diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -36,13 +36,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_432625" type="Const" version="opset1">
+		<layer id="4" name="Constant_52090" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5" name="ShapeOf_432611" type="ShapeOf" version="opset3">
+		<layer id="5" name="ShapeOf_52076" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -56,7 +56,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="Constant_432613" type="Const" version="opset1">
+		<layer id="6" name="Constant_52078" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64,13 +64,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="Constant_432615" type="Const" version="opset1">
+		<layer id="7" name="Constant_52080" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="8" name="Gather_432616" type="Gather" version="opset8">
+		<layer id="8" name="Gather_52081" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -87,7 +87,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Constant_432618" type="Const" version="opset1">
+		<layer id="9" name="Constant_52083" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95,7 +95,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_432620" type="Const" version="opset1">
+		<layer id="10" name="Constant_52085" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -103,7 +103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="Constant_432622" type="Const" version="opset1">
+		<layer id="11" name="Constant_52087" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -111,7 +111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="Concat_432623" type="Concat" version="opset1">
+		<layer id="12" name="Concat_52088" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -133,7 +133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Broadcast_432626" type="Broadcast" version="opset3">
+		<layer id="13" name="Broadcast_52091" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -150,7 +150,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="ReadValue_417408" type="ReadValue" version="opset6">
+		<layer id="14" name="ReadValue_49860" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.9.valuepresent.9.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -169,13 +169,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="Constant_401947" type="Const" version="opset1">
+		<layer id="15" name="Constant_47386" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="16" name="Gather_401948" type="Gather" version="opset8">
+		<layer id="16" name="Gather_47387" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -207,7 +207,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="Convert_448844" type="Convert" version="opset1">
+		<layer id="18" name="Convert_73339" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -231,7 +231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="Convert_448847" type="Convert" version="opset1">
+		<layer id="20" name="Convert_73342" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -293,8 +293,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="self.model.gpt_neox.embed_in.weight/fq_weights_0/convert" type="Convert" version="opset1">
+		<layer id="24" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>50432</dim>
@@ -308,7 +311,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="__module.model.gpt_neox.embed_in/aten::embedding/Convert" type="Convert" version="opset1">
+		<layer id="25" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert_1" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64">
@@ -323,13 +326,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="__module.model.gpt_neox.embed_in/aten::embedding/Constant" type="Const" version="opset1">
+		<layer id="26" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Constant" type="Const" version="opset1">
 			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="27" name="__module.model.gpt_neox.embed_in/aten::embedding/Gather" type="Gather" version="opset8">
+		<layer id="27" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -343,14 +346,14 @@
 				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="306,input.1">
+				<port id="3" precision="FP32" names="296,inputs_embeds">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="28" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -378,7 +381,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="30" name="Constant_325188" type="Const" version="opset1">
+		<layer id="30" name="Constant_36902" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 2560" offset="129257248" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
@@ -388,7 +391,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="31" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -410,7 +413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="Constant_325189" type="Const" version="opset1">
+		<layer id="32" name="Constant_36903" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 2560" offset="129267488" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
@@ -435,7 +438,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="315">
+				<port id="2" precision="FP32" names="381,hidden_states.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
@@ -451,7 +454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="35" name="Convert_448855" type="Convert" version="opset1">
+		<layer id="35" name="Convert_73999" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -475,7 +478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="Convert_448858" type="Convert" version="opset1">
+		<layer id="37" name="Convert_74002" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -552,7 +555,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="42" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -573,7 +576,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="Constant_325190" type="Const" version="opset1">
+		<layer id="43" name="Constant_36904" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 7680" offset="148961568" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
@@ -583,7 +586,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="44" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -598,14 +601,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="322,qkv.1">
+				<port id="2" precision="FP32" names="388,qkv.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="45" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -626,7 +629,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="326,qkv.3">
+				<port id="2" precision="FP32" names="392,qkv.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -634,32 +637,39 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="Constant_294370" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="47" name="Constant_709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="48" name="Constant_294373" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="48" name="Constant_711" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="49" name="Constant_294376" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="49" name="Constant_713" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="__module.model.gpt_neox/aten::slice/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992328" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="50" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="51" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -668,17 +678,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="327">
+				<port id="5" precision="FP32" names="393">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -686,15 +699,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="51" name="Constant_222" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="52" name="Constant_722" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="328">
+				<port id="0" precision="I64" names="394">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="52" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="53" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -707,7 +720,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="329,query.1">
+				<port id="2" precision="FP32" names="395,query.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -715,32 +728,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="53" name="Constant_294382" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="54" name="Constant_763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="54" name="Constant_294385" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="55" name="Constant_765" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="55" name="Constant_294388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="56" name="Constant_767" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="56" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="57" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -749,17 +761,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="336,q.1">
+				<port id="5" precision="FP32" names="402,q.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -767,110 +782,49 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="58" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="58" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 40, 1" offset="148992368" size="160" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32" names="351">
+					<dim>1</dim>
+					<dim>40</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-		</layer>
-		<layer id="63" name="ShapeOf_337904" type="ShapeOf" version="opset3">
+		<layer id="59" name="ShapeOf_38165" type="ShapeOf" version="opset3">
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 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
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 			<output>
 				<port id="1" precision="I64">
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+					<dim>2</dim>
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 		</layer>
-		<layer id="64" name="Constant_340970" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="60" name="Constant_38166" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="Constant_337906" type="Const" version="opset1">
+		<layer id="61" name="Constant_38167" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="66" name="Gather_337907" type="Gather" version="opset8">
+		<layer id="62" name="Gather_38168" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -878,42 +832,28 @@
 				<port id="2" precision="I64" />
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 			<output>
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-			<output>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64" names="352">
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 			</output>
 		</layer>
-		<layer id="69" name="Constant_432633" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="63" name="Constant_32526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="70" name="Constant_432635" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="64" name="Constant_32528" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="Concat_432636" type="Concat" version="opset1">
+		<layer id="65" name="__module.model.gpt_neox.rotary_emb/prim::ListConstruct" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -925,241 +865,160 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
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-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="73" name="ReadValue_417282" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="66" name="__module.model.gpt_neox.rotary_emb/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.0.key">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="2" precision="FP32" names="354,359,inv_freq_expanded,inv_freq_expanded.1">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="74" name="Constant_401890" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="67" name="204" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64" names="204" />
 			</output>
 		</layer>
-		<layer id="75" name="Gather_401891" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="68" name="__module.model.gpt_neox.rotary_emb/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
+				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I32">
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64" />
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 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
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-		<layer id="76" name="ShapeOf_337909" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="I64" names="356,357">
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-		<layer id="78" name="Constant_337911" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="79" name="Gather_337912" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="69" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert_2" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
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-		<layer id="80" name="Constant_337582" type="Const" version="opset1">
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32" names="358,360,position_ids_expanded,position_ids_expanded.1">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="82" name="__module.model.gpt_neox.layers.0.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="70" name="__module.model.gpt_neox.rotary_emb/aten::matmul/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="361">
+					<dim>-1</dim>
+					<dim>40</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="71" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="148992528" size="12" />
 			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="I32">
+					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="72" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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-				<port id="2" precision="I64">
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+					<dim>-1</dim>
+					<dim>40</dim>
+					<dim>-1</dim>
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-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>3</dim>
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 			</input>
 			<output>
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+					<dim>-1</dim>
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 		</layer>
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-			<data destination_type="i32" />
+		<layer id="73" name="__module.model.gpt_neox.rotary_emb/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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 					<dim>-1</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
-				<port id="1" precision="I32">
+				<port id="2" precision="FP32" names="364,emb">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="87" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="74" name="__module.model.gpt_neox.rotary_emb/aten::cos/Cos" type="Cos" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="355">
+				<port id="1" precision="FP32" names="365,367,369,372,cos.1,cos.3,cos.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="88" name="205" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="205" />
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-		</layer>
-		<layer id="89" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="75" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1169,7 +1028,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="356,cos.3">
+				<port id="2" precision="FP32" names="1081,1193,1305,1417,1529,1641,1753,1865,1977,2089,2201,2313,2425,2537,2649,2761,2873,2985,3097,3209,3321,3433,3545,3657,3769,3881,406,521,633,745,857,969,cos,cos.11,cos.13,cos.15,cos.17,cos.19,cos.21,cos.23,cos.25,cos.27,cos.29,cos.31,cos.33,cos.35,cos.37,cos.39,cos.41,cos.43,cos.45,cos.47,cos.49,cos.51,cos.53,cos.55,cos.57,cos.59,cos.61,cos.63,cos.65,cos.67,cos.7,cos.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1177,7 +1036,7 @@
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 		</layer>
-		<layer id="90" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="76" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1194,7 +1053,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="360">
+				<port id="2" precision="FP32" names="408">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1202,156 +1061,31 @@
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 		</layer>
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-		<layer id="92" name="Constant_294404" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="77" name="Constant_921" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
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 				<port id="0" precision="I64">
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-				<port id="1" precision="I64" />
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-		<layer id="99" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
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-		<layer id="100" name="Constant_337584" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="78" name="Constant_923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-		</layer>
-		<layer id="102" name="Constant_294403" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="79" name="Constant_925" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
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 				<port id="0" precision="I64">
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-				<port id="0" precision="I64">
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-				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="80" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1360,17 +1094,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="370,x2.1">
+				<port id="5" precision="FP32" names="418,x2.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1378,8 +1115,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="Constant_325191" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="81" name="Constant_36905" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1389,7 +1126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="82" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1406,7 +1143,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="371">
+				<port id="2" precision="FP32" names="419">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1414,24 +1151,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="Constant_294457" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="83" name="Constant_818" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="Constant_294462" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="84" name="Constant_862" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="Constant_864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="86" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1440,17 +1184,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="365">
+				<port id="5" precision="FP32" names="413">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1458,7 +1205,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="87" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1475,7 +1222,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="373">
+				<port id="2" precision="FP32" names="421">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1483,83 +1230,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="114" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="115" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="116" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="88" name="__module.model.gpt_neox.rotary_emb/aten::sin/Sin" type="Sin" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="350,353,sin.1">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="117" name="Constant_38230" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="118" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="358">
+				<port id="1" precision="FP32" names="366,368,370,373,sin.1,sin.3,sin.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="89" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1569,7 +1256,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="359,sin.3">
+				<port id="2" precision="FP32" names="1082,1194,1306,1418,1530,1642,1754,1866,1978,2090,2202,2314,2426,2538,2650,2762,2874,2986,3098,3210,3322,3434,3546,3658,3770,3882,407,522,634,746,858,970,sin,sin.11,sin.13,sin.15,sin.17,sin.19,sin.21,sin.23,sin.25,sin.27,sin.29,sin.31,sin.33,sin.35,sin.37,sin.39,sin.41,sin.43,sin.45,sin.47,sin.49,sin.51,sin.53,sin.55,sin.57,sin.59,sin.61,sin.63,sin.65,sin.67,sin.7,sin.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1577,7 +1264,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="90" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1594,7 +1281,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="374">
+				<port id="2" precision="FP32" names="422">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1602,7 +1289,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="91" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1619,7 +1306,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="375,393,403,query.3,query.5">
+				<port id="2" precision="FP32" names="423,441">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1627,105 +1314,116 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="Constant_236" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="331">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="123" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="92" name="Constant_52102" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="2" precision="FP32" names="332,key.1">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="124" name="Constant_294508" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="93" name="Constant_52095" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="Constant_294511" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="94" name="Constant_52097" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="Constant_294514" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="95" name="Constant_52099" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="96" name="Concat_52100" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="97" name="Broadcast_52103" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="ReadValue_49734" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.0.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="99" name="Constant_47329" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="100" name="Gather_47330" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="376">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1733,144 +1431,193 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="Constant_294518" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="101" name="Constant_727" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="Constant_294517" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="102" name="Constant_729" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="103" name="Constant_731" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="396">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="132" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="105" name="Constant_740" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64" names="397">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="133" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="106" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="377,382" />
+				<port id="2" precision="FP32" names="398,key.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="134" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="107" name="Constant_783" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="135" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="108" name="Constant_785" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="379,380,384,385" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="136" name="Constant_337586" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="109" name="Constant_787" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="110" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="138" name="Constant_294516" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="404,k.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="139" name="ScatterUpdate_294519" type="ScatterUpdate" version="opset3">
+		<layer id="111" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="424">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="Constant_294522" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="112" name="Constant_1064" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="141" name="Constant_294525" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="113" name="Constant_1066" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="114" name="Constant_1068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1879,17 +1626,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="386,x2.3">
+				<port id="5" precision="FP32" names="434,x2.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1897,8 +1647,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="Constant_325192" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="116" name="Constant_36906" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1908,7 +1658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="117" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1925,7 +1675,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="387">
+				<port id="2" precision="FP32" names="435">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1933,24 +1683,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="Constant_294570" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="118" name="Constant_961" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="Constant_294575" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="119" name="Constant_1005" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="120" name="Constant_1007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1959,17 +1716,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="381">
+				<port id="5" precision="FP32" names="429">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1977,7 +1737,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="122" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1994,7 +1754,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="389">
+				<port id="2" precision="FP32" names="437">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2002,7 +1762,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="123" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2019,7 +1779,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="390">
+				<port id="2" precision="FP32" names="438">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2027,7 +1787,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="124" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2044,7 +1804,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="391,395">
+				<port id="2" precision="FP32" names="439,443,key_states">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2052,7 +1812,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="__module.model.gpt_neox.layers.0.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="125" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2077,13 +1837,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="Constant_432651" type="Const" version="opset1">
+		<layer id="126" name="Constant_52114" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="153" name="Constant_432644" type="Const" version="opset1">
+		<layer id="127" name="Constant_52107" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2091,7 +1851,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Constant_432646" type="Const" version="opset1">
+		<layer id="128" name="Constant_52109" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2099,7 +1859,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="Constant_432648" type="Const" version="opset1">
+		<layer id="129" name="Constant_52111" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2107,7 +1867,7 @@
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 			</output>
 		</layer>
-		<layer id="156" name="Concat_432649" type="Concat" version="opset1">
+		<layer id="130" name="Concat_52112" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2129,7 +1889,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Broadcast_432652" type="Broadcast" version="opset3">
+		<layer id="131" name="Broadcast_52115" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -2146,7 +1906,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="ReadValue_417284" type="ReadValue" version="opset6">
+		<layer id="132" name="ReadValue_49736" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2165,13 +1925,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="Constant_401893" type="Const" version="opset1">
+		<layer id="133" name="Constant_47332" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="160" name="Gather_401894" type="Gather" version="opset8">
+		<layer id="134" name="Gather_47333" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2194,32 +1954,31 @@
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 			</output>
 		</layer>
-		<layer id="161" name="Constant_294620" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="135" name="Constant_745" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="162" name="Constant_294623" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="136" name="Constant_747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="163" name="Constant_294626" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="137" name="Constant_749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="138" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2228,17 +1987,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="333">
+				<port id="5" precision="FP32" names="399">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -2246,15 +2008,15 @@
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 			</output>
 		</layer>
-		<layer id="165" name="Constant_250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="139" name="Constant_758" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="334">
+				<port id="0" precision="I64" names="400">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="140" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2267,7 +2029,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="335">
+				<port id="2" precision="FP32" names="401">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2275,7 +2037,7 @@
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 			</output>
 		</layer>
-		<layer id="167" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="141" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2300,203 +2062,218 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
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-				<port id="0" precision="BOOL" names="412">
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="169" name="Constant_294630" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="170" name="Constant_294629" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="142" name="__module.model.gpt_neox/aten::triu/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="171" name="ShapeOf_337914" type="ShapeOf" version="opset3">
+		<layer id="143" name="ShapeOf_38175" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="172" name="Constant_337915" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="144" name="Constant_38176" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="173" name="Constant_337916" type="Const" version="opset1">
+		<layer id="145" name="Constant_38177" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="174" name="Gather_337917" type="Gather" version="opset8">
+		<layer id="146" name="Gather_38178" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="3" precision="I64" names="308,325" />
 			</output>
 		</layer>
-		<layer id="175" name="Add_337918" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="147" name="Convert_38181" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="407" />
+				<port id="1" precision="I32" />
+			</output>
+		</layer>
+		<layer id="148" name="__module.model.gpt_neox/aten::triu/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="148992568" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="149" name="__module.model.gpt_neox/aten::triu/Range" type="Range" version="opset4">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="150" name="__module.model.gpt_neox/aten::triu/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="__module.model.gpt_neox/aten::triu/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="148992568" size="4" />
+			<output>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="176" name="ShapeOf_337985" type="ShapeOf" version="opset3">
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 			<input>
-				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 			<output>
 				<port id="1" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="153" name="Constant_38170" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="178" name="Constant_337987" type="Const" version="opset1">
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 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="179" name="Gather_337988" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
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 				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="I64" names="300,307" />
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="156" name="Convert_38186" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="409,410" />
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 			</output>
 		</layer>
-		<layer id="181" name="Constant_337588" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="157" name="__module.model.gpt_neox/aten::triu/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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 			<output>
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+				<port id="2" precision="I32" />
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="158" name="__module.model.gpt_neox/aten::triu/Range_1" type="Range" version="opset4">
+			<data output_type="i32" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-				</port>
+				<port id="0" precision="I32" />
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="3" precision="I32">
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 				</port>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
+		<layer id="159" name="__module.model.gpt_neox/aten::triu/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
 				<port id="0" precision="I32">
+					<dim>-1</dim>
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+				<port id="1" precision="I32" />
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+			<output>
+				<port id="2" precision="I32">
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="184" name="ScatterUpdate_294631" type="ScatterUpdate" version="opset3">
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+			<data auto_broadcast="numpy" />
 			<input>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
-				<port id="3" precision="I32">
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="2" precision="BOOL">
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="185" name="Constant_294632" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="161" name="__module.model.gpt_neox/aten::full/Convert" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="186" name="Constant_337590" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="162" name="Constant_38173" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="187" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
+		<layer id="163" name="Reshape_38174" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="I64" />
@@ -2510,295 +2287,218 @@
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 			</output>
 		</layer>
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-		<layer id="189" name="Constant_294636" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
+		<layer id="164" name="Constant_38179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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+		<layer id="165" name="Reshape_38180" type="Reshape" version="opset1">
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@@ -2979,17 +2612,17 @@
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 			</output>
 		</layer>
-		<layer id="220" name="Constant_337997" type="Const" version="opset1">
+		<layer id="191" name="Constant_38197" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="221" name="Gather_337998" type="Gather" version="opset8">
+		<layer id="192" name="Gather_38198" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -2997,36 +2630,36 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="400">
+				<port id="3" precision="I64" names="309">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="222" name="Constant_267961" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="193" name="Constant_32534" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="Constant_267963" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="194" name="Constant_32536" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="Constant_267965" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="195" name="Constant_32538" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="196" name="__module.model.gpt_neox/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -3043,32 +2676,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="417">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="226" name="Maximum_314990" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="197" name="__module.model.gpt_neox/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -3078,7 +2695,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="419">
+				<port id="2" precision="FP32" names="323,326,327,328,336,337,338,341_1,342_1,343_1,causal_mask.5">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -3086,28 +2703,43 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="__module.model.gpt_neox.layers.0.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="198" name="Constant_26933" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992600" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="SliceAssign_493/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="200" name="Constant_21430" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="201" name="SliceAssign_493/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -3115,555 +2747,682 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="420,421,sdpa_result.1,tensor.1">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="Constant_691" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="422">
+		<layer id="202" name="SliceAssign_493/ReduceProd" type="ReduceProd" version="opset1">
+			<data keep_dims="false" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" />
 			</output>
 		</layer>
-		<layer id="230" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="203" name="Constant_21431" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="204" name="SliceAssign_493/Range" type="Range" version="opset4">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>-1</dim>
-					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="SliceAssign_493/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="423">
+				<port id="2" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="206" name="Constant_482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="__module.model.gpt_neox.layers.0.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="207" name="Constant_485" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="SliceAssign_493/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="428">
+				<port id="5" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="self.model.gpt_neox.layers.0.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="154497668" size="6553600" />
+		<layer id="209" name="Constant_21433" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="148992584" size="16" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="Convert_448866" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="210" name="SliceAssign_493/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="self.model.gpt_neox.layers.0.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="161051268" size="2560" />
+		<layer id="211" name="Constant_365" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="Convert_448869" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="212" name="Constant_368" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="self.model.gpt_neox.layers.0.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="213" name="__module.model.gpt_neox/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="238" name="self.model.gpt_neox.layers.0.attention.dense.weight/scale" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="239" name="self.model.gpt_neox.layers.0.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="5" precision="FP32" names="329,339,344_1">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data destination_type="f32" />
+		<layer id="214" name="__module.model.gpt_neox/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64" names="331">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
-			<input>
+		<layer id="215" name="202" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64" names="202" />
+			</output>
+		</layer>
+		<layer id="216" name="__module.model.gpt_neox/aten::unsqueeze/Unsqueeze_3" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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+				<port id="1" precision="I64" />
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+			<output>
+				<port id="2" precision="I64" names="332,333">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="__module.model.gpt_neox/aten::add/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
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+					<dim>1</dim>
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+			</output>
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+		<layer id="218" name="__module.model.gpt_neox/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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 				<port id="1" precision="FP32">
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-					<dim>2560</dim>
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 			</input>
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 					<dim>-1</dim>
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+		<layer id="244" name="Convert_74351" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="213590148" size="2560" />
+		<layer id="245" name="self.model.gpt_neox.layers.0.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="155546248" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -3671,7 +3430,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="Convert_448891" type="Convert" version="opset1">
+		<layer id="246" name="Convert_74354" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -3686,12 +3445,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="247" name="self.model.gpt_neox.layers.0.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -3701,12 +3460,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="213592708" size="5120" />
+		<layer id="248" name="self.model.gpt_neox.layers.0.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="155548808" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -3714,12 +3473,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="249" name="self.model.gpt_neox.layers.0.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -3729,36 +3488,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="250" name="self.model.gpt_neox.layers.0.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="251" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -3769,8 +3528,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="Constant_325200" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="213597828" size="10240" />
+		<layer id="252" name="Constant_36908" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="155553928" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3779,7 +3538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="253" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3794,14 +3553,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="450,input.5">
+				<port id="2" precision="FP32" names="463,465,input.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="__module.model.gpt_neox.layers.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="254" name="__module.model.gpt_neox.layers.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3816,14 +3575,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="452,454,hidden_states.3">
+				<port id="2" precision="FP32" names="469,attn_output.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="255" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -3831,7 +3590,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="256" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3851,8 +3610,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="Constant_325201" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="213608068" size="10240" />
+		<layer id="257" name="Constant_36909" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="155564168" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3861,7 +3620,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="258" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3883,8 +3642,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="Constant_325202" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="213618308" size="10240" />
+		<layer id="259" name="Constant_36910" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="155574408" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3893,7 +3652,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="260" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3908,124 +3667,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="464">
+				<port id="2" precision="FP32" names="473">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="213628548" size="19660800" />
+		<layer id="261" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="155584648" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="Convert_448899" type="Convert" version="opset1">
+		<layer id="262" name="Convert_73359" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="233289348" size="7680" />
+		<layer id="263" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="181799048" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="Convert_448902" type="Convert" version="opset1">
+		<layer id="264" name="Convert_73362" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="265" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="233297028" size="15360" />
+		<layer id="266" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="181809288" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="267" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="268" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="269" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4034,7 +3796,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -4042,721 +3804,586 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="Constant_325203" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="233312388" size="30720" />
+		<layer id="270" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="181829768" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="272" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="471,qkv.5">
+				<port id="2" precision="FP32" names="478">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="292" name="__module.model.gpt_neox.layers.1.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="273" name="__module.model.gpt_neox.layers.0.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
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@@ -4764,114 +4391,76 @@
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="314" name="Constant_1403" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="315" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4880,42 +4469,45 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="514">
+				<port id="5" precision="FP32" names="517,q.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="316" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="522">
+				<port id="2" precision="FP32" names="523">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -4923,36 +4515,36 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="317" name="Constant_1557" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="318" name="Constant_1559" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="319" name="Constant_1561" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="320" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -4964,77 +4556,127 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="499,502,sin.5">
+				<port id="5" precision="FP32" names="533,x2.5">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="Constant_38236" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="321" name="Constant_36914" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="361" name="__module.model.gpt_neox.layers.1.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="322" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="507">
+				<port id="2" precision="FP32" names="534">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="Constant_1454" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="Constant_1498" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="Constant_1500" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="__module.model.gpt_neox.layers.1.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="326" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="508,sin.7">
+				<port id="5" precision="FP32" names="528">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="327" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="523">
+				<port id="2" precision="FP32" names="536">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5042,7 +4684,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="328" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5053,13 +4695,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="524,542,552,query.11,query.9">
+				<port id="2" precision="FP32" names="537">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5067,28 +4709,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="Constant_817" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="480">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="366" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="329" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="481,key.7">
+				<port id="2" precision="FP32" names="538,556">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5096,76 +4734,116 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="Constant_294872" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="330" name="Constant_52126" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="331" name="Constant_52119" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="Constant_294875" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="332" name="Constant_52121" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="Constant_294878" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="333" name="Constant_52123" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="334" name="Concat_52124" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="Broadcast_52127" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="487,k.3">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="336" name="ReadValue_49738" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.keypresent.1.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.1.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="337" name="Constant_47335" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="338" name="Gather_47336" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="525">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5173,144 +4851,193 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="Constant_294882" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="339" name="Constant_1363" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="Constant_294881" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="340" name="Constant_1365" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="__module.model.gpt_neox.layers.1.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="341" name="Constant_1367" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="511">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="__module.model.gpt_neox.layers.1.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="343" name="Constant_1376" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64" names="512">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="376" name="__module.model.gpt_neox.layers.1.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="344" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="526,531" />
+				<port id="2" precision="FP32" names="513,key.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="377" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="345" name="Constant_1419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="378" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="346" name="Constant_1421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="528,529,533,534" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="379" name="Constant_337598" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="347" name="Constant_1423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="348" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="381" name="Constant_294880" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="519,k.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="382" name="ScatterUpdate_294883" type="ScatterUpdate" version="opset3">
+		<layer id="349" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="539">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="Constant_294886" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="350" name="Constant_1700" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="Constant_294889" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="351" name="Constant_1702" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="352" name="Constant_1704" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5319,17 +5046,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="535,x2.7">
+				<port id="5" precision="FP32" names="549,x2.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5337,8 +5067,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="Constant_325205" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="354" name="Constant_36915" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5348,7 +5078,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="355" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5365,7 +5095,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="536">
+				<port id="2" precision="FP32" names="550">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5373,24 +5103,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="Constant_294934" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="356" name="Constant_1597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="Constant_294939" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="357" name="Constant_1641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="358" name="Constant_1643" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5399,17 +5136,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="530">
+				<port id="5" precision="FP32" names="544">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5417,7 +5157,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="360" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5434,7 +5174,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="538">
+				<port id="2" precision="FP32" names="552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5442,7 +5182,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="361" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5459,7 +5199,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="539">
+				<port id="2" precision="FP32" names="553">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5467,7 +5207,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="362" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5484,7 +5224,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="540,544">
+				<port id="2" precision="FP32" names="554,558">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5492,7 +5232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="__module.model.gpt_neox.layers.1.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="363" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5517,13 +5257,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="Constant_432677" type="Const" version="opset1">
+		<layer id="364" name="Constant_52138" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="396" name="Constant_432670" type="Const" version="opset1">
+		<layer id="365" name="Constant_52131" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5531,7 +5271,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="Constant_432672" type="Const" version="opset1">
+		<layer id="366" name="Constant_52133" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5539,7 +5279,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="Constant_432674" type="Const" version="opset1">
+		<layer id="367" name="Constant_52135" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5547,7 +5287,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="Concat_432675" type="Concat" version="opset1">
+		<layer id="368" name="Concat_52136" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5569,7 +5309,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="Broadcast_432678" type="Broadcast" version="opset3">
+		<layer id="369" name="Broadcast_52139" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -5586,7 +5326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="ReadValue_417288" type="ReadValue" version="opset6">
+		<layer id="370" name="ReadValue_49740" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.1.valuepresent.1.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5605,13 +5345,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="Constant_401899" type="Const" version="opset1">
+		<layer id="371" name="Constant_47338" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="403" name="Gather_401900" type="Gather" version="opset8">
+		<layer id="372" name="Gather_47339" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5634,32 +5374,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="Constant_294984" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="373" name="Constant_1381" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="Constant_294987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="374" name="Constant_1383" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="Constant_294990" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="375" name="Constant_1385" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="376" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5668,17 +5407,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				<port id="3" precision="I64">
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+				<port id="5" precision="FP32" names="514">
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -5686,15 +5428,15 @@
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-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="377" name="Constant_1394" type="Const" version="opset1">
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+				<port id="0" precision="I64" names="515">
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-		<layer id="409" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="378" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5707,7 +5449,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="516">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5715,7 +5457,7 @@
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
@@ -5740,34 +5482,15 @@
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="380" name="Constant_1776" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="414" name="ShapeOf_338010" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5783,385 +5506,45 @@
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 			</output>
 		</layer>
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-		<layer id="416" name="Constant_338012" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="382" name="Constant_38273" type="Const" version="opset1">
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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 		</layer>
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="421" name="Constant_338083" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="422" name="Gather_338084" type="Gather" version="opset8">
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 				<port id="0" precision="I64">
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 				<port id="1" precision="I64">
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 					<dim>1</dim>
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 		</layer>
-		<layer id="445" name="ShapeOf_315061" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			<output>
@@ -6170,21 +5553,21 @@
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 			</output>
 		</layer>
-		<layer id="446" name="Constant_338087" type="Const" version="opset1">
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+		<layer id="386" name="Constant_38277" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="Constant_338088" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="448" name="Gather_338089" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6196,40 +5579,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="549">
+				<port id="3" precision="I64">
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+				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="I64" names="563">
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 			</output>
 		</layer>
-		<layer id="452" name="__module.model.gpt_neox.layers.1.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="391" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -6240,44 +5625,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="566">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="453" name="Maximum_315062" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="454" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="568">
+				<port id="5" precision="FP32" names="567">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -6285,7 +5638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="__module.model.gpt_neox.layers.1.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="392" name="__module.model.gpt_neox.layers.1.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6314,7 +5667,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="569,570,sdpa_result.3,tensor.5">
+				<port id="4" precision="FP32" names="568,attn_output.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -6322,15 +5675,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="Constant_1272" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="393" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" names="571">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="394" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6338,12 +5691,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="572">
+				<port id="2" precision="FP32" names="569">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -6351,15 +5704,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="__module.model.gpt_neox.layers.1.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="395" name="Constant_40536" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="396" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6373,15 +5726,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="577">
+				<port id="2" precision="FP32" names="572">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="self.model.gpt_neox.layers.1.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="233343108" size="6553600" />
+		<layer id="397" name="self.model.gpt_neox.layers.1.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="227812488" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -6389,7 +5742,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="Convert_448910" type="Convert" version="opset1">
+		<layer id="398" name="Convert_74362" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6404,8 +5757,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="239896708" size="2560" />
+		<layer id="399" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="234366088" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -6413,7 +5766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="Convert_448913" type="Convert" version="opset1">
+		<layer id="400" name="Convert_74365" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6428,7 +5781,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="464" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="401" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6447,8 +5800,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="465" name="self.model.gpt_neox.layers.1.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="239899268" size="5120" />
+		<layer id="402" name="self.model.gpt_neox.layers.1.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="234368648" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -6456,7 +5809,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="403" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6475,7 +5828,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="404" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6490,7 +5843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="__module.model.gpt_neox.layers.1.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="405" name="__module.model.gpt_neox.layers.1.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6511,8 +5864,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="Constant_325206" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="239904388" size="10240" />
+		<layer id="406" name="Constant_36916" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="234373768" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6521,7 +5874,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="__module.model.gpt_neox.layers.1.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="407" name="__module.model.gpt_neox.layers.1.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6536,14 +5889,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="580,582,input.7">
+				<port id="2" precision="FP32" names="575,577,input.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="__module.model.gpt_neox.layers.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="408" name="__module.model.gpt_neox.layers.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6558,14 +5911,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="586,attn_output.7">
+				<port id="2" precision="FP32" names="581,attn_output.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="472" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="409" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -6573,7 +5926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="410" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6593,8 +5946,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="Constant_325207" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="239914628" size="10240" />
+		<layer id="411" name="Constant_36917" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="234384008" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6603,7 +5956,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="412" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6625,8 +5978,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="Constant_325208" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="239924868" size="10240" />
+		<layer id="413" name="Constant_36918" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="234394248" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6635,7 +5988,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="414" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6650,15 +6003,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="590">
+				<port id="2" precision="FP32" names="585">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="239935108" size="26214400" />
+		<layer id="415" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="234404488" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -6666,7 +6019,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="Convert_448921" type="Convert" version="opset1">
+		<layer id="416" name="Convert_73379" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6681,8 +6034,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="266149508" size="10240" />
+		<layer id="417" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="260618888" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -6690,7 +6043,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="Convert_448924" type="Convert" version="opset1">
+		<layer id="418" name="Convert_73382" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6705,7 +6058,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="419" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6724,8 +6077,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="266159748" size="20480" />
+		<layer id="420" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="260629128" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -6733,7 +6086,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="421" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6752,8 +6105,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="422" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -6767,7 +6123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="423" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6788,17 +6144,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="Constant_325209" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="266180228" size="40960" />
+		<layer id="424" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="260649608" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="425" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6807,20 +6177,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="595">
+				<port id="2" precision="FP32" names="590">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="427" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6830,15 +6198,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="596">
+				<port id="1" precision="FP32" names="591">
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 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="266221188" size="26214400" />
+		<layer id="428" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="260670088" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -6846,7 +6214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="Convert_448932" type="Convert" version="opset1">
+		<layer id="429" name="Convert_73389" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6861,8 +6229,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="292435588" size="2560" />
+		<layer id="430" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="286884488" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -6870,7 +6238,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="Convert_448935" type="Convert" version="opset1">
+		<layer id="431" name="Convert_73392" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -6885,7 +6253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="432" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6904,8 +6272,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="292438148" size="5120" />
+		<layer id="433" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="286887048" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -6913,7 +6281,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="434" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6932,8 +6300,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="435" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -6947,7 +6318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="436" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6968,17 +6339,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="Constant_325210" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="292443268" size="10240" />
+		<layer id="437" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="286892168" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="439" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6987,20 +6372,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="599,input.9">
+				<port id="2" precision="FP32" names="594,input.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="__module.model.gpt_neox.layers.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="440" name="__module.model.gpt_neox.layers.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7015,14 +6398,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="601,603,hidden_states.5">
+				<port id="2" precision="FP32" names="596,598,hidden_states.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="441" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -7030,7 +6413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="442" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7050,8 +6433,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="Constant_325211" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="292453508" size="10240" />
+		<layer id="443" name="Constant_36919" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="286897288" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7060,7 +6443,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="444" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7082,8 +6465,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="Constant_325212" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="292463748" size="10240" />
+		<layer id="445" name="Constant_36920" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="286907528" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7092,7 +6475,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="446" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7107,15 +6490,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="613">
+				<port id="2" precision="FP32" names="608,hidden_states.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="292473988" size="19660800" />
+		<layer id="447" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="286917768" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -7123,7 +6506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="Convert_448943" type="Convert" version="opset1">
+		<layer id="448" name="Convert_74021" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -7138,8 +6521,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="312134788" size="7680" />
+		<layer id="449" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="306578568" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -7147,7 +6530,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="Convert_448946" type="Convert" version="opset1">
+		<layer id="450" name="Convert_74024" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -7162,7 +6545,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="451" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7181,8 +6564,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="312142468" size="15360" />
+		<layer id="452" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="306586248" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -7190,7 +6573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="514" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="453" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7209,7 +6592,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="454" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7224,7 +6607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="__module.model.gpt_neox.layers.2.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="455" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7245,8 +6628,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="Constant_325213" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="312157828" size="30720" />
+		<layer id="456" name="Constant_36921" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="306601608" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7255,7 +6638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="__module.model.gpt_neox.layers.2.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="457" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7270,14 +6653,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="620,qkv.9">
+				<port id="2" precision="FP32" names="615,qkv.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="519" name="__module.model.gpt_neox.layers.2.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="458" name="__module.model.gpt_neox.layers.2.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -7285,7 +6668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="459" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7298,7 +6681,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="624,qkv.11">
+				<port id="2" precision="FP32" names="619,qkv.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -7306,32 +6689,31 @@
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 			</output>
 		</layer>
-		<layer id="521" name="Constant_295085" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="460" name="Constant_1975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="Constant_295088" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="461" name="Constant_1977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="523" name="Constant_295091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="462" name="Constant_1979" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="463" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7340,17 +6722,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="625">
+				<port id="5" precision="FP32" names="620">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -7358,15 +6743,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="Constant_1384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="464" name="Constant_1988" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="626">
+				<port id="0" precision="I64" names="621">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="465" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7379,7 +6764,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="627,query.13">
+				<port id="2" precision="FP32" names="622,query.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7387,32 +6772,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="Constant_295097" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="466" name="Constant_2029" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="Constant_295100" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="467" name="Constant_2031" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="Constant_295103" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="468" name="Constant_2033" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="469" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7421,17 +6805,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="634,q.5">
+				<port id="5" precision="FP32" names="629,q.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7439,157 +6826,62 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="self.model.gpt_neox.layers.2.attention.rotary_emb.cos_cached" type="Const" version="opset1">
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-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.2.attention.rotary_emb.cos_cached">
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-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="532" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
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-				<port id="0" precision="I64">
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="533" name="Constant_295109" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="534" name="Constant_295112" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="535" name="Constant_295115" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="536" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="470" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-			</input>
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-					<dim>-1</dim>
 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
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-		<layer id="537" name="ShapeOf_338091" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-			</output>
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-		<layer id="538" name="Constant_340976" type="Const" version="opset1">
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-		</layer>
-		<layer id="539" name="Constant_338093" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-				<port id="1" precision="I64">
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-			</input>
-			<output>
-				<port id="3" precision="I64" names="638">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="635">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="Constant_432690" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="542" name="Constant_432683" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="471" name="Constant_2187" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="Constant_432685" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="472" name="Constant_2189" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="Constant_432687" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="473" name="Constant_2191" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="Concat_432688" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="474" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -7600,170 +6892,85 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="546" name="Broadcast_432691" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
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-					<dim>80</dim>
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-		</layer>
-		<layer id="547" name="ReadValue_417330" type="ReadValue" version="opset6">
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.2.key">
+				<port id="5" precision="FP32" names="645,x2.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="Constant_401902" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="475" name="Constant_36922" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="549" name="Gather_401903" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="476" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="646">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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-				<port id="0" precision="I64">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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+		<layer id="478" name="Constant_2128" type="Const" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="479" name="Constant_2130" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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+		<layer id="480" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 				<port id="1" precision="I64">
@@ -7775,60 +6982,45 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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+				<port id="5" precision="FP32" names="640">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
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-		<layer id="560" name="__module.model.gpt_neox.layers.2.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="481" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat" type="Concat" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="3" precision="FP32" names="653">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
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-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="654,cos.11">
+				<port id="2" precision="FP32" names="648">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="482" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7845,7 +7037,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="658">
+				<port id="2" precision="FP32" names="649">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7853,24 +7045,8 @@
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 			</output>
 		</layer>
-		<layer id="563" name="Constant_295120" type="Const" version="opset1">
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-		<layer id="564" name="Constant_295119" type="Const" version="opset1">
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-			<data output_type="i64" />
+		<layer id="483" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7878,84 +7054,57 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="659,664" />
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-		</layer>
-		<layer id="568" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="2" precision="FP32" names="650,668">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="569" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="484" name="Constant_52150" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="1" precision="I64" names="661,662,666,667" />
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="570" name="Constant_337606" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="485" name="Constant_52143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="486" name="Constant_52145" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="572" name="Constant_295118" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="487" name="Constant_52147" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="573" name="ScatterUpdate_295121" type="ScatterUpdate" version="opset3">
+		<layer id="488" name="Concat_52148" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -7963,7 +7112,7 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
@@ -7973,104 +7122,50 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="574" name="Constant_295124" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="575" name="Constant_295127" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="576" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="489" name="Broadcast_52151" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="668,x2.9">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
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-		</layer>
-		<layer id="577" name="Constant_325214" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="578" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="490" name="ReadValue_49782" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.2.keypresent.2.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="669">
+				<port id="1" precision="FP32" names="past_key_values.2.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-			</output>
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-		<layer id="579" name="Constant_295172" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="Constant_295177" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="491" name="Constant_47341" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="581" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="492" name="Gather_47342" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8078,43 +7173,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
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-			</input>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="582" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat" type="Concat" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>40</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="671">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8122,37 +7187,37 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="583" name="self.model.gpt_neox.layers.2.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="493" name="Constant_1993" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.2.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="584" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="494" name="Constant_1995" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="585" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="495" name="Constant_1997" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="496" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -8163,118 +7228,28 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="648,651,sin.9">
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-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="587" name="Constant_38242" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="588" name="__module.model.gpt_neox.layers.2.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I32">
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-					<dim>-1</dim>
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-				<port id="2" precision="I32" />
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-			<output>
-				<port id="3" precision="FP32" names="656">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="589" name="__module.model.gpt_neox.layers.2.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64" />
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-			<output>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		<layer id="590" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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 					<dim>-1</dim>
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 					<dim>32</dim>
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 		</layer>
-		<layer id="592" name="Constant_1398" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="497" name="Constant_2006" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="624">
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 			</output>
 		</layer>
-		<layer id="593" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="498" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8287,7 +7262,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="630,key.13">
+				<port id="2" precision="FP32" names="625,key.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8295,32 +7270,31 @@
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 			</output>
 		</layer>
-		<layer id="594" name="Constant_295223" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="499" name="Constant_2049" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="595" name="Constant_295226" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="500" name="Constant_2051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="596" name="Constant_295229" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="501" name="Constant_2053" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="502" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8329,17 +7303,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="636,k.5">
+				<port id="5" precision="FP32" names="631,k.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8347,7 +7324,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="503" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8364,7 +7341,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="674">
+				<port id="2" precision="FP32" names="651">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8372,144 +7349,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="Constant_295233" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="600" name="Constant_295232" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="504" name="Constant_2330" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="__module.model.gpt_neox.layers.2.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="602" name="__module.model.gpt_neox.layers.2.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="603" name="__module.model.gpt_neox.layers.2.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="675,680" />
-			</output>
-		</layer>
-		<layer id="604" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="605" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="677,678,682,683" />
-			</output>
-		</layer>
-		<layer id="606" name="Constant_337608" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="505" name="Constant_2332" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="607" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="608" name="Constant_295231" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="506" name="Constant_2334" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="609" name="ScatterUpdate_295234" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="610" name="Constant_295237" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
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-		</layer>
-		<layer id="611" name="Constant_295240" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="612" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="507" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8518,17 +7382,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="684,x2.11">
+				<port id="5" precision="FP32" names="661,x2.11">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8536,8 +7403,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="613" name="Constant_325215" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="508" name="Constant_36923" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8547,7 +7414,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="509" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8564,7 +7431,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="685">
+				<port id="2" precision="FP32" names="662">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8572,24 +7439,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="Constant_295285" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="510" name="Constant_2227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="Constant_295290" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="511" name="Constant_2271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="Constant_2273" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="513" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8598,17 +7472,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="679">
+				<port id="5" precision="FP32" names="656">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8616,7 +7493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="618" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="514" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8633,7 +7510,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="687">
+				<port id="2" precision="FP32" names="664">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8641,7 +7518,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="515" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8658,7 +7535,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="688">
+				<port id="2" precision="FP32" names="665">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8666,7 +7543,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="620" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="516" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8683,7 +7560,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="689,693">
+				<port id="2" precision="FP32" names="666,670">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8691,7 +7568,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="621" name="__module.model.gpt_neox.layers.2.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="517" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8716,13 +7593,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="622" name="Constant_432703" type="Const" version="opset1">
+		<layer id="518" name="Constant_52162" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="623" name="Constant_432696" type="Const" version="opset1">
+		<layer id="519" name="Constant_52155" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8730,7 +7607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="624" name="Constant_432698" type="Const" version="opset1">
+		<layer id="520" name="Constant_52157" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8738,7 +7615,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="Constant_432700" type="Const" version="opset1">
+		<layer id="521" name="Constant_52159" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8746,7 +7623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="Concat_432701" type="Concat" version="opset1">
+		<layer id="522" name="Concat_52160" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -8768,7 +7645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="627" name="Broadcast_432704" type="Broadcast" version="opset3">
+		<layer id="523" name="Broadcast_52163" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -8785,7 +7662,7 @@
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 			</output>
 		</layer>
-		<layer id="628" name="ReadValue_417332" type="ReadValue" version="opset6">
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@@ -8804,13 +7681,13 @@
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 			</output>
 		</layer>
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="630" name="Gather_401906" type="Gather" version="opset8">
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 			<data batch_dims="0" />
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 				<port id="0" precision="FP32">
@@ -8833,32 +7710,31 @@
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-		<layer id="631" name="Constant_295335" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="527" name="Constant_2011" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="528" name="Constant_2013" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="529" name="Constant_2015" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="530" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8867,17 +7743,20 @@
 					<dim>240</dim>
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 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="626">
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -8885,15 +7764,15 @@
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 		</layer>
-		<layer id="635" name="Constant_1412" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="531" name="Constant_2024" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="627">
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 			</output>
 		</layer>
-		<layer id="636" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="532" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8906,7 +7785,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="628">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8914,7 +7793,7 @@
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 			</output>
 		</layer>
-		<layer id="637" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="533" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8939,34 +7818,15 @@
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 			</output>
 		</layer>
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-		<layer id="640" name="Constant_295344" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="534" name="Constant_2406" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="641" name="ShapeOf_338101" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8982,42 +7842,38 @@
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 		</layer>
-		<layer id="642" name="Constant_338102" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="536" name="Constant_38346" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="643" name="Constant_338103" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="644" name="Gather_338104" type="Gather" version="opset8">
+		<layer id="538" name="Gather_38348" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
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-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="705" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="646" name="ShapeOf_338172" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9033,75 +7889,68 @@
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 			</output>
 		</layer>
-		<layer id="647" name="Constant_338173" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="540" name="Constant_38350" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="648" name="Constant_338174" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="649" name="Gather_338175" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
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 				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="650" name="__module.model.gpt_neox.layers.2.attention/aten::sub/Subtract" type="Subtract" version="opset1">
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 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="I64">
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="675">
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 				</port>
 			</output>
 		</layer>
-		<layer id="653" name="Constant_295343" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="544" name="Constant_2409" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="654" name="ScatterUpdate_295346" type="ScatterUpdate" version="opset3">
+		<layer id="545" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -9109,383 +7958,24 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				<port id="4" precision="I64">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
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 				</port>
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-		<layer id="656" name="Constant_337612" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="5" precision="FP32" names="679">
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 					<dim>1</dim>
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-			<data auto_broadcast="numpy" />
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-		<layer id="682" name="__module.model.gpt_neox.layers.2.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="546" name="__module.model.gpt_neox.layers.2.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9513,7 +8003,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="718,719,sdpa_result.5,tensor.9">
+				<port id="4" precision="FP32" names="680,attn_output.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -9521,15 +8011,15 @@
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 			</output>
 		</layer>
-		<layer id="683" name="Constant_1853" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="547" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
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 			</output>
 		</layer>
-		<layer id="684" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="548" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9537,12 +8027,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="681">
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -9550,15 +8040,15 @@
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 			</output>
 		</layer>
-		<layer id="685" name="__module.model.gpt_neox.layers.2.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="549" name="Constant_40537" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="686" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="550" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9572,15 +8062,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="726">
+				<port id="2" precision="FP32" names="684">
 					<dim>-1</dim>
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 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 2560" offset="312188548" size="6553600" />
+		<layer id="551" name="self.model.gpt_neox.layers.2.attention.dense.weight" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -9588,7 +8078,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="688" name="Convert_448954" type="Convert" version="opset1">
+		<layer id="552" name="Convert_74373" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -9603,8 +8093,8 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="318742148" size="2560" />
+		<layer id="553" name="self.model.gpt_neox.layers.2.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="313185928" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -9612,7 +8102,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="690" name="Convert_448957" type="Convert" version="opset1">
+		<layer id="554" name="Convert_74376" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -9627,7 +8117,7 @@
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 			</output>
 		</layer>
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+		<layer id="555" name="self.model.gpt_neox.layers.2.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9646,8 +8136,8 @@
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 			</output>
 		</layer>
-		<layer id="692" name="self.model.gpt_neox.layers.2.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="318744708" size="5120" />
+		<layer id="556" name="self.model.gpt_neox.layers.2.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="313188488" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -9655,7 +8145,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="693" name="self.model.gpt_neox.layers.2.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="557" name="self.model.gpt_neox.layers.2.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9674,7 +8164,7 @@
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 			</output>
 		</layer>
-		<layer id="694" name="self.model.gpt_neox.layers.2.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="558" name="self.model.gpt_neox.layers.2.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9689,7 +8179,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="695" name="__module.model.gpt_neox.layers.2.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="559" name="__module.model.gpt_neox.layers.2.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9710,8 +8200,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="696" name="Constant_325216" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="318749828" size="10240" />
+		<layer id="560" name="Constant_36924" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="313193608" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9720,7 +8210,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="697" name="__module.model.gpt_neox.layers.2.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="561" name="__module.model.gpt_neox.layers.2.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9735,14 +8225,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="729,731,input.11">
+				<port id="2" precision="FP32" names="687,689,input.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="698" name="__module.model.gpt_neox.layers.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="562" name="__module.model.gpt_neox.layers.2/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9757,14 +8247,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="735,attn_output.11">
+				<port id="2" precision="FP32" names="693,attn_output.23">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="699" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="563" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -9772,7 +8262,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="700" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="564" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9792,8 +8282,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="701" name="Constant_325217" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="318760068" size="10240" />
+		<layer id="565" name="Constant_36925" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="313203848" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9802,7 +8292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="702" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="566" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9824,8 +8314,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="703" name="Constant_325218" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="318770308" size="10240" />
+		<layer id="567" name="Constant_36926" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="313214088" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9834,7 +8324,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="704" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="568" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9849,15 +8339,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="739">
+				<port id="2" precision="FP32" names="697">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="705" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="318780548" size="26214400" />
+		<layer id="569" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="313224328" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -9865,7 +8355,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="706" name="Convert_448965" type="Convert" version="opset1">
+		<layer id="570" name="Convert_73399" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -9880,8 +8370,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="707" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="344994948" size="10240" />
+		<layer id="571" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="339438728" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -9889,7 +8379,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="708" name="Convert_448968" type="Convert" version="opset1">
+		<layer id="572" name="Convert_73402" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -9904,7 +8394,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="709" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="573" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9923,8 +8413,8 @@
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 		</layer>
-		<layer id="710" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="345005188" size="20480" />
+		<layer id="574" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="339448968" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -9932,7 +8422,7 @@
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 			</output>
 		</layer>
-		<layer id="711" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="575" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -9951,8 +8441,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="712" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="576" name="__module.model.gpt_neox.layers.2.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -9966,7 +8459,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="713" name="__module.model.gpt_neox.layers.2.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="577" name="__module.model.gpt_neox.layers.2.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9987,17 +8480,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="714" name="Constant_325219" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="345025668" size="40960" />
+		<layer id="578" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="339469448" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="__module.model.gpt_neox.layers.2.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="715" name="__module.model.gpt_neox.layers.2.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="580" name="__module.model.gpt_neox.layers.2.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10006,20 +8513,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="744">
+				<port id="2" precision="FP32" names="702">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="716" name="__module.model.gpt_neox.layers.2.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="581" name="__module.model.gpt_neox.layers.2.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10029,15 +8534,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="745">
+				<port id="1" precision="FP32" names="703">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="717" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="345066628" size="26214400" />
+		<layer id="582" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="339489928" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -10045,7 +8550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="718" name="Convert_448976" type="Convert" version="opset1">
+		<layer id="583" name="Convert_73409" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -10060,8 +8565,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="719" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="371281028" size="2560" />
+		<layer id="584" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="365704328" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -10069,7 +8574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="720" name="Convert_448979" type="Convert" version="opset1">
+		<layer id="585" name="Convert_73412" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -10084,7 +8589,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="721" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="586" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10103,8 +8608,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="722" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="371283588" size="5120" />
+		<layer id="587" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="365706888" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -10112,7 +8617,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="723" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="588" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10131,8 +8636,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="724" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="589" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -10146,7 +8654,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="725" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="590" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10167,17 +8675,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="726" name="Constant_325220" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="371288708" size="10240" />
+		<layer id="591" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="365712008" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="727" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="592" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10186,20 +8708,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="748,input.13">
+				<port id="2" precision="FP32" names="706,input.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="728" name="__module.model.gpt_neox.layers.2/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="594" name="__module.model.gpt_neox.layers.2/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10214,14 +8734,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="750,752,hidden_states.7">
+				<port id="2" precision="FP32" names="708,710,hidden_states.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="729" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="595" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -10229,7 +8749,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="730" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="596" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10249,8 +8769,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="731" name="Constant_325221" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="371298948" size="10240" />
+		<layer id="597" name="Constant_36927" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="365717128" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10259,7 +8779,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="732" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="598" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10281,8 +8801,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="733" name="Constant_325222" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="371309188" size="10240" />
+		<layer id="599" name="Constant_36928" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="365727368" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10291,7 +8811,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="734" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="600" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10306,15 +8826,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="762">
+				<port id="2" precision="FP32" names="720,hidden_states.13">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="735" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="371319428" size="19660800" />
+		<layer id="601" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="365737608" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -10322,7 +8842,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="736" name="Convert_448987" type="Convert" version="opset1">
+		<layer id="602" name="Convert_74032" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -10337,8 +8857,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="737" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="390980228" size="7680" />
+		<layer id="603" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="385398408" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -10346,7 +8866,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="738" name="Convert_448990" type="Convert" version="opset1">
+		<layer id="604" name="Convert_74035" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -10361,7 +8881,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="739" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="605" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10380,8 +8900,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="740" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="390987908" size="15360" />
+		<layer id="606" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="385406088" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -10389,7 +8909,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="741" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="607" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10408,7 +8928,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="742" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="608" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -10423,7 +8943,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="743" name="__module.model.gpt_neox.layers.3.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="609" name="__module.model.gpt_neox.layers.3.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10444,8 +8964,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="744" name="Constant_325223" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="391003268" size="30720" />
+		<layer id="610" name="Constant_36929" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="385421448" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10454,7 +8974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="745" name="__module.model.gpt_neox.layers.3.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="611" name="__module.model.gpt_neox.layers.3.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10469,14 +8989,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="769,qkv.13">
+				<port id="2" precision="FP32" names="727,qkv.13">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="746" name="__module.model.gpt_neox.layers.3.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="612" name="__module.model.gpt_neox.layers.3.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -10484,7 +9004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="747" name="__module.model.gpt_neox.layers.3.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="613" name="__module.model.gpt_neox.layers.3.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10497,7 +9017,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="773,qkv.15">
+				<port id="2" precision="FP32" names="731,qkv.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -10505,32 +9025,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="748" name="Constant_295436" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="614" name="Constant_2605" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="749" name="Constant_295439" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="615" name="Constant_2607" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="750" name="Constant_295442" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="616" name="Constant_2609" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="751" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="617" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10539,17 +9058,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="774">
+				<port id="5" precision="FP32" names="732">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -10557,15 +9079,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="752" name="Constant_1965" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="618" name="Constant_2618" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="775">
+				<port id="0" precision="I64" names="733">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="753" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="619" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10578,7 +9100,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="776,query.19">
+				<port id="2" precision="FP32" names="734,query.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -10586,32 +9108,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="754" name="Constant_295448" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="620" name="Constant_2659" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="755" name="Constant_295451" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="621" name="Constant_2661" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="756" name="Constant_295454" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="622" name="Constant_2663" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="757" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="623" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10620,17 +9141,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="783,q.7">
+				<port id="5" precision="FP32" names="741,q.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -10638,129 +9162,257 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="758" name="self.model.gpt_neox.layers.3.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.3.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="624" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="759" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="747">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="760" name="Constant_295460" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="625" name="Constant_2817" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="761" name="Constant_295463" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="626" name="Constant_2819" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="762" name="Constant_295466" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="627" name="Constant_2821" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="763" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="628" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="777">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="757,x2.13">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="764" name="ShapeOf_338182" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="629" name="Constant_36930" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="758">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="765" name="Constant_340979" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="631" name="Constant_2714" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="766" name="Constant_338184" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="632" name="Constant_2758" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="767" name="Gather_338185" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="633" name="Constant_2760" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="634" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_3" type="Slice" version="opset8">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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+				<port id="5" precision="FP32" names="752">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
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+		</layer>
+		<layer id="635" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
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+				<port id="0" precision="FP32">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="760">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
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+		</layer>
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+			<data auto_broadcast="numpy" />
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 					<dim>1</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
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+		<layer id="637" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="768" name="Constant_432716" type="Const" version="opset1">
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 			<data element_type="f32" shape="" offset="0" size="4" />
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 				<port id="0" precision="FP32" />
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 		</layer>
-		<layer id="769" name="Constant_432709" type="Const" version="opset1">
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 				<port id="0" precision="I64">
@@ -10768,7 +9420,7 @@
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 			</output>
 		</layer>
-		<layer id="770" name="Constant_432711" type="Const" version="opset1">
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 				<port id="0" precision="I64">
@@ -10776,7 +9428,7 @@
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 			</output>
 		</layer>
-		<layer id="771" name="Constant_432713" type="Const" version="opset1">
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 			<output>
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@@ -10784,7 +9436,7 @@
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 			</output>
 		</layer>
-		<layer id="772" name="Concat_432714" type="Concat" version="opset1">
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 			<input>
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@@ -10806,7 +9458,7 @@
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 			</output>
 		</layer>
-		<layer id="773" name="Broadcast_432717" type="Broadcast" version="opset3">
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@@ -10823,7 +9475,7 @@
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 			</output>
 		</layer>
-		<layer id="774" name="ReadValue_417374" type="ReadValue" version="opset6">
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 			<input>
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@@ -10842,13 +9494,13 @@
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 			</output>
 		</layer>
-		<layer id="775" name="Constant_401908" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="776" name="Gather_401909" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10871,163 +9523,144 @@
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-		<layer id="779" name="Constant_338189" type="Const" version="opset1">
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+		<layer id="648" name="Constant_2625" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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 			<input>
-				<port id="0" precision="I64" />
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+					<dim>-1</dim>
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-			<input>
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+					<dim>-1</dim>
+					<dim>32</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="651" name="Constant_2636" type="Const" version="opset1">
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 			<output>
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 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 			<input>
 				<port id="0" precision="FP32">
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-				<port id="3" precision="I64">
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 		</layer>
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 			<output>
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-					<dim>-1</dim>
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-				<port id="2" precision="I32" />
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+			</output>
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-					<dim>80</dim>
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 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
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 					<dim>80</dim>
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+				<port id="4" precision="I64">
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 			<output>
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 			</output>
 		</layer>
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+		<layer id="657" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -11044,7 +9677,7 @@
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11052,144 +9685,31 @@
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
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+		<layer id="661" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -11198,17 +9718,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11216,8 +9739,8 @@
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11227,7 +9750,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -11244,7 +9767,7 @@
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11252,24 +9775,31 @@
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+		<layer id="664" name="Constant_2857" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="807" name="Constant_295528" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="665" name="Constant_2901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="808" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="666" name="Constant_2903" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="667" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11278,17 +9808,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="812">
+				<port id="5" precision="FP32" names="768">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11296,7 +9829,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="809" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="668" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11313,7 +9846,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="820">
+				<port id="2" precision="FP32" names="776">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11321,143 +9854,162 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="810" name="self.model.gpt_neox.layers.3.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.3.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="811" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="812" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="813" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="669" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="797,800,sin.13">
+				<port id="2" precision="FP32" names="777">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="814" name="Constant_38248" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="815" name="__module.model.gpt_neox.layers.3.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="670" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="805">
+				<port id="2" precision="FP32" names="778,782">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="816" name="__module.model.gpt_neox.layers.3.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="671" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="806,sin.15">
+				<port id="2" precision="FP32" names="present.3.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="817" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="672" name="Constant_52186" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="673" name="Constant_52179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="674" name="Constant_52181" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="Constant_52183" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="676" name="Concat_52184" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="821">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="818" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="677" name="Broadcast_52187" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="678" name="ReadValue_49828" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.3.valuepresent.3.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="822,840,850,query.21,query.23">
+				<port id="1" precision="FP32" names="past_key_values.3.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11465,28 +10017,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="819" name="Constant_1979" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="679" name="Constant_47350" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="778">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="820" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="680" name="Gather_47351" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="779,key.19">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11494,51 +10046,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="821" name="Constant_295574" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="681" name="Constant_2641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="822" name="Constant_295577" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="682" name="Constant_2643" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="823" name="Constant_295580" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="683" name="Constant_2645" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="824" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="684" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="738">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="685" name="Constant_2654" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="739">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="686" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="785,k.7">
+				<port id="2" precision="FP32" names="740">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11546,8 +10129,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="825" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="687" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11557,13 +10140,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="823">
+				<port id="2" precision="FP32" names="present.3.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11571,23 +10154,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="826" name="Constant_295584" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="827" name="Constant_295583" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="688" name="Constant_3036" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="828" name="__module.model.gpt_neox.layers.3.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
+		<layer id="689" name="ShapeOf_38418" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11603,261 +10178,168 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="829" name="__module.model.gpt_neox.layers.3.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="690" name="Constant_38419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="830" name="__module.model.gpt_neox.layers.3.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="824,829" />
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+		<layer id="700" name="__module.model.gpt_neox.layers.3.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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@@ -11865,8 +10347,15 @@
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+		<layer id="701" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Constant" type="Const" version="opset1">
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+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="702" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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@@ -11874,23153 +10363,1035 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="793">
 					<dim>-1</dim>
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 		</layer>
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+		<layer id="703" name="Constant_40538" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="704" name="__module.model.gpt_neox.layers.3.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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 					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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 			</input>
 			<output>
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 		</layer>
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@@ -35031,53 +11402,73 @@
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 					<dim>1</dim>
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+				<port id="4" precision="I64">
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 		</layer>
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-			<data causal="false" />
+		<layer id="774" name="Constant_3289" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="775" name="Constant_3291" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="776" name="Constant_3293" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="777" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_1" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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@@ -35085,27 +11476,46 @@
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 					<dim>80</dim>
 				</port>
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 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="778" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply" type="Multiply" version="opset1">
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 					<dim>80</dim>
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@@ -35113,1016 +11523,890 @@
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 			</output>
 		</layer>
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+		<layer id="779" name="Constant_3447" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="780" name="Constant_3449" type="Const" version="opset1">
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2513" name="__module.model.gpt_neox.layers.10.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="781" name="Constant_3451" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="782" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>32</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 			</input>
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+				<port id="5" precision="FP32" names="869,x2.17">
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+		<layer id="783" name="Constant_36938" type="Const" version="opset1">
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-					<dim>2560</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data destination_type="f16" />
+		<layer id="784" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply" type="Multiply" version="opset1">
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-					<dim>2560</dim>
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 		</layer>
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@@ -36131,17 +12415,20 @@
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@@ -36149,15 +12436,15 @@
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@@ -36170,7 +12457,7 @@
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-				<port id="2" precision="FP32" names="1968,query.67">
+				<port id="2" precision="FP32" names="852">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -36178,32 +12465,41 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2582" name="Constant_298256" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="841" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2583" name="Constant_298259" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="present.4.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2584" name="Constant_298262" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="842" name="Constant_3666" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2585" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="843" name="ShapeOf_38491" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -36211,1096 +12507,1383 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="844" name="Constant_38492" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
+			</output>
+		</layer>
+		<layer id="845" name="Constant_38493" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="846" name="Gather_38494" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1975,q.23">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="847" name="ShapeOf_38495" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2586" name="self.model.gpt_neox.layers.11.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.11.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2587" name="__module.model.gpt_neox.layers.11.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="848" name="Constant_38496" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2588" name="Constant_298268" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="849" name="Constant_38497" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="850" name="Gather_38498" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
+		<layer id="851" name="Add_38499" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="899">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2590" name="Constant_298274" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="852" name="Constant_3669" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="853" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>1</dim>
 					<dim>-1</dim>
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-					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="903">
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="854" name="__module.model.gpt_neox.layers.4.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="I64">
+				<port id="4" precision="FP32" names="904,attn_output.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="855" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Constant" type="Const" version="opset1">
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 			</output>
 		</layer>
-		<layer id="2593" name="Constant_341003" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="856" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="905">
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+					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="2594" name="Constant_338912" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="857" name="Constant_40539" type="Const" version="opset1">
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 			<output>
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+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
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+		<layer id="860" name="Convert_74395" type="Convert" version="opset1">
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 			<output>
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+				<port id="0" precision="U8">
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 		</layer>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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+		<layer id="933" name="Constant_4077" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="934" name="Constant_4079" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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+		<layer id="935" name="Constant_4081" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="936" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37309,17 +13892,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37327,8 +13913,8 @@
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 		</layer>
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+		<layer id="937" name="Constant_36946" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -37338,7 +13924,7 @@
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 			</output>
 		</layer>
-		<layer id="2669" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="938" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37355,7 +13941,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="982">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37363,24 +13949,31 @@
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="939" name="Constant_3974" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="940" name="Constant_4018" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="941" name="Constant_4020" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="942" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37389,17 +13982,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="976">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37407,7 +14003,7 @@
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 			</output>
 		</layer>
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+		<layer id="943" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37424,7 +14020,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2028">
+				<port id="2" precision="FP32" names="984">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37432,7 +14028,7 @@
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 			</output>
 		</layer>
-		<layer id="2674" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="944" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37449,7 +14045,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2029">
+				<port id="2" precision="FP32" names="985">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37457,7 +14053,7 @@
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 			</output>
 		</layer>
-		<layer id="2675" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="945" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37474,32 +14070,7 @@
 				</port>
 			</input>
 			<output>
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-				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-			<output>
-				<port id="2" precision="FP32" names="present.11.key">
+				<port id="2" precision="FP32" names="1004,986">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37507,13 +14078,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2677" name="Constant_432937" type="Const" version="opset1">
+		<layer id="946" name="Constant_52222" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2678" name="Constant_432930" type="Const" version="opset1">
+		<layer id="947" name="Constant_52215" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -37521,7 +14092,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2679" name="Constant_432932" type="Const" version="opset1">
+		<layer id="948" name="Constant_52217" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -37529,7 +14100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2680" name="Constant_432934" type="Const" version="opset1">
+		<layer id="949" name="Constant_52219" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -37537,7 +14108,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2681" name="Concat_432935" type="Concat" version="opset1">
+		<layer id="950" name="Concat_52220" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -37559,7 +14130,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2682" name="Broadcast_432938" type="Broadcast" version="opset3">
+		<layer id="951" name="Broadcast_52223" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -37576,8 +14147,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2683" name="ReadValue_417296" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.11.valuepresent.11.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="952" name="ReadValue_49842" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.keypresent.5.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37587,7 +14158,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.11.value">
+				<port id="1" precision="FP32" names="past_key_values.5.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37595,13 +14166,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2684" name="Constant_401959" type="Const" version="opset1">
+		<layer id="953" name="Constant_47359" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2685" name="Gather_401960" type="Gather" version="opset8">
+		<layer id="954" name="Gather_47360" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -37624,32 +14195,31 @@
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 			</output>
 		</layer>
-		<layer id="2686" name="Constant_298494" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="955" name="Constant_3883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2687" name="Constant_298497" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="956" name="Constant_3885" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2688" name="Constant_298500" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="957" name="Constant_3887" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2689" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="958" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37658,17 +14228,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="959">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -37676,15 +14249,15 @@
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 			</output>
 		</layer>
-		<layer id="2690" name="Constant_6641" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="959" name="Constant_3896" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1973">
+				<port id="0" precision="I64" names="960">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2691" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="960" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37697,32 +14270,7 @@
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 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		<layer id="2692" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.11.value">
+				<port id="2" precision="FP32" names="961,key.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -37730,86 +14278,31 @@
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 			</output>
 		</layer>
-		<layer id="2693" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-		<layer id="2694" name="Constant_298504" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="961" name="Constant_3939" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="962" name="Constant_3941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-		</layer>
-		<layer id="2698" name="Constant_338922" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="963" name="Constant_3943" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
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-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
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-		<layer id="2700" name="Add_338924" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
-		<layer id="2701" name="ShapeOf_338991" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="964" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -37817,222 +14310,84 @@
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 					<dim>80</dim>
 				</port>
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-		<layer id="2703" name="Constant_338993" type="Const" version="opset1">
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 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
 					<dim>1</dim>
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 				<port id="4" precision="I64">
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-			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
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 					<dim>-1</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2717" name="Constant_298584" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="966" name="Constant_4220" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2718" name="Constant_298580" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="967" name="Constant_4222" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2719" name="Constant_298579" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="968" name="Constant_4224" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2720" name="ScatterUpdate_298585" type="ScatterUpdate" version="opset3">
+		<layer id="969" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -38040,186 +14395,89 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-			</output>
-		</layer>
-		<layer id="2721" name="Constant_298588" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2722" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
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 					<dim>1</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="997,x2.23">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2723" name="__module.model.gpt_neox.layers.11.attention/aten::where/Convert_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2724" name="__module.model.gpt_neox.layers.11.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
+		<layer id="970" name="Constant_36947" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="2041" />
-			</output>
-		</layer>
-		<layer id="2725" name="__module.model.gpt_neox.layers.11.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>-1</dim>
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-				<port id="2" precision="FP32" />
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 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2726" name="Add_315780" type="Add" version="opset1">
+		<layer id="971" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>-1</dim>
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-			</output>
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-			</output>
-		</layer>
-		<layer id="2728" name="Constant_338997" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="2729" name="Constant_338998" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2730" name="Gather_338999" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="2039">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="998">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2731" name="Constant_268071" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="972" name="Constant_4117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2732" name="Constant_268073" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="973" name="Constant_4161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2733" name="Constant_268075" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="974" name="Constant_4163" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2734" name="__module.model.gpt_neox.layers.11.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="975" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -38230,53 +14488,46 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="2056">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2735" name="Maximum_315782" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="992">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2736" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="976" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2058">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1000">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2737" name="__module.model.gpt_neox.layers.11.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="977" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -38285,26 +14536,14 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2059,2060,sdpa_result.23,tensor.45">
+				<port id="2" precision="FP32" names="1001">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -38312,15 +14551,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2738" name="Constant_7082" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2061">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2739" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="978" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -38328,531 +14560,549 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2062">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="1002,1006">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2740" name="__module.model.gpt_neox.layers.11.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2741" name="__module.model.gpt_neox.layers.11.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="979" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2067">
+				<port id="2" precision="FP32" names="present.5.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2742" name="self.model.gpt_neox.layers.11.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1021797508" size="6553600" />
+		<layer id="980" name="Constant_52234" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2743" name="Convert_449350" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="981" name="Constant_52227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2744" name="self.model.gpt_neox.layers.11.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1028351108" size="2560" />
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="5" precision="FP32" names="1015">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1008" name="__module.model.gpt_neox.layers.5.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="4" precision="FP32" names="1016,attn_output.41">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2769" name="Constant_325309" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1054634628" size="40960" />
+		<layer id="1009" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2770" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1010" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2085">
+				<port id="2" precision="FP32" names="1017">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2771" name="__module.model.gpt_neox.layers.11.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="1011" name="Constant_40540" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1012" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2086">
+				<port id="2" precision="FP32" names="1020">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2772" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1054675588" size="26214400" />
+		<layer id="1013" name="self.model.gpt_neox.layers.5.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="543091848" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2773" name="Convert_449372" type="Convert" version="opset1">
+		<layer id="1014" name="Convert_74406" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2774" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1080889988" size="2560" />
+		<layer id="1015" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="549645448" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -38860,7 +15110,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2775" name="Convert_449375" type="Convert" version="opset1">
+		<layer id="1016" name="Convert_74409" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -38875,12 +15125,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2776" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1017" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -38890,12 +15140,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
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 		</layer>
-		<layer id="2777" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1080892548" size="5120" />
+		<layer id="1018" name="self.model.gpt_neox.layers.5.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="549648008" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -38903,12 +15153,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2778" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1019" name="self.model.gpt_neox.layers.5.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -38918,36 +15168,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2779" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1020" name="self.model.gpt_neox.layers.5.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2780" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1021" name="__module.model.gpt_neox.layers.5.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -38958,8 +15208,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2781" name="Constant_325310" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1080897668" size="10240" />
+		<layer id="1022" name="Constant_36948" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="549653128" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -38968,7 +15218,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2782" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1023" name="__module.model.gpt_neox.layers.5.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -38983,14 +15233,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2089,input.49">
+				<port id="2" precision="FP32" names="1023,1025,input.21">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2783" name="__module.model.gpt_neox.layers.11/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1024" name="__module.model.gpt_neox.layers.5/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39005,14 +15255,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2091,2093,hidden_states.25">
+				<port id="2" precision="FP32" names="1029,attn_output.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2784" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1025" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -39020,7 +15270,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2785" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1026" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39040,8 +15290,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2786" name="Constant_325311" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1080907908" size="10240" />
+		<layer id="1027" name="Constant_36949" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="549663368" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39050,7 +15300,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2787" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1028" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39072,8 +15322,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2788" name="Constant_325312" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1080918148" size="10240" />
+		<layer id="1029" name="Constant_36950" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="549673608" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -39082,7 +15332,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2789" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1030" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -39097,124 +15347,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2103">
+				<port id="2" precision="FP32" names="1033">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2790" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1080928388" size="19660800" />
+		<layer id="1031" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="549683848" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2791" name="Convert_449383" type="Convert" version="opset1">
+		<layer id="1032" name="Convert_73459" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2792" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1100589188" size="7680" />
+		<layer id="1033" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="575898248" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2793" name="Convert_449386" type="Convert" version="opset1">
+		<layer id="1034" name="Convert_73462" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2794" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1035" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2795" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1100596868" size="15360" />
+		<layer id="1036" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="575908488" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
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 		</layer>
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 			<data destination_type="f32" />
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@@ -39223,7 +15476,7 @@
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@@ -39231,1240 +15484,669 @@
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2888" name="Constant_337708" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1082" name="Constant_4549" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2889" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1083" name="Constant_4551" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2890" name="Constant_298741" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1084" name="Constant_4553" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2891" name="ScatterUpdate_298744" type="ScatterUpdate" version="opset3">
+		<layer id="1085" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -40472,34 +16154,72 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1077,q.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1086" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1083">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2892" name="Constant_298747" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1087" name="Constant_4707" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2893" name="Constant_298750" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1088" name="Constant_4709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1089" name="Constant_4711" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2894" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1090" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40508,17 +16228,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2174,x2.51">
+				<port id="5" precision="FP32" names="1093,x2.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40526,8 +16249,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2895" name="Constant_325315" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="1091" name="Constant_36954" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -40537,7 +16260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2896" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1092" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40554,7 +16277,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2175">
+				<port id="2" precision="FP32" names="1094">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40562,24 +16285,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2897" name="Constant_298795" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1093" name="Constant_4604" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2898" name="Constant_298800" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1094" name="Constant_4648" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1095" name="Constant_4650" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2899" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1096" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40588,17 +16318,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2169">
+				<port id="5" precision="FP32" names="1088">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40606,7 +16339,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2900" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1097" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40623,7 +16356,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2177">
+				<port id="2" precision="FP32" names="1096">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40631,7 +16364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2901" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1098" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40648,7 +16381,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2178">
+				<port id="2" precision="FP32" names="1097">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40656,7 +16389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2902" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1099" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40673,32 +16406,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2179,2183">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2903" name="__module.model.gpt_neox.layers.12.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.12.key">
+				<port id="2" precision="FP32" names="1098,1116">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40706,13 +16414,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2904" name="Constant_432963" type="Const" version="opset1">
+		<layer id="1100" name="Constant_52246" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2905" name="Constant_432956" type="Const" version="opset1">
+		<layer id="1101" name="Constant_52239" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -40720,7 +16428,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2906" name="Constant_432958" type="Const" version="opset1">
+		<layer id="1102" name="Constant_52241" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -40728,7 +16436,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2907" name="Constant_432960" type="Const" version="opset1">
+		<layer id="1103" name="Constant_52243" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -40736,7 +16444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2908" name="Concat_432961" type="Concat" version="opset1">
+		<layer id="1104" name="Concat_52244" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -40758,7 +16466,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2909" name="Broadcast_432964" type="Broadcast" version="opset3">
+		<layer id="1105" name="Broadcast_52247" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -40775,8 +16483,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2910" name="ReadValue_417300" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.12.valuepresent.12.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1106" name="ReadValue_49846" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.6.keypresent.6.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40786,7 +16494,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.12.value">
+				<port id="1" precision="FP32" names="past_key_values.6.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40794,13 +16502,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2911" name="Constant_401965" type="Const" version="opset1">
+		<layer id="1107" name="Constant_47365" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2912" name="Gather_401966" type="Gather" version="opset8">
+		<layer id="1108" name="Gather_47366" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -40823,32 +16531,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2913" name="Constant_298845" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1109" name="Constant_4513" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2914" name="Constant_298848" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1110" name="Constant_4515" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2915" name="Constant_298851" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1111" name="Constant_4517" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2916" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1112" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40857,17 +16564,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2121">
+				<port id="5" precision="FP32" names="1071">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -40875,15 +16585,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2917" name="Constant_7222" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1113" name="Constant_4526" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2122">
+				<port id="0" precision="I64" names="1072">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2918" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1114" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -40896,32 +16606,7 @@
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 			</input>
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-					<dim>80</dim>
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-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.12.value">
+				<port id="2" precision="FP32" names="1073,key.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -40929,35 +16614,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="1115" name="Constant_4569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="2200">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2921" name="Constant_298855" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1116" name="Constant_4571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2922" name="Constant_298854" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1117" name="Constant_4573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2923" name="ShapeOf_339011" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1118" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -40965,50 +16646,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2924" name="Constant_339012" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2925" name="Constant_339013" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2926" name="Gather_339014" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1079,k.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2927" name="Add_339015" type="Add" version="opset1">
+		<layer id="1119" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2195" />
-			</output>
-		</layer>
-		<layer id="2928" name="ShapeOf_339082" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -41016,82 +16677,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="2929" name="Constant_339083" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2930" name="Constant_339084" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2931" name="Gather_339085" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2193" />
-			</output>
-		</layer>
-		<layer id="2932" name="__module.model.gpt_neox.layers.12.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2197,2198" />
+				<port id="2" precision="FP32" names="1099">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2933" name="Constant_337710" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1120" name="Constant_4850" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1121" name="Constant_4852" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2935" name="Constant_298853" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1122" name="Constant_4854" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2936" name="ScatterUpdate_298856" type="ScatterUpdate" version="opset3">
+		<layer id="1123" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -41099,139 +16731,89 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2937" name="Constant_298857" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1109,x2.27">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2938" name="Constant_337712" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1124" name="Constant_36955" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="2939" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2940" name="ScatterUpdate_298858" type="ScatterUpdate" version="opset3">
+		<layer id="1125" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
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-			</input>
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-				</port>
-			</output>
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
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 					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2201">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1110">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="2943" name="Constant_298934" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2944" name="Constant_298935" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1126" name="Constant_4747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2945" name="Constant_298931" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1127" name="Constant_4791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2946" name="Constant_298930" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1128" name="Constant_4793" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2947" name="ScatterUpdate_298936" type="ScatterUpdate" version="opset3">
+		<layer id="1129" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -41239,182 +16821,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2948" name="Constant_298939" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1104">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1130" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2202,2203">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1112">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2950" name="__module.model.gpt_neox.layers.12.attention/aten::where/Convert_1" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="2951" name="__module.model.gpt_neox.layers.12.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="2190" />
-			</output>
-		</layer>
-		<layer id="2952" name="__module.model.gpt_neox.layers.12.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="1131" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2204,causal_mask.49">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1113">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2953" name="Add_315852" type="Add" version="opset1">
+		<layer id="1132" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1114,1118">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2954" name="ShapeOf_315853" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1133" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="present.6.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
-		<layer id="2956" name="Constant_339089" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="2957" name="Gather_339090" type="Gather" version="opset8">
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-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="1134" name="Constant_52258" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="2188">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2958" name="Constant_268081" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1135" name="Constant_52251" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2959" name="Constant_268083" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1136" name="Constant_52253" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2960" name="Constant_268085" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1137" name="Constant_52255" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2961" name="__module.model.gpt_neox.layers.12.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1138" name="Concat_52256" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -41431,42 +16984,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2205">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2962" name="Maximum_315854" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1139" name="Broadcast_52259" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1140" name="ReadValue_49848" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.6.valuepresent.6.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.6.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1141" name="Constant_47368" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1142" name="Gather_47369" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1143" name="Constant_4531" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1144" name="Constant_4533" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1145" name="Constant_4535" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1146" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1074">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1147" name="Constant_4544" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1075">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="1148" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1076">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2963" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1149" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.6.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1150" name="Constant_4926" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1151" name="ShapeOf_38637" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="1152" name="Constant_38638" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1153" name="Constant_38639" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1154" name="Gather_38640" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2207">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1155" name="ShapeOf_38641" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1156" name="Constant_38642" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1157" name="Constant_38643" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1158" name="Gather_38644" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1159" name="Add_38645" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1123">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1160" name="Constant_4929" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1161" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1127">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -41474,7 +17318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2964" name="__module.model.gpt_neox.layers.12.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1162" name="__module.model.gpt_neox.layers.6.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41503,7 +17347,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2208,2209,sdpa_result.25,tensor.49">
+				<port id="4" precision="FP32" names="1128,attn_output.49">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -41511,15 +17355,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2965" name="Constant_7663" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1163" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" names="2210">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2966" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1164" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -41527,12 +17371,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2211">
+				<port id="2" precision="FP32" names="1129">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -41540,15 +17384,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2967" name="__module.model.gpt_neox.layers.12.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="1165" name="Constant_40541" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2968" name="__module.model.gpt_neox.layers.12.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1166" name="__module.model.gpt_neox.layers.6.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41562,15 +17406,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2216">
+				<port id="2" precision="FP32" names="1132">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2969" name="self.model.gpt_neox.layers.12.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1100642948" size="6553600" />
+		<layer id="1167" name="self.model.gpt_neox.layers.6.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="621911688" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -41578,7 +17422,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2970" name="Convert_449394" type="Convert" version="opset1">
+		<layer id="1168" name="Convert_74417" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -41593,8 +17437,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2971" name="self.model.gpt_neox.layers.12.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1107196548" size="2560" />
+		<layer id="1169" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="628465288" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -41602,7 +17446,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2972" name="Convert_449397" type="Convert" version="opset1">
+		<layer id="1170" name="Convert_74420" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -41617,7 +17461,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2973" name="self.model.gpt_neox.layers.12.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1171" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41636,8 +17480,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2974" name="self.model.gpt_neox.layers.12.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1107199108" size="5120" />
+		<layer id="1172" name="self.model.gpt_neox.layers.6.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="628467848" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -41645,7 +17489,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2975" name="self.model.gpt_neox.layers.12.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1173" name="self.model.gpt_neox.layers.6.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41664,7 +17508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2976" name="self.model.gpt_neox.layers.12.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1174" name="self.model.gpt_neox.layers.6.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41679,7 +17523,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2977" name="__module.model.gpt_neox.layers.12.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1175" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41700,8 +17544,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2978" name="Constant_325316" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1107204228" size="10240" />
+		<layer id="1176" name="Constant_36956" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="628472968" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41710,7 +17554,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2979" name="__module.model.gpt_neox.layers.12.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1177" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41725,14 +17569,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2219,2221,input.51">
+				<port id="2" precision="FP32" names="1135,1137,input.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2980" name="__module.model.gpt_neox.layers.12/aten::add/Add" type="Add" version="opset1">
+		<layer id="1178" name="__module.model.gpt_neox.layers.6/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41747,14 +17591,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2225,attn_output.51">
+				<port id="2" precision="FP32" names="1141,attn_output.55">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2981" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1179" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -41762,7 +17606,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2982" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1180" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41782,8 +17626,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2983" name="Constant_325317" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1107214468" size="10240" />
+		<layer id="1181" name="Constant_36957" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="628483208" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41792,7 +17636,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2984" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1182" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41814,8 +17658,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2985" name="Constant_325318" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1107224708" size="10240" />
+		<layer id="1183" name="Constant_36958" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="628493448" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -41824,7 +17668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2986" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1184" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41839,15 +17683,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2229">
+				<port id="2" precision="FP32" names="1145">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2987" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1107234948" size="26214400" />
+		<layer id="1185" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="628503688" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -41855,7 +17699,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2988" name="Convert_449405" type="Convert" version="opset1">
+		<layer id="1186" name="Convert_73479" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -41870,8 +17714,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2989" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1133449348" size="10240" />
+		<layer id="1187" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="654718088" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -41879,7 +17723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2990" name="Convert_449408" type="Convert" version="opset1">
+		<layer id="1188" name="Convert_73482" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -41894,7 +17738,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2991" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1189" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41913,8 +17757,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2992" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1133459588" size="20480" />
+		<layer id="1190" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="654728328" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -41922,7 +17766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2993" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1191" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -41941,8 +17785,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2994" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1192" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -41956,7 +17803,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2995" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1193" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41977,17 +17824,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2996" name="Constant_325319" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1133480068" size="40960" />
+		<layer id="1194" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="654748808" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1195" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2997" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1196" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -41996,20 +17857,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2234">
+				<port id="2" precision="FP32" names="1150">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2998" name="__module.model.gpt_neox.layers.12.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1197" name="__module.model.gpt_neox.layers.6.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42019,15 +17878,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2235">
+				<port id="1" precision="FP32" names="1151">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2999" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1133521028" size="26214400" />
+		<layer id="1198" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="654769288" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -42035,7 +17894,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3000" name="Convert_449416" type="Convert" version="opset1">
+		<layer id="1199" name="Convert_73489" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42050,8 +17909,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3001" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1159735428" size="2560" />
+		<layer id="1200" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="680983688" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -42059,7 +17918,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3002" name="Convert_449419" type="Convert" version="opset1">
+		<layer id="1201" name="Convert_73492" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42074,7 +17933,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3003" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1202" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42093,8 +17952,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3004" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1159737988" size="5120" />
+		<layer id="1203" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="680986248" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -42102,7 +17961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3005" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1204" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42121,8 +17980,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3006" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1205" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -42136,7 +17998,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3007" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1206" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42157,17 +18019,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3008" name="Constant_325320" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1159743108" size="10240" />
+		<layer id="1207" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="680991368" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3009" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1208" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1209" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42176,20 +18052,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2238,input.53">
+				<port id="2" precision="FP32" names="1154,input.27">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3010" name="__module.model.gpt_neox.layers.12/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1210" name="__module.model.gpt_neox.layers.6/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42204,14 +18078,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2240,2242,hidden_states.27">
+				<port id="2" precision="FP32" names="1156,1158,hidden_states.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3011" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1211" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -42219,7 +18093,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3012" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1212" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42239,8 +18113,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3013" name="Constant_325321" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1159753348" size="10240" />
+		<layer id="1213" name="Constant_36959" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="680996488" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42249,7 +18123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3014" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1214" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42271,8 +18145,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3015" name="Constant_325322" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1159763588" size="10240" />
+		<layer id="1215" name="Constant_36960" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="681006728" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42281,7 +18155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3016" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1216" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42296,15 +18170,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2252">
+				<port id="2" precision="FP32" names="1168,hidden_states.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3017" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1159773828" size="19660800" />
+		<layer id="1217" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="681016968" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -42312,7 +18186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3018" name="Convert_449427" type="Convert" version="opset1">
+		<layer id="1218" name="Convert_74076" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42327,8 +18201,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3019" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1179434628" size="7680" />
+		<layer id="1219" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="700677768" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -42336,7 +18210,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3020" name="Convert_449430" type="Convert" version="opset1">
+		<layer id="1220" name="Convert_74079" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -42351,7 +18225,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3021" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1221" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42370,8 +18244,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3022" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1179442308" size="15360" />
+		<layer id="1222" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="700685448" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -42379,7 +18253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3023" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1223" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42398,7 +18272,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3024" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1224" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -42413,7 +18287,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3025" name="__module.model.gpt_neox.layers.13.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1225" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42434,8 +18308,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3026" name="Constant_325323" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1179457668" size="30720" />
+		<layer id="1226" name="Constant_36961" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="700700808" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -42444,7 +18318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3027" name="__module.model.gpt_neox.layers.13.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1227" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42459,14 +18333,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2259,qkv.53">
+				<port id="2" precision="FP32" names="1175,qkv.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3028" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1228" name="__module.model.gpt_neox.layers.7.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -42474,7 +18348,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3029" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1229" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42487,7 +18361,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2263,qkv.55">
+				<port id="2" precision="FP32" names="1179,qkv.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -42495,32 +18369,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3030" name="Constant_298946" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1230" name="Constant_5125" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3031" name="Constant_298949" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1231" name="Constant_5127" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3032" name="Constant_298952" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1232" name="Constant_5129" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3033" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1233" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42529,17 +18402,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2264">
+				<port id="5" precision="FP32" names="1180">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -42547,15 +18423,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3034" name="Constant_7775" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1234" name="Constant_5138" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2265">
+				<port id="0" precision="I64" names="1181">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3035" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1235" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42568,7 +18444,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2266,query.79">
+				<port id="2" precision="FP32" names="1182,query.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42576,32 +18452,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3036" name="Constant_298958" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1236" name="Constant_5179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3037" name="Constant_298961" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1237" name="Constant_5181" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3038" name="Constant_298964" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1238" name="Constant_5183" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3039" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1239" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42610,17 +18485,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2273,q.27">
+				<port id="5" precision="FP32" names="1189,q.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42628,157 +18506,152 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3040" name="self.model.gpt_neox.layers.13.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.13.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="1240" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3041" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1195">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3042" name="Constant_298970" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1241" name="Constant_5337" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3043" name="Constant_298973" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1242" name="Constant_5339" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3044" name="Constant_298976" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1243" name="Constant_5341" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3045" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1244" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2267">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1205,x2.29">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3046" name="ShapeOf_339092" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3047" name="Constant_341009" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1245" name="Constant_36962" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3048" name="Constant_339094" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3049" name="Gather_339095" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1246" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2277">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1206">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3050" name="Constant_432976" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3051" name="Constant_432969" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="1247" name="Constant_5234" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3052" name="Constant_432971" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1248" name="Constant_5278" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3053" name="Constant_432973" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="1249" name="Constant_5280" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3054" name="Concat_432974" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1250" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -42789,42 +18662,37 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3055" name="Broadcast_432977" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="1200">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3056" name="ReadValue_417302" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.13.keypresent.13.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1251" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.13.key">
+				<port id="2" precision="FP32" names="1208">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42832,14 +18700,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3057" name="Constant_401968" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3058" name="Gather_401969" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1252" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42847,13 +18709,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1209">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42861,8 +18725,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3059" name="ShapeOf_339097" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1253" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42870,90 +18734,57 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1210,1228">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3060" name="Constant_339098" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3061" name="Constant_339099" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3062" name="Gather_339100" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="1254" name="Constant_52270" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="2279" />
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3063" name="Constant_337714" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1255" name="Constant_52263" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3064" name="Reshape_340931" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1256" name="Constant_52265" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3065" name="__module.model.gpt_neox.layers.13.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2278,2282,2283,seq_len.53">
-					<dim>1</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3066" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1257" name="Constant_52267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3067" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1258" name="Concat_52268" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -42966,75 +18797,40 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2286,2289,cos.53">
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="3068" name="Constant_38305" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3069" name="__module.model.gpt_neox.layers.13.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I32">
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-					<dim>-1</dim>
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-				<port id="2" precision="I32" />
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-			<output>
-				<port id="3" precision="FP32" names="2292">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3070" name="__module.model.gpt_neox.layers.13.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1259" name="Broadcast_52271" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2293,cos.55">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3071" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1260" name="ReadValue_49850" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.keypresent.7.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2297">
+				<port id="1" precision="FP32" names="past_key_values.7.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43042,24 +18838,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3072" name="Constant_298981" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3073" name="Constant_298980" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1261" name="Constant_47371" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3074" name="__module.model.gpt_neox.layers.13.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1262" name="Gather_47372" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43067,84 +18853,51 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3075" name="__module.model.gpt_neox.layers.13.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3076" name="__module.model.gpt_neox.layers.13.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2298,2303" />
-			</output>
-		</layer>
-		<layer id="3077" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
 				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3078" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="2300,2301,2305,2306" />
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3079" name="Constant_337716" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1263" name="Constant_5143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3080" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1264" name="Constant_5145" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3081" name="Constant_298979" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1265" name="Constant_5147" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3082" name="ScatterUpdate_298982" type="ScatterUpdate" version="opset3">
+		<layer id="1266" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -43152,114 +18905,155 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3083" name="Constant_298985" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1183">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3084" name="Constant_298988" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1267" name="Constant_5156" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="1184">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3085" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1268" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2307,x2.53">
+				<port id="2" precision="FP32" names="1185,key.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1269" name="Constant_5199" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3086" name="Constant_325324" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="1270" name="Constant_5201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1271" name="Constant_5203" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1272" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_6" type="Slice" version="opset8">
+			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1191,k.15">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3087" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1273" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2308">
+				<port id="2" precision="FP32" names="1211">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3088" name="Constant_299033" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1274" name="Constant_5480" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3089" name="Constant_299038" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1275" name="Constant_5482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1276" name="Constant_5484" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3090" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1277" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43268,17 +19062,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2302">
+				<port id="5" precision="FP32" names="1221,x2.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43286,8 +19083,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3091" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1278" name="Constant_36963" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1279" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43296,51 +19104,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2310">
+				<port id="2" precision="FP32" names="1222">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3092" name="self.model.gpt_neox.layers.13.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="1280" name="Constant_5377" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.13.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3093" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1281" name="Constant_5421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3094" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1282" name="Constant_5423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3095" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1283" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -43352,60 +19160,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2287,2290,sin.53">
+				<port id="5" precision="FP32" names="1216">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3096" name="Constant_38308" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3097" name="__module.model.gpt_neox.layers.13.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1284" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2295">
+				<port id="2" precision="FP32" names="1224">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3098" name="__module.model.gpt_neox.layers.13.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1285" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2296,sin.55">
+				<port id="2" precision="FP32" names="1225">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3099" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1286" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43416,13 +19234,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2311">
+				<port id="2" precision="FP32" names="1226,1230">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43430,8 +19248,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3100" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1287" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43447,7 +19265,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2312,2330,2340,query.81,query.83">
+				<port id="2" precision="FP32" names="present.7.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43455,28 +19273,116 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3101" name="Constant_7789" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1288" name="Constant_52282" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1289" name="Constant_52275" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1290" name="Constant_52277" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1291" name="Constant_52279" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1292" name="Concat_52280" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="2268">
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1293" name="Broadcast_52283" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3102" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1294" name="ReadValue_49852" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.valuepresent.7.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.7.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1295" name="Constant_47374" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1296" name="Gather_47375" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2269,key.79">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43484,51 +19390,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3103" name="Constant_299084" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1297" name="Constant_5161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3104" name="Constant_299087" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1298" name="Constant_5163" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3105" name="Constant_299090" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1299" name="Constant_5165" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3106" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1300" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1186">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1301" name="Constant_5174" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1187">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1302" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2275,k.27">
+				<port id="2" precision="FP32" names="1188">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43536,8 +19473,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3107" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1303" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43547,13 +19484,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2313">
+				<port id="2" precision="FP32" names="present.7.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43561,23 +19498,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3108" name="Constant_299094" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3109" name="Constant_299093" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1304" name="Constant_5556" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3110" name="__module.model.gpt_neox.layers.13.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
+		<layer id="1305" name="ShapeOf_38710" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -43593,261 +19522,168 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3111" name="__module.model.gpt_neox.layers.13.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1306" name="Constant_38711" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3112" name="__module.model.gpt_neox.layers.13.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2314,2319" />
 			</output>
 		</layer>
-		<layer id="3113" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="1307" name="Constant_38712" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3114" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
 				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2316,2317,2321,2322" />
 			</output>
 		</layer>
-		<layer id="3115" name="Constant_337718" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
+		<layer id="1308" name="Gather_38713" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3116" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3117" name="Constant_299092" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3118" name="ScatterUpdate_299095" type="ScatterUpdate" version="opset3">
+		<layer id="1309" name="ShapeOf_38714" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3119" name="Constant_299098" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1310" name="Constant_38715" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3120" name="Constant_299101" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1311" name="Constant_38716" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3121" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1312" name="Gather_38717" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2323,x2.55">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3122" name="Constant_325325" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
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+		<layer id="1316" name="__module.model.gpt_neox.layers.7.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 					<dim>32</dim>
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@@ -43855,8 +19691,15 @@
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 			</output>
 		</layer>
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+		<layer id="1317" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
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+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1318" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -43864,874 +19707,1051 @@
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 					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1241">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data axis="-2" />
+		<layer id="1319" name="Constant_40542" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
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+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1320" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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+				<port id="1" precision="I64">
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 		</layer>
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+		<layer id="1321" name="self.model.gpt_neox.layers.7.attention.dense.weight" type="Const" version="opset1">
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+					<dim>2560</dim>
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 		</layer>
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+		<layer id="1322" name="Convert_74428" type="Convert" version="opset1">
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+		<layer id="1324" name="Convert_74431" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="1384" name="Constant_5755" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="1385" name="Constant_5757" type="Const" version="opset1">
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+		</layer>
+		<layer id="1386" name="Constant_5759" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3193" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1387" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice" type="Slice" version="opset8">
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 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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@@ -44739,16 +20759,15 @@
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="1388" name="Constant_5768" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="I64" names="1293">
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="1389" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -44757,969 +20776,981 @@
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 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="1294,query.17">
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+					<dim>32</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 2560" offset="1179488388" size="6553600" />
+		<layer id="1390" name="Constant_5809" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="1391" name="Constant_5811" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="1186041988" size="2560" />
+		<layer id="1392" name="Constant_5813" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
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+				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="3199" name="Convert_449441" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="1393" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
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+				<port id="4" precision="I64">
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 			</input>
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-					<dim>1</dim>
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 		</layer>
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+		<layer id="1394" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply" type="Multiply" version="opset1">
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 			<output>
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-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="1307">
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-					<dim>2560</dim>
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@@ -45728,17 +21759,20 @@
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-				<port id="4" precision="FP32" names="2413">
+				<port id="5" precision="FP32" names="1298">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -45746,15 +21780,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3261" name="Constant_8356" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1455" name="Constant_5804" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2414">
+				<port id="0" precision="I64" names="1299">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3262" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1456" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45767,7 +21801,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2415,query.85">
+				<port id="2" precision="FP32" names="1300">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45775,32 +21809,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3263" name="Constant_299309" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3264" name="Constant_299312" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3265" name="Constant_299315" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3266" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1457" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45808,35 +21818,23 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="2422,q.29">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3267" name="self.model.gpt_neox.layers.14.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.14.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="present.8.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3268" name="__module.model.gpt_neox.layers.14.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="1458" name="Constant_6186" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -45844,65 +21842,60 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3269" name="Constant_299321" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1459" name="ShapeOf_38783" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3270" name="Constant_299324" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1460" name="Constant_38784" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3271" name="Constant_299327" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1461" name="Constant_38785" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3272" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1462" name="Gather_38786" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2416">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3273" name="ShapeOf_339183" type="ShapeOf" version="opset3">
+		<layer id="1463" name="ShapeOf_38787" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
@@ -45912,21 +21905,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3274" name="Constant_341012" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1464" name="Constant_38788" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3275" name="Constant_339185" type="Const" version="opset1">
+		<layer id="1465" name="Constant_38789" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3276" name="Gather_339186" type="Gather" version="opset8">
+		<layer id="1466" name="Gather_38790" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -45938,46 +21931,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2426">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3277" name="Constant_433002" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3278" name="Constant_432995" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
+		<layer id="1467" name="Add_38791" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3279" name="Constant_432997" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="1347">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3280" name="Constant_432999" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="1468" name="Constant_6189" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3281" name="Concat_433000" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1469" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -45988,42 +21977,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1351">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3282" name="Broadcast_433003" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1470" name="__module.model.gpt_neox.layers.8.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3283" name="ReadValue_417306" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.14.keypresent.14.key" variable_type="f32" variable_shape="?,32,?,80" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.14.key">
+				<port id="4" precision="FP32" names="1352,attn_output.65">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -46031,14 +22027,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3284" name="Constant_401974" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1471" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3285" name="Gather_401975" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1472" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46047,1031 +22044,1079 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1353">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3286" name="ShapeOf_339188" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1473" name="Constant_40543" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1474" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3287" name="Constant_339189" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1356">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3288" name="Constant_339190" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1475" name="self.model.gpt_neox.layers.8.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="779551368" size="6553600" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3289" name="Gather_339191" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1476" name="Convert_74439" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2428" />
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3290" name="Constant_337724" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1477" name="self.model.gpt_neox.layers.8.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="786104968" size="2560" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U8">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3291" name="Reshape_340933" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="1478" name="Convert_74442" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="U8">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3292" name="__module.model.gpt_neox.layers.14.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="1479" name="self.model.gpt_neox.layers.8.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2427,2431,2432,seq_len.57">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="1528" name="Convert_74101" type="Convert" version="opset1">
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+		<layer id="1529" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
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+					<dim>2560</dim>
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+		<layer id="1530" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/scale" type="Const" version="opset1">
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 			</output>
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+				<port id="2" precision="FP16">
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+					<dim>2560</dim>
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 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="1532" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
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-		<layer id="3347" name="Constant_299452" type="Const" version="opset1">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1533" name="__module.model.gpt_neox.layers.9.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
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+		<layer id="1534" name="Constant_36977" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1535" name="__module.model.gpt_neox.layers.9.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 			<output>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1536" name="__module.model.gpt_neox.layers.9.attention/prim::ListConstruct" type="Const" version="opset1">
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+		<layer id="1537" name="__module.model.gpt_neox.layers.9.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 			</input>
 			<output>
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+			<data element_type="i64" shape="1" offset="148992560" size="8" />
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+			</output>
+		</layer>
+		<layer id="1539" name="Constant_6423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
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+				<port id="0" precision="I64">
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+			</output>
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+		<layer id="1540" name="Constant_6425" type="Const" version="opset1">
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-					<dim>-1</dim>
-					<dim>80</dim>
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 		</layer>
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+		<layer id="1541" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1410">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1542" name="Constant_6434" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1411">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1543" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1412">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -47079,7 +23124,7 @@
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 			</output>
 		</layer>
-		<layer id="3357" name="__module.model.gpt_neox.layers.14.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1544" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47096,7 +23141,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.14.key">
+				<port id="2" precision="FP32" names="present.9.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -47104,13 +23149,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3358" name="Constant_433015" type="Const" version="opset1">
+		<layer id="1546" name="Constant_52318" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3359" name="Constant_433008" type="Const" version="opset1">
+		<layer id="1547" name="Constant_52311" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -47118,7 +23163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3360" name="Constant_433010" type="Const" version="opset1">
+		<layer id="1548" name="Constant_52313" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -47126,7 +23171,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3361" name="Constant_433012" type="Const" version="opset1">
+		<layer id="1549" name="Constant_52315" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -47134,7 +23179,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3362" name="Concat_433013" type="Concat" version="opset1">
+		<layer id="1550" name="Concat_52316" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -47156,7 +23201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3363" name="Broadcast_433016" type="Broadcast" version="opset3">
+		<layer id="1551" name="Broadcast_52319" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -47173,8 +23218,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3364" name="ReadValue_417308" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.14.valuepresent.14.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1552" name="ReadValue_49858" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.9.keypresent.9.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47184,7 +23229,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.14.value">
+				<port id="1" precision="FP32" names="past_key_values.9.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -47192,13 +23237,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3365" name="Constant_401977" type="Const" version="opset1">
+		<layer id="1553" name="Constant_47383" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3366" name="Gather_401978" type="Gather" version="opset8">
+		<layer id="1554" name="Gather_47384" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47221,32 +23266,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3367" name="Constant_299547" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1555" name="Constant_6403" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3368" name="Constant_299550" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1556" name="Constant_6405" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3369" name="Constant_299553" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1557" name="Constant_6407" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3370" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1558" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47255,17 +23299,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2419">
+				<port id="5" precision="FP32" names="1407">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -47273,15 +23320,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3371" name="Constant_8384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1559" name="Constant_6416" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2420">
+				<port id="0" precision="I64" names="1408">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3372" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1560" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47294,32 +23341,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2421">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3373" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.14.value">
+				<port id="2" precision="FP32" names="1409,key.37">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -47327,35 +23349,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3374" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="1561" name="Constant_6459" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="2498">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3375" name="Constant_299557" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1562" name="Constant_6461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3376" name="Constant_299556" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1563" name="Constant_6463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3377" name="ShapeOf_339193" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1564" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47363,50 +23381,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3378" name="Constant_339194" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3379" name="Constant_339195" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3380" name="Gather_339196" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1415,k.19">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3381" name="Add_339197" type="Add" version="opset1">
+		<layer id="1565" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2493" />
-			</output>
-		</layer>
-		<layer id="3382" name="ShapeOf_339264" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -47414,82 +23412,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3383" name="Constant_339265" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3384" name="Constant_339266" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3385" name="Gather_339267" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2491" />
-			</output>
-		</layer>
-		<layer id="3386" name="__module.model.gpt_neox.layers.14.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2495,2496" />
+				<port id="2" precision="FP32" names="1435">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3387" name="Constant_337730" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1566" name="Constant_6740" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3388" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1567" name="Constant_6742" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3389" name="Constant_299555" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1568" name="Constant_6744" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3390" name="ScatterUpdate_299558" type="ScatterUpdate" version="opset3">
+		<layer id="1569" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -47497,139 +23466,89 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3391" name="Constant_299559" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1445,x2.39">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3392" name="Constant_337732" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1570" name="Constant_36979" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3393" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3394" name="ScatterUpdate_299560" type="ScatterUpdate" version="opset3">
+		<layer id="1571" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
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-			</output>
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-		<layer id="3395" name="Constant_299563" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="3396" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
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 					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2499">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1446">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-		<layer id="3397" name="Constant_299636" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3398" name="Constant_299637" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1572" name="Constant_6637" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="3399" name="Constant_299633" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1573" name="Constant_6681" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3400" name="Constant_299632" type="Const" version="opset1">
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+		<layer id="1574" name="Constant_6683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1575" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -47637,182 +23556,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="3402" name="Constant_299641" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1440">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3403" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1576" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
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-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1448">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3405" name="__module.model.gpt_neox.layers.14.attention/aten::full/Convert" type="Const" version="opset1">
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-			</output>
-		</layer>
-		<layer id="3406" name="__module.model.gpt_neox.layers.14.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="1577" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="2" precision="FP32" />
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 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1449">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3407" name="Add_315996" type="Add" version="opset1">
+		<layer id="1578" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1450,1454">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3408" name="ShapeOf_315997" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1579" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="present.9.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3410" name="Constant_339271" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="3411" name="Gather_339272" type="Gather" version="opset8">
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-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="1591" name="Constant_52330" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="2486">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3412" name="Constant_268101" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1592" name="Constant_52323" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3413" name="Constant_268103" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1593" name="Constant_52325" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3414" name="Constant_268105" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1594" name="Constant_52327" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3415" name="__module.model.gpt_neox.layers.14.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1595" name="Concat_52328" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -47829,989 +23719,819 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2503">
-					<dim>4</dim>
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-		<layer id="3416" name="Maximum_315998" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3417" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add_2" type="Broadcast" version="opset3">
+		<layer id="1596" name="Broadcast_52331" type="Broadcast" version="opset3">
 			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
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-			<output>
-				<port id="2" precision="FP32" names="2505">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-		<layer id="3418" name="__module.model.gpt_neox.layers.14.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="2" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="3" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2506,2507,sdpa_result.29,tensor.57">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3419" name="Constant_8825" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="2508">
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-				</port>
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-		</layer>
-		<layer id="3420" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1597" name="ReadValue_49836" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.31.valuepresent.31.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2509">
-					<dim>-1</dim>
+				<port id="1" precision="FP32" names="past_key_values.31.value">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="1598" name="Constant_47518" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="1599" name="Gather_47519" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>2560</dim>
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 			</output>
 		</layer>
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-				<port id="0" precision="U8">
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-					<dim>2560</dim>
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 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
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 			<output>
-				<port id="0" precision="U8">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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-				<port id="0" precision="U8">
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-					<dim>1</dim>
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 			<output>
-				<port id="1" precision="FP16">
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+				<port id="0" precision="I64">
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 			<input>
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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 			</input>
 			<output>
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-					<dim>2560</dim>
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+					<dim>-1</dim>
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@@ -48828,1240 +24548,949 @@
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-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2611">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="5" precision="FP32" names="1516">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3562" name="Constant_299796" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3563" name="Constant_299795" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3564" name="__module.model.gpt_neox.layers.15.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3565" name="__module.model.gpt_neox.layers.15.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3566" name="__module.model.gpt_neox.layers.15.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2612,2617" />
 			</output>
 		</layer>
-		<layer id="3567" name="__module.model.gpt_neox.layers.15.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="1708" name="Constant_7028" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64" names="1517">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3568" name="__module.model.gpt_neox.layers.15.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
+		<layer id="1709" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="2614,2615,2619,2620" />
+				<port id="2" precision="FP32" names="1518,query.21">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3569" name="Constant_337738" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1710" name="Constant_7069" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3570" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1711" name="Constant_7071" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3571" name="Constant_299794" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1712" name="Constant_7073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3572" name="ScatterUpdate_299797" type="ScatterUpdate" version="opset3">
+		<layer id="1713" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -50069,34 +25498,72 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1525,q.21">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1714" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1531">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3573" name="Constant_299800" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1715" name="Constant_7227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3574" name="Constant_299803" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1716" name="Constant_7229" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1717" name="Constant_7231" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3575" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1718" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50105,17 +25572,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2621,x2.63">
+				<port id="5" precision="FP32" names="1541,x2.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50123,8 +25593,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3576" name="Constant_325345" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="1719" name="Constant_36986" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -50134,7 +25604,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3577" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1720" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50151,7 +25621,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2622">
+				<port id="2" precision="FP32" names="1542">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50159,24 +25629,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3578" name="Constant_299848" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1721" name="Constant_7124" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3579" name="Constant_299853" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1722" name="Constant_7168" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3580" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1723" name="Constant_7170" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1724" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50185,17 +25662,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2616">
+				<port id="5" precision="FP32" names="1536">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50203,7 +25683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3581" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1725" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50220,7 +25700,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2624">
+				<port id="2" precision="FP32" names="1544">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50228,7 +25708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3582" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1726" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50245,7 +25725,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2625">
+				<port id="2" precision="FP32" names="1545">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50253,7 +25733,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3583" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1727" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50270,32 +25750,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2626,2630">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3584" name="__module.model.gpt_neox.layers.15.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.15.key">
+				<port id="2" precision="FP32" names="1546,1564">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50303,13 +25758,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3585" name="Constant_433041" type="Const" version="opset1">
+		<layer id="1728" name="Constant_52342" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3586" name="Constant_433034" type="Const" version="opset1">
+		<layer id="1729" name="Constant_52335" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -50317,7 +25772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3587" name="Constant_433036" type="Const" version="opset1">
+		<layer id="1730" name="Constant_52337" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -50325,7 +25780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3588" name="Constant_433038" type="Const" version="opset1">
+		<layer id="1731" name="Constant_52339" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -50333,7 +25788,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3589" name="Concat_433039" type="Concat" version="opset1">
+		<layer id="1732" name="Concat_52340" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -50355,7 +25810,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3590" name="Broadcast_433042" type="Broadcast" version="opset3">
+		<layer id="1733" name="Broadcast_52343" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -50372,8 +25827,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3591" name="ReadValue_417312" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.15.valuepresent.15.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1734" name="ReadValue_49742" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.10.keypresent.10.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50383,7 +25838,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.15.value">
+				<port id="1" precision="FP32" names="past_key_values.10.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50391,13 +25846,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3592" name="Constant_401983" type="Const" version="opset1">
+		<layer id="1735" name="Constant_47389" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3593" name="Gather_401984" type="Gather" version="opset8">
+		<layer id="1736" name="Gather_47390" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -50420,32 +25875,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3594" name="Constant_299898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1737" name="Constant_7033" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3595" name="Constant_299901" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1738" name="Constant_7035" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3596" name="Constant_299904" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1739" name="Constant_7037" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3597" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1740" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50454,17 +25908,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2568">
+				<port id="5" precision="FP32" names="1519">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -50472,15 +25929,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3598" name="Constant_8965" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1741" name="Constant_7046" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2569">
+				<port id="0" precision="I64" names="1520">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3599" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1742" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50493,32 +25950,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2570">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3600" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.15.value">
+				<port id="2" precision="FP32" names="1521,key.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -50526,35 +25958,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3601" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="1743" name="Constant_7089" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="2647">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3602" name="Constant_299908" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="1744" name="Constant_7091" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3603" name="Constant_299907" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="1745" name="Constant_7093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3604" name="ShapeOf_339284" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1746" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50562,50 +25990,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3605" name="Constant_339285" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3606" name="Constant_339286" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3607" name="Gather_339287" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1527,k.21">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3608" name="Add_339288" type="Add" version="opset1">
+		<layer id="1747" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2642" />
-			</output>
-		</layer>
-		<layer id="3609" name="ShapeOf_339355" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -50613,82 +26021,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3610" name="Constant_339356" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3611" name="Constant_339357" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3612" name="Gather_339358" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2640" />
-			</output>
-		</layer>
-		<layer id="3613" name="__module.model.gpt_neox.layers.15.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2644,2645" />
+				<port id="2" precision="FP32" names="1547">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3614" name="Constant_337740" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1748" name="Constant_7370" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3615" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1749" name="Constant_7372" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3616" name="Constant_299906" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1750" name="Constant_7374" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3617" name="ScatterUpdate_299909" type="ScatterUpdate" version="opset3">
+		<layer id="1751" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -50696,139 +26075,89 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3618" name="Constant_299910" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1557,x2.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3619" name="Constant_337742" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1752" name="Constant_36987" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3620" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3621" name="ScatterUpdate_299911" type="ScatterUpdate" version="opset3">
+		<layer id="1753" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3622" name="Constant_299914" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3623" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="BOOL">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2648">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1558">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3624" name="Constant_299987" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3625" name="Constant_299988" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1754" name="Constant_7267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3626" name="Constant_299984" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1755" name="Constant_7311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3627" name="Constant_299983" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1756" name="Constant_7313" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3628" name="ScatterUpdate_299989" type="ScatterUpdate" version="opset3">
+		<layer id="1757" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -50836,182 +26165,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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 				<port id="4" precision="I64">
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+					<dim>1</dim>
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-		<layer id="3629" name="Constant_299992" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
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+				<port id="5" precision="FP32" names="1552">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1758" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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-				<port id="2" precision="I64">
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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+				<port id="2" precision="FP32" names="1560">
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+					<dim>32</dim>
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+					<dim>80</dim>
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 		</layer>
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-			</output>
-		</layer>
-		<layer id="3633" name="__module.model.gpt_neox.layers.15.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="1759" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			<output>
-				<port id="3" precision="FP32" names="2651,causal_mask.61">
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+				<port id="2" precision="FP32" names="1561">
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3634" name="Add_316068" type="Add" version="opset1">
+		<layer id="1760" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1562,1566">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="3635" name="ShapeOf_316069" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1761" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
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-				<port id="0" precision="I64">
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+				<port id="2" precision="FP32" names="present.10.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="1762" name="Constant_52354" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="2635">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3639" name="Constant_268111" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1763" name="Constant_52347" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3640" name="Constant_268113" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1764" name="Constant_52349" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3641" name="Constant_268115" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1765" name="Constant_52351" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3642" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1766" name="Concat_52352" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -51028,42 +26328,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2652">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3643" name="Maximum_316070" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1767" name="Broadcast_52355" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
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+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1768" name="ReadValue_49744" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.10.valuepresent.10.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.10.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1769" name="Constant_47392" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1770" name="Gather_47393" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1771" name="Constant_7051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1772" name="Constant_7053" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1773" name="Constant_7055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1774" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_10" type="Slice" version="opset8">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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+			</input>
+			<output>
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+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
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+		<layer id="1775" name="Constant_7064" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
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+				<port id="0" precision="I64" names="1523">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="1776" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1524">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3644" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1777" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>80</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</output>
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+		<layer id="1778" name="Constant_7446" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
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+		<layer id="1780" name="Constant_38930" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		</layer>
+		<layer id="1782" name="Gather_38932" type="Gather" version="opset8">
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+				<port id="0" precision="I64">
+					<dim>4</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1783" name="ShapeOf_38933" type="ShapeOf" version="opset3">
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+				<port id="0" precision="FP32">
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+		<layer id="1785" name="Constant_38935" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64" />
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+		<layer id="1786" name="Gather_38936" type="Gather" version="opset8">
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+				<port id="0" precision="I64">
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+		<layer id="1787" name="Add_38937" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		<layer id="1789" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_14" type="Slice" version="opset8">
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+			<output>
+				<port id="5" precision="FP32" names="1575">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -51071,7 +26662,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3645" name="__module.model.gpt_neox.layers.15.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1790" name="__module.model.gpt_neox.layers.10.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51100,7 +26691,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2655,2656,sdpa_result.31,tensor.61">
+				<port id="4" precision="FP32" names="1576,attn_output.81">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -51108,15 +26699,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3646" name="Constant_9406" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1791" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" names="2657">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3647" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1792" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51124,12 +26715,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2658">
+				<port id="2" precision="FP32" names="1577">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -51137,15 +26728,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3648" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="1793" name="Constant_40545" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3649" name="__module.model.gpt_neox.layers.15.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1794" name="__module.model.gpt_neox.layers.10.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51159,15 +26750,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2663">
+				<port id="2" precision="FP32" names="1580">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3650" name="self.model.gpt_neox.layers.15.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1337179268" size="6553600" />
+		<layer id="1795" name="self.model.gpt_neox.layers.10.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="937191048" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51175,7 +26766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3651" name="Convert_449526" type="Convert" version="opset1">
+		<layer id="1796" name="Convert_74461" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51190,8 +26781,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3652" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1343732868" size="2560" />
+		<layer id="1797" name="self.model.gpt_neox.layers.10.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="943744648" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51199,7 +26790,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3653" name="Convert_449529" type="Convert" version="opset1">
+		<layer id="1798" name="Convert_74464" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51214,7 +26805,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3654" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1799" name="self.model.gpt_neox.layers.10.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51233,8 +26824,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3655" name="self.model.gpt_neox.layers.15.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1343735428" size="5120" />
+		<layer id="1800" name="self.model.gpt_neox.layers.10.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="943747208" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -51242,7 +26833,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3656" name="self.model.gpt_neox.layers.15.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1801" name="self.model.gpt_neox.layers.10.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51261,7 +26852,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3657" name="self.model.gpt_neox.layers.15.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1802" name="self.model.gpt_neox.layers.10.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51276,7 +26867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3658" name="__module.model.gpt_neox.layers.15.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1803" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51297,8 +26888,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3659" name="Constant_325346" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1343740548" size="10240" />
+		<layer id="1804" name="Constant_36988" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="943752328" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51307,7 +26898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3660" name="__module.model.gpt_neox.layers.15.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1805" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51322,14 +26913,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2666,2668,input.63">
+				<port id="2" precision="FP32" names="1583,1585,input.41">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3661" name="__module.model.gpt_neox.layers.15/aten::add/Add" type="Add" version="opset1">
+		<layer id="1806" name="__module.model.gpt_neox.layers.10/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51344,14 +26935,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2672,attn_output.63">
+				<port id="2" precision="FP32" names="1589,attn_output.87">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3662" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1807" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -51359,7 +26950,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3663" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1808" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51379,8 +26970,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3664" name="Constant_325347" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1343750788" size="10240" />
+		<layer id="1809" name="Constant_36989" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="943762568" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51389,7 +26980,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3665" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1810" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51411,8 +27002,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3666" name="Constant_325348" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1343761028" size="10240" />
+		<layer id="1811" name="Constant_36990" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="943772808" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51421,7 +27012,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3667" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1812" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51436,15 +27027,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2676">
+				<port id="2" precision="FP32" names="1593">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3668" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1343771268" size="26214400" />
+		<layer id="1813" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="943783048" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -51452,7 +27043,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3669" name="Convert_449537" type="Convert" version="opset1">
+		<layer id="1814" name="Convert_73559" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51467,8 +27058,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3670" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1369985668" size="10240" />
+		<layer id="1815" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="969997448" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -51476,7 +27067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3671" name="Convert_449540" type="Convert" version="opset1">
+		<layer id="1816" name="Convert_73562" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51491,7 +27082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3672" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1817" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51510,8 +27101,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3673" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1369995908" size="20480" />
+		<layer id="1818" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="970007688" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -51519,7 +27110,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3674" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1819" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51538,8 +27129,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3675" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1820" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -51553,7 +27147,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3676" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1821" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51574,17 +27168,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3677" name="Constant_325349" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1370016388" size="40960" />
+		<layer id="1822" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="970028168" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3678" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1823" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1824" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51593,20 +27201,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2681">
+				<port id="2" precision="FP32" names="1598">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3679" name="__module.model.gpt_neox.layers.15.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1825" name="__module.model.gpt_neox.layers.10.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51616,15 +27222,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2682">
+				<port id="1" precision="FP32" names="1599">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3680" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1370057348" size="26214400" />
+		<layer id="1826" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="970048648" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51632,7 +27238,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3681" name="Convert_449548" type="Convert" version="opset1">
+		<layer id="1827" name="Convert_73569" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51647,8 +27253,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3682" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1396271748" size="2560" />
+		<layer id="1828" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="996263048" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -51656,7 +27262,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3683" name="Convert_449551" type="Convert" version="opset1">
+		<layer id="1829" name="Convert_73572" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51671,7 +27277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3684" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1830" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51690,8 +27296,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3685" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1396274308" size="5120" />
+		<layer id="1831" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="996265608" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -51699,7 +27305,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3686" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1832" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51718,8 +27324,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3687" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1833" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -51733,7 +27342,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3688" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1834" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51754,17 +27363,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3689" name="Constant_325350" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1396279428" size="10240" />
+		<layer id="1835" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="996270728" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3690" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1836" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1837" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51773,20 +27396,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2685,input.65">
+				<port id="2" precision="FP32" names="1602,input.43">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3691" name="__module.model.gpt_neox.layers.15/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1838" name="__module.model.gpt_neox.layers.10/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51801,14 +27422,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2687,2689,hidden_states.33">
+				<port id="2" precision="FP32" names="1604,1606,hidden_states.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3692" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1839" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -51816,7 +27437,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3693" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1840" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51836,8 +27457,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3694" name="Constant_325351" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1396289668" size="10240" />
+		<layer id="1841" name="Constant_36991" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="996275848" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51846,7 +27467,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3695" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1842" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51868,8 +27489,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3696" name="Constant_325352" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1396299908" size="10240" />
+		<layer id="1843" name="Constant_36992" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="996286088" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -51878,7 +27499,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3697" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1844" name="__module.model.gpt_neox.layers.11.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51893,15 +27514,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2699">
+				<port id="2" precision="FP32" names="1616,hidden_states.45">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3698" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1396310148" size="19660800" />
+		<layer id="1845" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="996296328" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -51909,7 +27530,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3699" name="Convert_449559" type="Convert" version="opset1">
+		<layer id="1846" name="Convert_74120" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51924,8 +27545,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3700" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1415970948" size="7680" />
+		<layer id="1847" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1015957128" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -51933,7 +27554,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3701" name="Convert_449562" type="Convert" version="opset1">
+		<layer id="1848" name="Convert_74123" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -51948,7 +27569,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3702" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1849" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51967,8 +27588,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3703" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1415978628" size="15360" />
+		<layer id="1850" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1015964808" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -51976,7 +27597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3704" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1851" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -51995,7 +27616,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3705" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1852" name="self.model.gpt_neox.layers.11.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -52010,7 +27631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3706" name="__module.model.gpt_neox.layers.16.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1853" name="__module.model.gpt_neox.layers.11.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52031,8 +27652,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3707" name="Constant_325353" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1415993988" size="30720" />
+		<layer id="1854" name="Constant_36993" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="1015980168" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -52041,7 +27662,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3708" name="__module.model.gpt_neox.layers.16.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1855" name="__module.model.gpt_neox.layers.11.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52056,14 +27677,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2706,qkv.65">
+				<port id="2" precision="FP32" names="1623,qkv.45">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3709" name="__module.model.gpt_neox.layers.16.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1856" name="__module.model.gpt_neox.layers.11.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -52071,7 +27692,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3710" name="__module.model.gpt_neox.layers.16.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1857" name="__module.model.gpt_neox.layers.11.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52084,7 +27705,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2710,qkv.67">
+				<port id="2" precision="FP32" names="1627,qkv.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -52092,32 +27713,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3711" name="Constant_299999" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1858" name="Constant_7645" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3712" name="Constant_300002" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1859" name="Constant_7647" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3713" name="Constant_300005" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1860" name="Constant_7649" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3714" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1861" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52126,17 +27746,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2711">
+				<port id="5" precision="FP32" names="1628">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -52144,15 +27767,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3715" name="Constant_9518" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1862" name="Constant_7658" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2712">
+				<port id="0" precision="I64" names="1629">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3716" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1863" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52165,7 +27788,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2713,query.97">
+				<port id="2" precision="FP32" names="1630,query.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52173,32 +27796,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3717" name="Constant_300011" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1864" name="Constant_7699" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3718" name="Constant_300014" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1865" name="Constant_7701" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3719" name="Constant_300017" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1866" name="Constant_7703" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3720" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1867" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52207,17 +27829,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2720,q.33">
+				<port id="5" precision="FP32" names="1637,q.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52225,129 +27850,257 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3721" name="self.model.gpt_neox.layers.16.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.16.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="1868" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3722" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1643">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3723" name="Constant_300023" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1869" name="Constant_7857" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3724" name="Constant_300026" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="1870" name="Constant_7859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3725" name="Constant_300029" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1871" name="Constant_7861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3726" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1872" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2714">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1653,x2.45">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3727" name="ShapeOf_339365" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1873" name="Constant_36994" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1874" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1654">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3728" name="Constant_341018" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1875" name="Constant_7754" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3729" name="Constant_339367" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1876" name="Constant_7798" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3730" name="Gather_339368" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="1877" name="Constant_7800" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1878" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_3" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1648">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1879" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2724">
+				<port id="2" precision="FP32" names="1656">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1880" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1657">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1881" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1658,1676">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3731" name="Constant_433054" type="Const" version="opset1">
+		<layer id="1882" name="Constant_52366" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3732" name="Constant_433047" type="Const" version="opset1">
+		<layer id="1883" name="Constant_52359" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52355,7 +28108,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3733" name="Constant_433049" type="Const" version="opset1">
+		<layer id="1884" name="Constant_52361" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52363,7 +28116,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3734" name="Constant_433051" type="Const" version="opset1">
+		<layer id="1885" name="Constant_52363" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52371,7 +28124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3735" name="Concat_433052" type="Concat" version="opset1">
+		<layer id="1886" name="Concat_52364" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -52393,7 +28146,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3736" name="Broadcast_433055" type="Broadcast" version="opset3">
+		<layer id="1887" name="Broadcast_52367" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -52410,8 +28163,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3737" name="ReadValue_417314" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.16.keypresent.16.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1888" name="ReadValue_49746" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.11.keypresent.11.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52421,7 +28174,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.16.key">
+				<port id="1" precision="FP32" names="past_key_values.11.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52429,13 +28182,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3738" name="Constant_401986" type="Const" version="opset1">
+		<layer id="1889" name="Constant_47395" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3739" name="Gather_401987" type="Gather" version="opset8">
+		<layer id="1890" name="Gather_47396" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52458,163 +28211,144 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3740" name="ShapeOf_339370" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="1891" name="Constant_7663" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3741" name="Constant_339371" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3742" name="Constant_339372" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1892" name="Constant_7665" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3743" name="Gather_339373" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="2726" />
 			</output>
 		</layer>
-		<layer id="3744" name="Constant_337744" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1893" name="Constant_7667" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3745" name="Reshape_340937" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="1894" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2725,2729,2730,seq_len.65">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1631">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3747" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1895" name="Constant_7676" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="1632">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3748" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1896" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2733,2736,cos.65">
+				<port id="2" precision="FP32" names="1633,key.45">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3749" name="Constant_38323" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1897" name="Constant_7719" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3750" name="__module.model.gpt_neox.layers.16.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+		<layer id="1898" name="Constant_7721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="1899" name="Constant_7723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="2739">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3751" name="__module.model.gpt_neox.layers.16.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1900" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2740,cos.67">
+				<port id="5" precision="FP32" names="1639,k.23">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3752" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="1901" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52631,7 +28365,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2744">
+				<port id="2" precision="FP32" names="1659">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52639,24 +28373,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3753" name="Constant_300034" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1902" name="Constant_8000" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3754" name="Constant_300033" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="1903" name="Constant_8002" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3755" name="__module.model.gpt_neox.layers.16.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1904" name="Constant_8004" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1905" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52664,119 +28405,89 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3756" name="__module.model.gpt_neox.layers.16.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3757" name="__module.model.gpt_neox.layers.16.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2745,2750" />
-			</output>
-		</layer>
-		<layer id="3758" name="__module.model.gpt_neox.layers.16.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3759" name="__module.model.gpt_neox.layers.16.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2747,2748,2752,2753" />
-			</output>
-		</layer>
-		<layer id="3760" name="Constant_337746" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3761" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1669,x2.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3762" name="Constant_300032" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1906" name="Constant_36995" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3763" name="ScatterUpdate_300035" type="ScatterUpdate" version="opset3">
+		<layer id="1907" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1670">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3764" name="Constant_300038" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="1908" name="Constant_7897" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3765" name="Constant_300041" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1909" name="Constant_7941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1910" name="Constant_7943" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3766" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1911" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52785,17 +28496,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2754,x2.65">
+				<port id="5" precision="FP32" names="1664">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52803,19 +28517,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3767" name="Constant_325354" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3768" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1912" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52824,39 +28527,48 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2755">
+				<port id="2" precision="FP32" names="1672">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3769" name="Constant_300086" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="1913" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3770" name="Constant_300091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1673">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3771" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1914" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52864,43 +28576,40 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2749">
+				<port id="2" precision="FP32" names="1674,1678">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3772" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1915" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2757">
+				<port id="2" precision="FP32" names="present.11.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52908,16 +28617,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3773" name="self.model.gpt_neox.layers.16.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="1916" name="Constant_52378" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.16.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1917" name="Constant_52371" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3774" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="1918" name="Constant_52373" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52925,20 +28639,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3775" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="1919" name="Constant_52375" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3776" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1920" name="Concat_52376" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -52951,75 +28664,152 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2734,2737,sin.65">
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1921" name="Broadcast_52379" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3777" name="Constant_38326" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1922" name="ReadValue_49748" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.11.valuepresent.11.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="1" precision="FP32" names="past_key_values.11.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1923" name="Constant_47398" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3778" name="__module.model.gpt_neox.layers.16.attention/aten::index/Gather_1" type="Gather" version="opset8">
+		<layer id="1924" name="Gather_47399" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2742">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3779" name="__module.model.gpt_neox.layers.16.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1925" name="Constant_7681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1926" name="Constant_7683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1927" name="Constant_7685" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1928" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2743,sin.67">
+				<port id="5" precision="FP32" names="1634">
 					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3780" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1929" name="Constant_7694" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1635">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1930" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2758">
+				<port id="2" precision="FP32" names="1636">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53027,8 +28817,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3781" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1931" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53044,7 +28834,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2759,2777,2787,query.101,query.99">
+				<port id="2" precision="FP32" names="present.11.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53052,89 +28842,164 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3782" name="Constant_9532" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="1932" name="Constant_8076" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="2715">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3783" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1933" name="ShapeOf_39002" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="1934" name="Constant_39003" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1935" name="Constant_39004" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1936" name="Gather_39005" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2716,key.97">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1937" name="ShapeOf_39006" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3784" name="Constant_300137" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1938" name="Constant_39007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3785" name="Constant_300140" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="1939" name="Constant_39008" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1940" name="Gather_39009" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1941" name="Add_39010" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1683">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3786" name="Constant_300143" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="1942" name="Constant_8079" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3787" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1943" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2722,k.33">
+				<port id="5" precision="FP32" names="1687">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3788" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1944" name="__module.model.gpt_neox.layers.11.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53144,13 +29009,25 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2760">
+				<port id="4" precision="FP32" names="1688,attn_output.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53158,24 +29035,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3789" name="Constant_300147" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="1945" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3790" name="Constant_300146" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3791" name="__module.model.gpt_neox.layers.16.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1946" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53183,1038 +29051,1035 @@
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+		<layer id="2013" name="Constant_8277" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="3868" name="Constant_268125" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2014" name="Constant_8279" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<data axis="0" />
+		<layer id="2015" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -54225,53 +30090,73 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="4" precision="I64" names="2801">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1740">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3870" name="Maximum_316142" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="2016" name="Constant_8288" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64" names="1741">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3871" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2017" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1742,query.25">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3872" name="__module.model.gpt_neox.layers.16.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2018" name="Constant_8329" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2019" name="Constant_8331" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2020" name="Constant_8333" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2021" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -54279,27 +30164,46 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1749,q.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2022" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2804,2805,sdpa_result.33,tensor.65">
+				<port id="2" precision="FP32" names="1755">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -54307,1016 +30211,890 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3873" name="Constant_9987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2023" name="Constant_8487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="I64" names="2806">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3874" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="2024" name="Constant_8489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
-				<port id="2" precision="FP32" names="2807">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3875" name="__module.model.gpt_neox.layers.16.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="2025" name="Constant_8491" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3876" name="__module.model.gpt_neox.layers.16.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2026" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2812">
+				<port id="5" precision="FP32" names="1765,x2.49">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3877" name="self.model.gpt_neox.layers.16.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1416024708" size="6553600" />
+		<layer id="2027" name="Constant_37002" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3878" name="Convert_449570" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2028" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="1766">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="1422578308" size="2560" />
+		<layer id="2029" name="Constant_8384" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<input>
-				<port id="0" precision="U8">
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-					<dim>1</dim>
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-			</input>
+		<layer id="2030" name="Constant_8428" type="Const" version="opset1">
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 			<output>
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-			<input>
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-					<dim>2560</dim>
-				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2031" name="Constant_8430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
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-			<data auto_broadcast="numpy" />
+		<layer id="2032" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
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-			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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-		<layer id="3884" name="self.model.gpt_neox.layers.16.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
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-				<port id="0" precision="FP16">
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-					<dim>2560</dim>
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+				<port id="4" precision="I64">
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 			<output>
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-					<dim>2560</dim>
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 				<port id="0" precision="FP32">
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 				<port id="1" precision="FP32">
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 				<port id="0" precision="FP32">
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-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2080" name="Constant_8313" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3940" name="Constant_300356" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2081" name="Constant_8315" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3941" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2082" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55325,17 +31103,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1746">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -55343,15 +31124,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3942" name="Constant_10099" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2083" name="Constant_8324" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2861">
+				<port id="0" precision="I64" names="1747">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3943" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2084" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55364,7 +31145,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2862,query.103">
+				<port id="2" precision="FP32" names="1748">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55372,32 +31153,41 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3944" name="Constant_300362" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="2085" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="3945" name="Constant_300365" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="present.12.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3946" name="Constant_300368" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2086" name="Constant_8706" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3947" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2087" name="ShapeOf_39075" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55405,951 +31195,1272 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="2088" name="Constant_39076" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
+			</output>
+		</layer>
+		<layer id="2089" name="Constant_39077" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2090" name="Gather_39078" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2869,q.35">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2091" name="ShapeOf_39079" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3948" name="self.model.gpt_neox.layers.17.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.17.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3949" name="__module.model.gpt_neox.layers.17.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2092" name="Constant_39080" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3950" name="Constant_300374" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2093" name="Constant_39081" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2094" name="Gather_39082" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3951" name="Constant_300377" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
+		<layer id="2095" name="Add_39083" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1795">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3952" name="Constant_300380" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2096" name="Constant_8709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2097" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1799">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="2098" name="__module.model.gpt_neox.layers.12.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="I64">
+				<port id="4" precision="FP32" names="1800,attn_output.97">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="2099" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Constant" type="Const" version="opset1">
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+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2100" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1801">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
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 		</layer>
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-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2101" name="Constant_40547" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
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-					<dim>4</dim>
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
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-					<dim>1</dim>
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="2103" name="self.model.gpt_neox.layers.12.attention.dense.weight" type="Const" version="opset1">
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 			<output>
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-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="2104" name="Convert_74483" type="Convert" version="opset1">
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+					<dim>2560</dim>
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 			<output>
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+		<layer id="2106" name="Convert_74486" type="Convert" version="opset1">
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+					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
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 		</layer>
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+		<layer id="2161" name="__module.model.gpt_neox.layers.13.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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+					<dim>7680</dim>
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+			</output>
+		</layer>
+		<layer id="2162" name="Constant_37009" type="Const" version="opset1">
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+		<layer id="2163" name="__module.model.gpt_neox.layers.13.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2164" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2165" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 			<output>
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+				<port id="2" precision="FP32" names="1851,qkv.55">
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+					<dim>32</dim>
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 		</layer>
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+		<layer id="2166" name="Constant_8905" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="2167" name="Constant_8907" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2168" name="Constant_8909" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2169" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1852">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2170" name="Constant_8918" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1853">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2171" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1854,query.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56357,24 +32468,31 @@
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 			</output>
 		</layer>
-		<layer id="4016" name="Constant_300498" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2172" name="Constant_8959" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="4017" name="Constant_300497" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2173" name="Constant_8961" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="2174" name="Constant_8963" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2175" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56382,119 +32500,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-		</layer>
-		<layer id="4019" name="__module.model.gpt_neox.layers.17.attention/aten::size/Constant_7" type="Const" version="opset1">
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-				<port id="0" precision="I32" />
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-		<layer id="4020" name="__module.model.gpt_neox.layers.17.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
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-			<output>
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-		<layer id="4021" name="__module.model.gpt_neox.layers.17.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
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-				<port id="1" precision="I64" />
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-			<output>
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-		</layer>
-		<layer id="4022" name="__module.model.gpt_neox.layers.17.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="2912,2913,2917,2918" />
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-		<layer id="4023" name="Constant_337758" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1861,q.27">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="2176" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1867">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4025" name="Constant_300496" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2177" name="Constant_9117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
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 				<port id="0" precision="I64">
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 					<dim>1</dim>
 				</port>
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 			</output>
 		</layer>
-		<layer id="4027" name="Constant_300502" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2178" name="Constant_9119" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4028" name="Constant_300505" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2179" name="Constant_9121" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4029" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2180" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56503,17 +32580,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2919,x2.71">
+				<port id="5" precision="FP32" names="1877,x2.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56521,8 +32601,8 @@
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 			</output>
 		</layer>
-		<layer id="4030" name="Constant_325365" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="2181" name="Constant_37010" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -56532,7 +32612,7 @@
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 			</output>
 		</layer>
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+		<layer id="2182" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56549,7 +32629,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2920">
+				<port id="2" precision="FP32" names="1878">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56557,24 +32637,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4032" name="Constant_300550" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2183" name="Constant_9014" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="4033" name="Constant_300555" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2184" name="Constant_9058" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4034" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2185" name="Constant_9060" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2186" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56583,17 +32670,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2914">
+				<port id="5" precision="FP32" names="1872">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56601,7 +32691,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4035" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2187" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56618,7 +32708,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2922">
+				<port id="2" precision="FP32" names="1880">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56626,7 +32716,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4036" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2188" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56643,7 +32733,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2923">
+				<port id="2" precision="FP32" names="1881">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56651,7 +32741,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4037" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2189" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56668,32 +32758,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2924,2928">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4038" name="__module.model.gpt_neox.layers.17.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.17.key">
+				<port id="2" precision="FP32" names="1882,1900">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56701,13 +32766,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4039" name="Constant_433093" type="Const" version="opset1">
+		<layer id="2190" name="Constant_52414" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4040" name="Constant_433086" type="Const" version="opset1">
+		<layer id="2191" name="Constant_52407" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -56715,7 +32780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4041" name="Constant_433088" type="Const" version="opset1">
+		<layer id="2192" name="Constant_52409" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -56723,7 +32788,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4042" name="Constant_433090" type="Const" version="opset1">
+		<layer id="2193" name="Constant_52411" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -56731,7 +32796,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4043" name="Concat_433091" type="Concat" version="opset1">
+		<layer id="2194" name="Concat_52412" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -56753,7 +32818,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4044" name="Broadcast_433094" type="Broadcast" version="opset3">
+		<layer id="2195" name="Broadcast_52415" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -56770,8 +32835,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4045" name="ReadValue_417320" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.17.valuepresent.17.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2196" name="ReadValue_49754" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.keypresent.13.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56781,7 +32846,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.17.value">
+				<port id="1" precision="FP32" names="past_key_values.13.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56789,13 +32854,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4046" name="Constant_401995" type="Const" version="opset1">
+		<layer id="2197" name="Constant_47407" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4047" name="Gather_401996" type="Gather" version="opset8">
+		<layer id="2198" name="Gather_47408" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56818,32 +32883,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4048" name="Constant_300600" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="2199" name="Constant_8923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4049" name="Constant_300603" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2200" name="Constant_8925" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4050" name="Constant_300606" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2201" name="Constant_8927" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4051" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2202" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56852,381 +32916,87 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="4052" name="Constant_10127" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2867">
-					<dim>4</dim>
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-		<layer id="4053" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4054" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.17.value">
+				<port id="5" precision="FP32" names="1855">
 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>80</dim>
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-					<dim>1</dim>
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-					<dim>2048</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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 		</layer>
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-			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="1856">
 					<dim>4</dim>
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 			</output>
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-			<data output_type="i64" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
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-				<port id="0" precision="I64">
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+					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="4079" name="Constant_300690" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2205" name="Constant_8979" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="4080" name="Constant_300686" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2206" name="Constant_8981" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-		<layer id="4081" name="Constant_300685" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2207" name="Constant_8983" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4082" name="ScatterUpdate_300691" type="ScatterUpdate" version="opset3">
+		<layer id="2208" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -57234,186 +33004,168 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4083" name="Constant_300694" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1863,k.27">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4084" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2209" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1883">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="2210" name="Constant_9260" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="154497612" size="4" />
+		<layer id="2211" name="Constant_9262" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
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-		</layer>
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-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="0" precision="I64">
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-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="2212" name="Constant_9264" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
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 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2213" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_7" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-				<port id="0" precision="FP32">
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 			<output>
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+				<port id="5" precision="FP32" names="1893,x2.55">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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+		<layer id="2214" name="Constant_37011" type="Const" version="opset1">
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+					<dim>1</dim>
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 		</layer>
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-		</layer>
-		<layer id="4092" name="Gather_339545" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2215" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1894">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2216" name="Constant_9157" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4094" name="Constant_268133" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2217" name="Constant_9201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="4095" name="Constant_268135" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2218" name="Constant_9203" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="2219" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -57424,53 +33176,46 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="2950">
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-		<layer id="4097" name="Maximum_316214" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
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-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1888">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4098" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2220" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2952">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1896">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4099" name="__module.model.gpt_neox.layers.17.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2221" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -57479,26 +33224,14 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="2" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2953,2954,sdpa_result.35,tensor.69">
+				<port id="2" precision="FP32" names="1897">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -57506,15 +33239,8 @@
 				</port>
 			</output>
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-			<data element_type="u8" shape="10240, 1" offset="1527676548" size="10240" />
+		<layer id="2246" name="Constant_39153" type="Const" version="opset1">
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 			<output>
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 				</port>
 			</output>
 		</layer>
-		<layer id="4125" name="Convert_449628" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2247" name="Constant_39154" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2248" name="Gather_39155" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+				<port id="1" precision="I64">
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 			<output>
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+				<port id="3" precision="I64">
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 				</port>
 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
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 				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64" names="1907">
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="10240, 1" offset="1527686788" size="20480" />
+		<layer id="2250" name="Constant_9339" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2251" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
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-					<dim>10240</dim>
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-			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4129" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="5" precision="FP32" names="1911">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2252" name="__module.model.gpt_neox.layers.13.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="4" precision="FP32" names="1912,attn_output.105">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4131" name="Constant_325369" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1527707268" size="40960" />
+		<layer id="2253" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2254" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1913">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4133" name="__module.model.gpt_neox.layers.17.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="2255" name="Constant_40548" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2256" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1916">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 10240" offset="1527748228" size="26214400" />
+		<layer id="2257" name="self.model.gpt_neox.layers.13.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1173650568" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4135" name="Convert_449636" type="Convert" version="opset1">
+		<layer id="2258" name="Convert_74494" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4136" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1553962628" size="2560" />
+		<layer id="2259" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1180204168" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -58054,7 +33798,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4137" name="Convert_449639" type="Convert" version="opset1">
+		<layer id="2260" name="Convert_74497" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -58069,12 +33813,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4138" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2261" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -58084,12 +33828,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
-		<layer id="4139" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1553965188" size="5120" />
+		<layer id="2262" name="self.model.gpt_neox.layers.13.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1180206728" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -58097,12 +33841,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4140" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2263" name="self.model.gpt_neox.layers.13.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -58112,36 +33856,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4141" name="self.model.gpt_neox.layers.17.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2264" name="self.model.gpt_neox.layers.13.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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+					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
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+					<dim>2560</dim>
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 		</layer>
-		<layer id="4142" name="__module.model.gpt_neox.layers.17.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2265" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
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 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -58152,8 +33896,8 @@
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 			</output>
 		</layer>
-		<layer id="4143" name="Constant_325370" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1553970308" size="10240" />
+		<layer id="2266" name="Constant_37012" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1180211848" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58162,7 +33906,7 @@
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 			</output>
 		</layer>
-		<layer id="4144" name="__module.model.gpt_neox.layers.17.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2267" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58177,14 +33921,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2983,input.73">
+				<port id="2" precision="FP32" names="1919,1921,input.53">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4145" name="__module.model.gpt_neox.layers.17/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2268" name="__module.model.gpt_neox.layers.13/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58199,14 +33943,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2985,2987,hidden_states.37">
+				<port id="2" precision="FP32" names="1925,attn_output.111">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4146" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2269" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -58214,7 +33958,7 @@
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 			</output>
 		</layer>
-		<layer id="4147" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2270" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58234,8 +33978,8 @@
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 			</output>
 		</layer>
-		<layer id="4148" name="Constant_325371" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1553980548" size="10240" />
+		<layer id="2271" name="Constant_37013" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1180222088" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58244,7 +33988,7 @@
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 			</output>
 		</layer>
-		<layer id="4149" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2272" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58266,8 +34010,8 @@
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 			</output>
 		</layer>
-		<layer id="4150" name="Constant_325372" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1553990788" size="10240" />
+		<layer id="2273" name="Constant_37014" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1180232328" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -58276,7 +34020,7 @@
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 			</output>
 		</layer>
-		<layer id="4151" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2274" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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@@ -58291,124 +34035,127 @@
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 			</input>
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+				<port id="2" precision="FP32" names="1929">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-			<data element_type="u8" shape="7680, 2560" offset="1554001028" size="19660800" />
+		<layer id="2275" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1180242568" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
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+					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="4153" name="Convert_449647" type="Convert" version="opset1">
+		<layer id="2276" name="Convert_73619" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 		</layer>
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-			<data element_type="u8" shape="7680, 1" offset="1573661828" size="7680" />
+		<layer id="2277" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1206456968" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="4155" name="Convert_449650" type="Convert" version="opset1">
+		<layer id="2278" name="Convert_73622" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="4156" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2279" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
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 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="7680, 1" offset="1573669508" size="15360" />
+		<layer id="2280" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1206467208" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4158" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2281" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4159" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2282" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4160" name="__module.model.gpt_neox.layers.18.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2283" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58417,7 +34164,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -58425,756 +34172,742 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4161" name="Constant_325373" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1573684868" size="30720" />
+		<layer id="2284" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1206487688" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4162" name="__module.model.gpt_neox.layers.18.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2285" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3004,qkv.73">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4163" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992288" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4164" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2286" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3008,qkv.75">
+				<port id="2" precision="FP32" names="1934">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
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-			</output>
-		</layer>
-		<layer id="4165" name="Constant_300701" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4166" name="Constant_300704" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="4167" name="Constant_300707" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2287" name="__module.model.gpt_neox.layers.13.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="1935">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4169" name="Constant_10680" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2288" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1206508168" size="26214400" />
 			<output>
-				<port id="0" precision="I64" names="3010">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4170" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2289" name="Convert_73629" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
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-				<port id="1" precision="I64">
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+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4171" name="Constant_300713" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2290" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
 				</port>
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 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="2291" name="Convert_73632" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
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-		<layer id="4173" name="Constant_300719" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
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+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2292" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
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+				<port id="1" precision="FP16">
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+					<dim>1</dim>
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-					<dim>80</dim>
+				<port id="2" precision="FP16">
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+					<dim>10240</dim>
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-				<port id="0" precision="I64">
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>10240</dim>
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+					<dim>1</dim>
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-		<layer id="4179" name="Constant_300731" type="Const" version="opset1">
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+			</input>
 			<output>
-				<port id="0" precision="I64">
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+					<dim>2560</dim>
+					<dim>10240</dim>
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+		<layer id="2317" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>7680</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3038,cos.75">
+				<port id="2" precision="FP32" names="1959,qkv.57">
 					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4206" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2318" name="__module.model.gpt_neox.layers.14.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992288" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2319" name="__module.model.gpt_neox.layers.14.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3042">
+				<port id="2" precision="FP32" names="1963,qkv.59">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4207" name="Constant_300736" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2320" name="Constant_9535" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4208" name="Constant_300735" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2321" name="Constant_9537" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4209" name="__module.model.gpt_neox.layers.18.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2322" name="Constant_9539" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2323" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1964">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4210" name="__module.model.gpt_neox.layers.18.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="2324" name="Constant_9548" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64" names="1965">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4211" name="__module.model.gpt_neox.layers.18.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2325" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3043,3048" />
+				<port id="2" precision="FP32" names="1966,query.29">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4212" name="__module.model.gpt_neox.layers.18.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="2326" name="Constant_9589" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4213" name="__module.model.gpt_neox.layers.18.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="2327" name="Constant_9591" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="3045,3046,3050,3051" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4214" name="Constant_337766" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2328" name="Constant_9593" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4215" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2329" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4216" name="Constant_300734" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1973,q.29">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4217" name="ScatterUpdate_300737" type="ScatterUpdate" version="opset3">
+		<layer id="2330" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1979">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4218" name="Constant_300740" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2331" name="Constant_9747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4219" name="Constant_300743" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2332" name="Constant_9749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2333" name="Constant_9751" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4220" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2334" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59183,17 +34916,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3052,x2.73">
+				<port id="5" precision="FP32" names="1989,x2.57">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59201,8 +34937,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4221" name="Constant_325374" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="2335" name="Constant_37018" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59212,7 +34948,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4222" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="2336" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59229,7 +34965,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3053">
+				<port id="2" precision="FP32" names="1990">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59237,24 +34973,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4223" name="Constant_300788" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2337" name="Constant_9644" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4224" name="Constant_300793" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2338" name="Constant_9688" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4225" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2339" name="Constant_9690" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2340" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59263,17 +35006,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3047">
+				<port id="5" precision="FP32" names="1984">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59281,7 +35027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4226" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="2341" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59298,7 +35044,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3055">
+				<port id="2" precision="FP32" names="1992">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2342" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1993">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59306,16 +35077,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4227" name="self.model.gpt_neox.layers.18.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="2343" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.18.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="1994,2012">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4228" name="__module.model.gpt_neox.layers.18.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="2344" name="Constant_52438" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2345" name="Constant_52431" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2346" name="Constant_52433" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59323,20 +35124,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4229" name="__module.model.gpt_neox.layers.18.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2347" name="Constant_52435" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4230" name="__module.model.gpt_neox.layers.18.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2348" name="Concat_52436" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -59349,59 +35149,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3032,3035,sin.73">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4231" name="Constant_38338" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4232" name="__module.model.gpt_neox.layers.18.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2349" name="Broadcast_52439" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3040">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4233" name="__module.model.gpt_neox.layers.18.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2350" name="ReadValue_49758" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.14.keypresent.14.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3041,sin.75">
+				<port id="1" precision="FP32" names="past_key_values.14.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4234" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2351" name="Constant_47413" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2352" name="Gather_47414" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59409,15 +35205,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3056">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59425,40 +35219,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4235" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2353" name="Constant_9553" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2354" name="Constant_9555" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2355" name="Constant_9557" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2356" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3057,3075,3085,query.111,query.113">
+				<port id="5" precision="FP32" names="1967">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4236" name="Constant_10694" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2357" name="Constant_9566" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3013">
+				<port id="0" precision="I64" names="1968">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4237" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2358" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59471,7 +35294,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3014,key.109">
+				<port id="2" precision="FP32" names="1969,key.57">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59479,32 +35302,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4238" name="Constant_300839" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2359" name="Constant_9609" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4239" name="Constant_300842" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="2360" name="Constant_9611" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4240" name="Constant_300845" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2361" name="Constant_9613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4241" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2362" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59513,17 +35335,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3020,k.37">
+				<port id="5" precision="FP32" names="1975,k.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59531,7 +35356,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4242" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2363" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59548,7 +35373,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3058">
+				<port id="2" precision="FP32" names="1995">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59556,144 +35381,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4243" name="Constant_300849" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4244" name="Constant_300848" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2364" name="Constant_9890" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4245" name="__module.model.gpt_neox.layers.18.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4246" name="__module.model.gpt_neox.layers.18.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4247" name="__module.model.gpt_neox.layers.18.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3059,3064" />
-			</output>
-		</layer>
-		<layer id="4248" name="__module.model.gpt_neox.layers.18.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4249" name="__module.model.gpt_neox.layers.18.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3061,3062,3066,3067" />
-			</output>
-		</layer>
-		<layer id="4250" name="Constant_337768" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2365" name="Constant_9892" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4251" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4252" name="Constant_300847" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2366" name="Constant_9894" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4253" name="ScatterUpdate_300850" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4254" name="Constant_300853" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4255" name="Constant_300856" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4256" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2367" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59702,17 +35414,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3068,x2.75">
+				<port id="5" precision="FP32" names="2005,x2.59">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59720,8 +35435,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4257" name="Constant_325375" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="2368" name="Constant_37019" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -59731,7 +35446,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4258" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2369" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59748,7 +35463,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3069">
+				<port id="2" precision="FP32" names="2006">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59756,24 +35471,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4259" name="Constant_300901" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2370" name="Constant_9787" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4260" name="Constant_300906" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2371" name="Constant_9831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2372" name="Constant_9833" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4261" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2373" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59782,17 +35504,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3063">
+				<port id="5" precision="FP32" names="2000">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59800,7 +35525,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4262" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2374" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59817,7 +35542,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3071">
+				<port id="2" precision="FP32" names="2008">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59825,7 +35550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4263" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2375" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59842,7 +35567,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3072">
+				<port id="2" precision="FP32" names="2009">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59850,7 +35575,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4264" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2376" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59867,7 +35592,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3073,3077">
+				<port id="2" precision="FP32" names="2010,2014">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59875,7 +35600,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4265" name="__module.model.gpt_neox.layers.18.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="2377" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59892,7 +35617,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.18.key">
+				<port id="2" precision="FP32" names="present.14.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59900,13 +35625,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4266" name="Constant_433119" type="Const" version="opset1">
+		<layer id="2378" name="Constant_52450" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4267" name="Constant_433112" type="Const" version="opset1">
+		<layer id="2379" name="Constant_52443" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59914,7 +35639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4268" name="Constant_433114" type="Const" version="opset1">
+		<layer id="2380" name="Constant_52445" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59922,7 +35647,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4269" name="Constant_433116" type="Const" version="opset1">
+		<layer id="2381" name="Constant_52447" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59930,7 +35655,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4270" name="Concat_433117" type="Concat" version="opset1">
+		<layer id="2382" name="Concat_52448" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -59952,7 +35677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4271" name="Broadcast_433120" type="Broadcast" version="opset3">
+		<layer id="2383" name="Broadcast_52451" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -59969,8 +35694,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4272" name="ReadValue_417324" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.18.valuepresent.18.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2384" name="ReadValue_49760" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.14.valuepresent.14.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59980,7 +35705,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.18.value">
+				<port id="1" precision="FP32" names="past_key_values.14.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59988,13 +35713,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4273" name="Constant_402001" type="Const" version="opset1">
+		<layer id="2385" name="Constant_47416" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4274" name="Gather_402002" type="Gather" version="opset8">
+		<layer id="2386" name="Gather_47417" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60017,32 +35742,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4275" name="Constant_300951" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="2387" name="Constant_9571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4276" name="Constant_300954" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2388" name="Constant_9573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4277" name="Constant_300957" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2389" name="Constant_9575" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4278" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2390" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60051,17 +35775,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3015">
+				<port id="5" precision="FP32" names="1970">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -60069,15 +35796,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4279" name="Constant_10708" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2391" name="Constant_9584" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3016">
+				<port id="0" precision="I64" names="1971">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4280" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2392" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60090,7 +35817,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3017">
+				<port id="2" precision="FP32" names="1972">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -60098,7 +35825,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4281" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="2393" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60115,7 +35842,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.18.value">
+				<port id="2" precision="FP32" names="present.14.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -60123,34 +35850,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4282" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="3094">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4283" name="Constant_300961" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4284" name="Constant_300960" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2394" name="Constant_9966" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4285" name="ShapeOf_339557" type="ShapeOf" version="opset3">
+		<layer id="2395" name="ShapeOf_39221" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60166,42 +35874,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4286" name="Constant_339558" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="2396" name="Constant_39222" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4287" name="Constant_339559" type="Const" version="opset1">
+		<layer id="2397" name="Constant_39223" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4288" name="Gather_339560" type="Gather" version="opset8">
+		<layer id="2398" name="Gather_39224" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4289" name="Add_339561" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="3089" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4290" name="ShapeOf_339628" type="ShapeOf" version="opset3">
+		<layer id="2399" name="ShapeOf_39225" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60217,75 +35921,68 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4291" name="Constant_339629" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="2400" name="Constant_39226" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4292" name="Constant_339630" type="Const" version="opset1">
+		<layer id="2401" name="Constant_39227" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4293" name="Gather_339631" type="Gather" version="opset8">
+		<layer id="2402" name="Gather_39228" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3087" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4294" name="__module.model.gpt_neox.layers.18.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="2403" name="Add_39229" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="3091,3092" />
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-		</layer>
-		<layer id="4295" name="Constant_337770" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4296" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
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 		</layer>
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+		<layer id="2404" name="Constant_9969" type="Const" version="opset1">
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 				</port>
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 		</layer>
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@@ -60293,502 +35990,615 @@
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 					<dim>1</dim>
 				</port>
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-		<layer id="4300" name="Constant_337772" type="Const" version="opset1">
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-			<data special_zero="false" />
+		<layer id="2406" name="__module.model.gpt_neox.layers.14.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4317" name="Constant_339634" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2429" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1259062408" size="26214400" />
 			<output>
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+				<port id="0" precision="U8">
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4319" name="Gather_339636" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2430" name="Convert_73639" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4320" name="Constant_268141" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2431" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1285276808" size="10240" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U8">
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4321" name="Constant_268143" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2432" name="Convert_73642" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4322" name="Constant_268145" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4323" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2433" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3099">
-					<dim>4</dim>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2434" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1285287048" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4324" name="Maximum_316286" type="Maximum" version="opset1">
+		<layer id="2435" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4325" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2436" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3101">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4326" name="__module.model.gpt_neox.layers.18.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2437" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
+			</input>
+			<output>
 				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>10240</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="2438" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1285307528" size="20480" />
 			<output>
-				<port id="4" precision="FP32" names="3102,3103,sdpa_result.37,tensor.73">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4327" name="Constant_11149" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2439" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="3104">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4328" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2440" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3105">
+				<port id="2" precision="FP32" names="2046">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4329" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4330" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2441" name="__module.model.gpt_neox.layers.14.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3110">
+				<port id="1" precision="FP32" names="2047">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4331" name="self.model.gpt_neox.layers.18.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1573715588" size="6553600" />
+		<layer id="2442" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1285328008" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4332" name="Convert_449658" type="Convert" version="opset1">
+		<layer id="2443" name="Convert_73649" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4333" name="self.model.gpt_neox.layers.18.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1580269188" size="2560" />
+		<layer id="2444" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1311542408" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -60796,7 +36606,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4334" name="Convert_449661" type="Convert" version="opset1">
+		<layer id="2445" name="Convert_73652" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -60811,12 +36621,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4335" name="self.model.gpt_neox.layers.18.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2446" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -60826,12 +36636,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4336" name="self.model.gpt_neox.layers.18.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1580271748" size="5120" />
+		<layer id="2447" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1311544968" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -60839,12 +36649,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4337" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2448" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -60854,36 +36664,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4338" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2449" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4339" name="__module.model.gpt_neox.layers.18.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2450" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -60894,17 +36707,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4340" name="Constant_325376" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1580276868" size="10240" />
+		<layer id="2451" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1311550088" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2452" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4341" name="__module.model.gpt_neox.layers.18.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2453" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60913,20 +36740,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
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 		</layer>
-		<layer id="4342" name="__module.model.gpt_neox.layers.18/aten::add/Add" type="Add" version="opset1">
+		<layer id="2454" name="__module.model.gpt_neox.layers.14/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -60941,14 +36766,14 @@
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 			<output>
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 		</layer>
-		<layer id="4343" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2455" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
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@@ -60956,7 +36781,7 @@
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-		<layer id="4344" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2456" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -60976,8 +36801,8 @@
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-			<data element_type="f32" shape="1, 1, 2560" offset="1580287108" size="10240" />
+		<layer id="2457" name="Constant_37023" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1311555208" size="10240" />
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@@ -60986,7 +36811,7 @@
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 		</layer>
-		<layer id="4346" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2458" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -61008,8 +36833,8 @@
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-		<layer id="4347" name="Constant_325378" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1580297348" size="10240" />
+		<layer id="2459" name="Constant_37024" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -61018,7 +36843,7 @@
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 		</layer>
-		<layer id="4348" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2460" name="__module.model.gpt_neox.layers.15.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -61033,124 +36858,124 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3123">
+				<port id="2" precision="FP32" names="2064,hidden_states.61">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
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-			<data element_type="u8" shape="10240, 2560" offset="1580307588" size="26214400" />
+		<layer id="2461" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="1311575688" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
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 		</layer>
-		<layer id="4350" name="Convert_449669" type="Convert" version="opset1">
+		<layer id="2462" name="Convert_74164" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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 			<output>
 				<port id="1" precision="FP16">
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+					<dim>7680</dim>
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 		</layer>
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-			<data element_type="u8" shape="10240, 1" offset="1606521988" size="10240" />
+		<layer id="2463" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1331236488" size="7680" />
 			<output>
 				<port id="0" precision="U8">
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+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="4352" name="Convert_449672" type="Convert" version="opset1">
+		<layer id="2464" name="Convert_74167" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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 					<dim>1</dim>
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 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="4353" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2465" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
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 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
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 		</layer>
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-			<data element_type="f16" shape="10240, 1" offset="1606532228" size="20480" />
+		<layer id="2466" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1331244168" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
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 		</layer>
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+		<layer id="2467" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
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 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4356" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2468" name="self.model.gpt_neox.layers.15.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
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 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
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 				</port>
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 		</layer>
-		<layer id="4357" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2469" name="__module.model.gpt_neox.layers.15.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61159,7 +36984,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>7680</dim>
 					<dim>2560</dim>
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@@ -61167,602 +36992,918 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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 		</layer>
-		<layer id="4358" name="Constant_325379" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1606552708" size="40960" />
+		<layer id="2470" name="Constant_37025" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+					<dim>7680</dim>
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 		</layer>
-		<layer id="4359" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2471" name="__module.model.gpt_neox.layers.15.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3128">
+				<port id="2" precision="FP32" names="2071,qkv.61">
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 					<dim>-1</dim>
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+					<dim>7680</dim>
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 		</layer>
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-			<data approximation_mode="ERF" />
+		<layer id="2472" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992288" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2473" name="__module.model.gpt_neox.layers.15.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3129">
+				<port id="2" precision="FP32" names="2075,qkv.63">
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 10240" offset="1606593668" size="26214400" />
+		<layer id="2474" name="Constant_10165" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4362" name="Convert_449680" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2475" name="Constant_10167" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2476" name="Constant_10169" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2477" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
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+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="5" precision="FP32" names="2076">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
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-			<data element_type="u8" shape="2560, 1" offset="1632808068" size="2560" />
+		<layer id="2478" name="Constant_10178" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64" names="2077">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2479" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		</layer>
+		<layer id="2480" name="Constant_10219" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
-		<layer id="4364" name="Convert_449683" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2481" name="Constant_10221" type="Const" version="opset1">
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+		<layer id="2482" name="Constant_10223" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		<layer id="2483" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</output>
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+		<layer id="2484" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+		<layer id="2515" name="Constant_10243" type="Const" version="opset1">
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-					<dim>2560</dim>
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 		</layer>
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-			<data destination_type="f32" />
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-					<dim>7680</dim>
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+					<dim>80</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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 			</input>
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-					<dim>7680</dim>
-					<dim>2560</dim>
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+					<dim>32</dim>
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2517" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
-					<dim>7680</dim>
-					<dim>2560</dim>
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="2107">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 7680" offset="1652530308" size="30720" />
+		<layer id="2518" name="Constant_10520" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2519" name="Constant_10522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2520" name="Constant_10524" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2521" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 				</port>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2117,x2.63">
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992288" size="32" />
+		<layer id="2522" name="Constant_37027" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="2523" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3157,qkv.79">
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+				<port id="2" precision="FP32" names="2118">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
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 			</output>
 		</layer>
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+		<layer id="2524" name="Constant_10417" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="2525" name="Constant_10461" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2526" name="Constant_10463" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="2527" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2112">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4396" name="Constant_11261" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2528" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="3159">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2120">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4397" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2529" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3160,query.115">
+				<port id="2" precision="FP32" names="2121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61770,32 +37911,33 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4398" name="Constant_301064" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="2530" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4399" name="Constant_301067" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4400" name="Constant_301070" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2122,2126">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4401" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2531" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61803,18 +37945,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3167,q.39">
+				<port id="2" precision="FP32" names="present.15.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61822,157 +37961,154 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4402" name="self.model.gpt_neox.layers.19.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="2532" name="Constant_52474" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.19.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4403" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2533" name="Constant_52467" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4404" name="Constant_301076" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="4405" name="Constant_301079" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="2534" name="Constant_52469" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4406" name="Constant_301082" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2535" name="Constant_52471" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4407" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2536" name="Concat_52472" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
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-					<dim>240</dim>
+				<port id="0" precision="I64">
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 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
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 				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
+			</output>
+		</layer>
+		<layer id="2537" name="Broadcast_52475" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
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 				</port>
 			</input>
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+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4408" name="ShapeOf_339638" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2538" name="ReadValue_49764" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.15.valuepresent.15.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
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 			<output>
-				<port id="1" precision="I64">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.15.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4410" name="Constant_339640" type="Const" version="opset1">
+		<layer id="2539" name="Constant_47422" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4411" name="Gather_339641" type="Gather" version="opset8">
+		<layer id="2540" name="Gather_47423" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3171">
-					<dim>1</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4412" name="Constant_433132" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4413" name="Constant_433125" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="2541" name="Constant_10201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4414" name="Constant_433127" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2542" name="Constant_10203" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4415" name="Constant_433129" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="2543" name="Constant_10205" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4416" name="Concat_433130" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2544" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -61983,42 +38119,41 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4417" name="Broadcast_433133" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="2082">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4418" name="ReadValue_417326" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2545" name="Constant_10214" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2083">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2546" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.19.key">
+				<port id="2" precision="FP32" names="2084">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62026,14 +38161,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4419" name="Constant_402004" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4420" name="Gather_402005" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2547" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62041,13 +38170,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="present.15.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62055,7 +38186,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4421" name="ShapeOf_339643" type="ShapeOf" version="opset3">
+		<layer id="2548" name="Constant_10596" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2549" name="ShapeOf_39294" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62071,54 +38210,85 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4422" name="Constant_339644" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="2550" name="Constant_39295" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4423" name="Constant_339645" type="Const" version="opset1">
+		<layer id="2551" name="Constant_39296" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4424" name="Gather_339646" type="Gather" version="opset8">
+		<layer id="2552" name="Gather_39297" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3173" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2553" name="ShapeOf_39298" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4425" name="Constant_337774" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2554" name="Constant_39299" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4426" name="Reshape_340943" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
+		<layer id="2555" name="Constant_39300" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
 				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2556" name="Gather_39301" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4427" name="__module.model.gpt_neox.layers.19.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="2557" name="Add_39302" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -62129,25 +38299,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3172,3176,3177,seq_len.77">
+				<port id="2" precision="I64" names="2131">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4428" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2558" name="Constant_10599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4429" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2559" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -62158,61 +38329,65 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3180,3183,cos.77">
+				<port id="5" precision="FP32" names="2135">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4430" name="Constant_38341" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4431" name="__module.model.gpt_neox.layers.19.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2560" name="__module.model.gpt_neox.layers.15.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="3186">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4432" name="__module.model.gpt_neox.layers.19.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3187,cos.79">
+				<port id="4" precision="FP32" names="2136,attn_output.121">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4433" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2561" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2562" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62220,1028 +38395,1029 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3191">
+				<port id="2" precision="FP32" names="2137">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4434" name="Constant_301087" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4435" name="Constant_301086" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2563" name="Constant_40550" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2630" name="Constant_10799" type="Const" version="opset1">
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@@ -63250,17 +39426,20 @@
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -63268,15 +39447,15 @@
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 			</output>
 		</layer>
-		<layer id="4506" name="Constant_11289" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2632" name="Constant_10808" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3165">
+				<port id="0" precision="I64" names="2189">
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 			</output>
 		</layer>
-		<layer id="4507" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2633" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63289,32 +39468,7 @@
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 			</input>
 			<output>
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-					<dim>80</dim>
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-			<output>
-				<port id="2" precision="FP32" names="present.19.value">
+				<port id="2" precision="FP32" names="2190,query.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63322,35 +39476,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="2634" name="Constant_10849" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3243">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4510" name="Constant_301312" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="2635" name="Constant_10851" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4511" name="Constant_301311" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2636" name="Constant_10853" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4512" name="ShapeOf_339648" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2637" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63358,50 +39508,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4513" name="Constant_339649" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4514" name="Constant_339650" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4515" name="Gather_339651" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="2197,q.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4516" name="Add_339652" type="Add" version="opset1">
+		<layer id="2638" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
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-			</output>
-		</layer>
-		<layer id="4517" name="ShapeOf_339719" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63409,82 +39539,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="4518" name="Constant_339720" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4519" name="Constant_339721" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4520" name="Gather_339722" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3236" />
-			</output>
-		</layer>
-		<layer id="4521" name="__module.model.gpt_neox.layers.19.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3240,3241" />
+				<port id="2" precision="FP32" names="2203">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4522" name="Constant_337780" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2639" name="Constant_11007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2640" name="Constant_11009" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4524" name="Constant_301310" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2641" name="Constant_11011" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4525" name="ScatterUpdate_301313" type="ScatterUpdate" version="opset3">
+		<layer id="2642" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -63492,139 +39593,89 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4526" name="Constant_301314" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="2213,x2.65">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4527" name="Constant_337782" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2643" name="Constant_37034" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="4528" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4529" name="ScatterUpdate_301315" type="ScatterUpdate" version="opset3">
+		<layer id="2644" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="4530" name="Constant_301318" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="4531" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
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-				<port id="0" precision="BOOL">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3244">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2214">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="4532" name="Constant_301391" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4533" name="Constant_301392" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2645" name="Constant_10904" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4534" name="Constant_301388" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="2646" name="Constant_10948" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4535" name="Constant_301387" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2647" name="Constant_10950" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4536" name="ScatterUpdate_301393" type="ScatterUpdate" version="opset3">
+		<layer id="2648" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -63632,182 +39683,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
 				<port id="4" precision="I64">
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-		<layer id="4537" name="Constant_301396" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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 					<dim>1</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3245,3246">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2208">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4539" name="__module.model.gpt_neox.layers.19.attention/aten::where/Convert_1" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="4540" name="__module.model.gpt_neox.layers.19.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="3233" />
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-		<layer id="4541" name="__module.model.gpt_neox.layers.19.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2649" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			<output>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4542" name="Add_316356" type="Add" version="opset1">
+		<layer id="2650" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
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 					<dim>-1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2217">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4543" name="ShapeOf_316357" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2651" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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 			<output>
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-			<output>
-				<port id="0" precision="I64">
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+				<port id="2" precision="FP32" names="2218,2236">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="2652" name="Constant_52486" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="3231">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4547" name="Constant_268151" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2653" name="Constant_52479" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="4548" name="Constant_268153" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2654" name="Constant_52481" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="4549" name="Constant_268155" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2655" name="Constant_52483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4550" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2656" name="Concat_52484" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -63824,51 +39821,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3248">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4551" name="Maximum_316358" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2657" name="Broadcast_52487" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4552" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2658" name="ReadValue_49766" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.16.keypresent.16.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3250">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.16.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4553" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2659" name="Constant_47425" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2660" name="Gather_47426" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63876,48 +39877,88 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="2661" name="Constant_10813" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2662" name="Constant_10815" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2663" name="Constant_10817" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2664" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_5" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3251,3252,sdpa_result.39,tensor.77">
+				<port id="5" precision="FP32" names="2191">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4554" name="Constant_11730" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2665" name="Constant_10826" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3253">
+				<port id="0" precision="I64" names="2192">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4555" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2666" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -63925,888 +39966,924 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3254">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="2193,key.65">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4556" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="2667" name="Constant_10869" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4557" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2668" name="Constant_10871" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2669" name="Constant_10873" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2670" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_6" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2199,k.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2671" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3259">
+				<port id="2" precision="FP32" names="2219">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 2560" offset="1652561028" size="6553600" />
+		<layer id="2672" name="Constant_11150" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4559" name="Convert_449702" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="2673" name="Constant_11152" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4560" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1659114628" size="2560" />
+		<layer id="2674" name="Constant_11154" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4561" name="Convert_449705" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2675" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4562" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="5" precision="FP32" names="2229,x2.67">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4563" name="self.model.gpt_neox.layers.19.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1659117188" size="5120" />
+		<layer id="2676" name="Constant_37035" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4564" name="self.model.gpt_neox.layers.19.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2677" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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 		</layer>
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+		<layer id="2727" name="__module.model.gpt_neox.layers.16.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -64815,7 +40892,7 @@
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@@ -64823,1275 +40900,1022 @@
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 		</layer>
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+		<layer id="2783" name="Constant_11427" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2784" name="Constant_11429" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>32</dim>
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+				<port id="5" precision="FP32" names="2300">
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 					<dim>-1</dim>
+					<dim>32</dim>
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 		</layer>
-		<layer id="4697" name="Constant_301551" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2786" name="Constant_11438" type="Const" version="opset1">
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 			<output>
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-			<data output_type="i64" />
+		<layer id="2787" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="I64">
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-				<port id="0" precision="I32" />
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2302,query.35">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="2788" name="Constant_11479" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="2789" name="Constant_11481" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="3359,3360,3364,3365" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4704" name="Constant_337788" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2790" name="Constant_11483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="2791" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
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-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2309,q.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4707" name="ScatterUpdate_301552" type="ScatterUpdate" version="opset3">
+		<layer id="2792" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2315">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4708" name="Constant_301555" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2793" name="Constant_11637" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="4709" name="Constant_301558" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2794" name="Constant_11639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2795" name="Constant_11641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4710" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2796" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66100,17 +41924,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2325,x2.69">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66118,8 +41945,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4711" name="Constant_325395" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="2797" name="Constant_37042" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66129,7 +41956,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4712" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2798" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66146,7 +41973,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3367">
+				<port id="2" precision="FP32" names="2326">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66154,24 +41981,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4713" name="Constant_301603" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2799" name="Constant_11534" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4714" name="Constant_301608" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2800" name="Constant_11578" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2801" name="Constant_11580" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4715" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2802" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66180,17 +42014,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3361">
+				<port id="5" precision="FP32" names="2320">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66198,7 +42035,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4716" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2803" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66215,7 +42052,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3369">
+				<port id="2" precision="FP32" names="2328">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66223,7 +42060,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4717" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2804" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66240,7 +42077,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3370">
+				<port id="2" precision="FP32" names="2329">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66248,7 +42085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4718" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2805" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66265,32 +42102,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3371,3375">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4719" name="__module.model.gpt_neox.layers.20.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.20.key">
+				<port id="2" precision="FP32" names="2330,2348">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66298,13 +42110,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4720" name="Constant_433171" type="Const" version="opset1">
+		<layer id="2806" name="Constant_52510" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4721" name="Constant_433164" type="Const" version="opset1">
+		<layer id="2807" name="Constant_52503" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -66312,7 +42124,7 @@
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 			</output>
 		</layer>
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 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -66320,7 +42132,7 @@
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 			</output>
 		</layer>
-		<layer id="4723" name="Constant_433168" type="Const" version="opset1">
+		<layer id="2809" name="Constant_52507" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -66328,7 +42140,7 @@
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 			</output>
 		</layer>
-		<layer id="4724" name="Concat_433169" type="Concat" version="opset1">
+		<layer id="2810" name="Concat_52508" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -66350,7 +42162,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4725" name="Broadcast_433172" type="Broadcast" version="opset3">
+		<layer id="2811" name="Broadcast_52511" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -66367,8 +42179,8 @@
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 		</layer>
-		<layer id="4726" name="ReadValue_417336" type="ReadValue" version="opset6">
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+		<layer id="2812" name="ReadValue_49770" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66378,7 +42190,7 @@
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.17.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66386,13 +42198,13 @@
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 			</output>
 		</layer>
-		<layer id="4727" name="Constant_402013" type="Const" version="opset1">
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 			<data element_type="i64" shape="" offset="4" size="8" />
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 			</output>
 		</layer>
-		<layer id="4728" name="Gather_402014" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66415,32 +42227,31 @@
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 		</layer>
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+		<layer id="2815" name="Constant_11443" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2816" name="Constant_11445" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2817" name="Constant_11447" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2818" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66449,17 +42260,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2303">
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -66467,15 +42281,15 @@
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 		</layer>
-		<layer id="4733" name="Constant_11870" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2819" name="Constant_11456" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="2304">
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 			</output>
 		</layer>
-		<layer id="4734" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2820" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -66488,32 +42302,7 @@
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 			</input>
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-			<output>
-				<port id="2" precision="FP32" names="present.20.value">
+				<port id="2" precision="FP32" names="2305,key.69">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66521,86 +42310,31 @@
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 			</output>
 		</layer>
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-		<layer id="4737" name="Constant_301663" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="2821" name="Constant_11499" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2822" name="Constant_11501" type="Const" version="opset1">
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-		<layer id="4740" name="Constant_339740" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="2823" name="Constant_11503" type="Const" version="opset1">
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 			<output>
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-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-			<output>
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-		</layer>
-		<layer id="4744" name="ShapeOf_339810" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2824" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -66608,222 +42342,84 @@
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 					<dim>80</dim>
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 				<port id="2" precision="I64">
 					<dim>1</dim>
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-		<layer id="4763" name="ScatterUpdate_301744" type="ScatterUpdate" version="opset3">
+		<layer id="2829" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -66831,186 +42427,89 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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-			<output>
 				<port id="4" precision="I64">
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2341,x2.71">
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4767" name="__module.model.gpt_neox.layers.20.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
+		<layer id="2830" name="Constant_37043" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="3382" />
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-		</layer>
-		<layer id="4768" name="__module.model.gpt_neox.layers.20.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
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 					<dim>1</dim>
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-					<dim>-1</dim>
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 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="4769" name="Add_316428" type="Add" version="opset1">
+		<layer id="2831" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
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 				<port id="1" precision="FP32">
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-		<layer id="4772" name="Constant_339817" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4773" name="Gather_339818" type="Gather" version="opset8">
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2342">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4774" name="Constant_268161" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2832" name="Constant_11677" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4775" name="Constant_268163" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2833" name="Constant_11721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4776" name="Constant_268165" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2834" name="Constant_11723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4777" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2835" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -67021,53 +42520,46 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="3397">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4778" name="Maximum_316430" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2336">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4779" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2836" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3399">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2344">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4780" name="__module.model.gpt_neox.layers.20.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2837" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67076,26 +42568,14 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3400,3401,sdpa_result.41,tensor.81">
+				<port id="2" precision="FP32" names="2345">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -67103,15 +42583,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4781" name="Constant_12311" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3402">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4782" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2838" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67119,531 +42592,549 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3403">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="2346,2350">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4783" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4784" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2839" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3408">
+				<port id="2" precision="FP32" names="present.17.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4785" name="self.model.gpt_neox.layers.20.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1731406468" size="6553600" />
+		<layer id="2840" name="Constant_52522" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4786" name="Convert_449746" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="2841" name="Constant_52515" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4787" name="self.model.gpt_neox.layers.20.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1737960068" size="2560" />
+		<layer id="2842" name="Constant_52517" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4788" name="Convert_449749" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2843" name="Constant_52519" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4789" name="self.model.gpt_neox.layers.20.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2844" name="Concat_52520" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
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-		<layer id="4790" name="self.model.gpt_neox.layers.20.attention.dense.weight/scale" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4791" name="self.model.gpt_neox.layers.20.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2845" name="Broadcast_52523" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP16">
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-					<dim>2560</dim>
-				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+				<port id="2" precision="FP32" names="2361">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4814" name="__module.model.gpt_neox.layers.20.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="2871" name="Constant_40552" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2872" name="__module.model.gpt_neox.layers.17.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2364">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4815" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1764284548" size="26214400" />
+		<layer id="2873" name="self.model.gpt_neox.layers.17.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1488929928" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4816" name="Convert_449768" type="Convert" version="opset1">
+		<layer id="2874" name="Convert_74538" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4817" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1790498948" size="2560" />
+		<layer id="2875" name="self.model.gpt_neox.layers.17.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1495483528" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -67651,7 +43142,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4818" name="Convert_449771" type="Convert" version="opset1">
+		<layer id="2876" name="Convert_74541" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -67666,12 +43157,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4819" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2877" name="self.model.gpt_neox.layers.17.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -67681,12 +43172,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4820" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1790501508" size="5120" />
+		<layer id="2878" name="self.model.gpt_neox.layers.17.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1495486088" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -67694,12 +43185,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4821" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2879" name="self.model.gpt_neox.layers.17.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -67709,36 +43200,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4822" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2880" name="self.model.gpt_neox.layers.17.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4823" name="__module.model.gpt_neox.layers.20.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2881" name="__module.model.gpt_neox.layers.17.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -67749,8 +43240,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4824" name="Constant_325400" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1790506628" size="10240" />
+		<layer id="2882" name="Constant_37044" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1495491208" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67759,7 +43250,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4825" name="__module.model.gpt_neox.layers.20.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2883" name="__module.model.gpt_neox.layers.17.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67774,14 +43265,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3430,input.85">
+				<port id="2" precision="FP32" names="2367,2369,input.69">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4826" name="__module.model.gpt_neox.layers.20/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2884" name="__module.model.gpt_neox.layers.17/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67796,14 +43287,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3432,3434,hidden_states.43">
+				<port id="2" precision="FP32" names="2373,attn_output.143">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4827" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2885" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -67811,7 +43302,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4828" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2886" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67831,8 +43322,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4829" name="Constant_325401" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1790516868" size="10240" />
+		<layer id="2887" name="Constant_37045" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1495501448" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67841,7 +43332,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4830" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2888" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67863,8 +43354,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4831" name="Constant_325402" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1790527108" size="10240" />
+		<layer id="2889" name="Constant_37046" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1495511688" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67873,7 +43364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4832" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2890" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67888,124 +43379,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3444">
+				<port id="2" precision="FP32" names="2377">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4833" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="1790537348" size="19660800" />
+		<layer id="2891" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1495521928" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4834" name="Convert_449779" type="Convert" version="opset1">
+		<layer id="2892" name="Convert_73699" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4835" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1810198148" size="7680" />
+		<layer id="2893" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1521736328" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4836" name="Convert_449782" type="Convert" version="opset1">
+		<layer id="2894" name="Convert_73702" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4837" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2895" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4838" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1810205828" size="15360" />
+		<layer id="2896" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1521746568" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4839" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2897" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4840" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2898" name="__module.model.gpt_neox.layers.17.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4841" name="__module.model.gpt_neox.layers.21.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2899" name="__module.model.gpt_neox.layers.17.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68014,7 +43508,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -68022,1240 +43516,669 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4842" name="Constant_325403" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1810221188" size="30720" />
-			<output>
-				<port id="0" precision="FP32">
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-					<dim>1</dim>
-					<dim>7680</dim>
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-			</output>
-		</layer>
-		<layer id="4843" name="__module.model.gpt_neox.layers.21.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>7680</dim>
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+		<layer id="2935" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape" type="Reshape" version="opset1">
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-				<port id="0" precision="FP32">
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+					<dim>80</dim>
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 		</layer>
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-				<port id="1" precision="I64" />
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 		</layer>
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+					<dim>80</dim>
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 				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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-			</input>
+		<layer id="2943" name="Constant_12111" type="Const" version="opset1">
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 				</port>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2944" name="Constant_12113" type="Const" version="opset1">
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-				<port id="0" precision="I32">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4934" name="ScatterUpdate_301903" type="ScatterUpdate" version="opset3">
+		<layer id="2945" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -69263,34 +44186,72 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2946" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2427">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4935" name="Constant_301906" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2947" name="Constant_12267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4936" name="Constant_301909" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2948" name="Constant_12269" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2949" name="Constant_12271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4937" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2950" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69299,17 +44260,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3515,x2.87">
+				<port id="5" precision="FP32" names="2437,x2.73">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69317,8 +44281,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4938" name="Constant_325405" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="2951" name="Constant_37050" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -69328,7 +44292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4939" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2952" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69345,7 +44309,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3516">
+				<port id="2" precision="FP32" names="2438">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69353,24 +44317,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4940" name="Constant_301954" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="2953" name="Constant_12164" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4941" name="Constant_301959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2954" name="Constant_12208" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2955" name="Constant_12210" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4942" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2956" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69379,17 +44350,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3510">
+				<port id="5" precision="FP32" names="2432">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69397,7 +44371,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4943" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2957" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69414,7 +44388,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3518">
+				<port id="2" precision="FP32" names="2440">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69422,7 +44396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4944" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2958" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69439,7 +44413,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3519">
+				<port id="2" precision="FP32" names="2441">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69447,7 +44421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4945" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2959" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69464,32 +44438,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3520,3524">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4946" name="__module.model.gpt_neox.layers.21.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.21.key">
+				<port id="2" precision="FP32" names="2442,2460">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69497,13 +44446,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4947" name="Constant_433197" type="Const" version="opset1">
+		<layer id="2960" name="Constant_52534" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4948" name="Constant_433190" type="Const" version="opset1">
+		<layer id="2961" name="Constant_52527" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69511,7 +44460,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4949" name="Constant_433192" type="Const" version="opset1">
+		<layer id="2962" name="Constant_52529" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69519,7 +44468,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4950" name="Constant_433194" type="Const" version="opset1">
+		<layer id="2963" name="Constant_52531" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69527,7 +44476,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4951" name="Concat_433195" type="Concat" version="opset1">
+		<layer id="2964" name="Concat_52532" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -69549,7 +44498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4952" name="Broadcast_433198" type="Broadcast" version="opset3">
+		<layer id="2965" name="Broadcast_52535" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -69566,8 +44515,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4953" name="ReadValue_417340" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.21.valuepresent.21.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2966" name="ReadValue_49774" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.18.keypresent.18.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69577,7 +44526,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.21.value">
+				<port id="1" precision="FP32" names="past_key_values.18.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69585,13 +44534,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4954" name="Constant_402019" type="Const" version="opset1">
+		<layer id="2967" name="Constant_47437" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4955" name="Gather_402020" type="Gather" version="opset8">
+		<layer id="2968" name="Gather_47438" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69614,32 +44563,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4956" name="Constant_302004" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="2969" name="Constant_12073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4957" name="Constant_302007" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="2970" name="Constant_12075" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4958" name="Constant_302010" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="2971" name="Constant_12077" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4959" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2972" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69648,17 +44596,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3462">
+				<port id="5" precision="FP32" names="2415">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -69666,15 +44617,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4960" name="Constant_12451" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="2973" name="Constant_12086" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3463">
+				<port id="0" precision="I64" names="2416">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4961" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2974" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69687,32 +44638,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3464">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4962" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.21.value">
+				<port id="2" precision="FP32" names="2417,key.73">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69720,35 +44646,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4963" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="2975" name="Constant_12129" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3541">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4964" name="Constant_302014" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="2976" name="Constant_12131" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4965" name="Constant_302013" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="2977" name="Constant_12133" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4966" name="ShapeOf_339830" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2978" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69756,50 +44678,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4967" name="Constant_339831" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
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 		</layer>
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+					<dim>-1</dim>
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+		<layer id="2982" name="Constant_12414" type="Const" version="opset1">
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 					<dim>1</dim>
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+		<layer id="2984" name="Constant_37051" type="Const" version="opset1">
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+					<dim>-1</dim>
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 				<port id="1" precision="I64">
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@@ -70030,182 +44853,153 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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-			<output>
 				<port id="4" precision="I64">
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-		<layer id="4991" name="Constant_302098" type="Const" version="opset1">
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
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+		<layer id="2990" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 			<input>
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-				<port id="2" precision="I64">
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+					<dim>32</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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-		<layer id="5001" name="Constant_268171" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2995" name="Constant_52539" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5002" name="Constant_268173" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2996" name="Constant_52541" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5003" name="Constant_268175" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="2997" name="Constant_52543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5004" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2998" name="Concat_52544" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -70222,42 +45016,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3546">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5005" name="Maximum_316502" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2999" name="Broadcast_52547" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3000" name="ReadValue_49776" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.18.valuepresent.18.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.18.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3001" name="Constant_47440" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3002" name="Gather_47441" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3003" name="Constant_12091" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3004" name="Constant_12093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3005" name="Constant_12095" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3006" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2418">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3007" name="Constant_12104" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2419">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="3008" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2420">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5006" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3009" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.18.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3010" name="Constant_12486" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3011" name="ShapeOf_39513" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="3012" name="Constant_39514" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3013" name="Constant_39515" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3014" name="Gather_39516" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3548">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3015" name="ShapeOf_39517" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3016" name="Constant_39518" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3017" name="Constant_39519" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3018" name="Gather_39520" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3019" name="Add_39521" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="2467">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3020" name="Constant_12489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3021" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2471">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -70265,7 +45350,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5007" name="__module.model.gpt_neox.layers.21.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3022" name="__module.model.gpt_neox.layers.18.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70294,7 +45379,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3549,3550,sdpa_result.43,tensor.85">
+				<port id="4" precision="FP32" names="2472,attn_output.145">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -70302,15 +45387,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5008" name="Constant_12892" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3023" name="__module.model.gpt_neox.layers.18.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3551">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5009" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3024" name="__module.model.gpt_neox.layers.18.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70318,12 +45403,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3552">
+				<port id="2" precision="FP32" names="2473">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -70331,15 +45416,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5010" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="3025" name="Constant_40553" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5011" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3026" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70353,15 +45438,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3557">
+				<port id="2" precision="FP32" names="2476">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5012" name="self.model.gpt_neox.layers.21.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="1810251908" size="6553600" />
+		<layer id="3027" name="self.model.gpt_neox.layers.18.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1567749768" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70369,7 +45454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5013" name="Convert_449790" type="Convert" version="opset1">
+		<layer id="3028" name="Convert_74549" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70384,8 +45469,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5014" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1816805508" size="2560" />
+		<layer id="3029" name="self.model.gpt_neox.layers.18.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1574303368" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70393,7 +45478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5015" name="Convert_449793" type="Convert" version="opset1">
+		<layer id="3030" name="Convert_74552" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70408,7 +45493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5016" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3031" name="self.model.gpt_neox.layers.18.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70427,8 +45512,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5017" name="self.model.gpt_neox.layers.21.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1816808068" size="5120" />
+		<layer id="3032" name="self.model.gpt_neox.layers.18.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1574305928" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -70436,7 +45521,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5018" name="self.model.gpt_neox.layers.21.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3033" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70455,7 +45540,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5019" name="self.model.gpt_neox.layers.21.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3034" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70470,7 +45555,7 @@
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 			</output>
 		</layer>
-		<layer id="5020" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3035" name="__module.model.gpt_neox.layers.18.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70491,8 +45576,8 @@
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 			</output>
 		</layer>
-		<layer id="5021" name="Constant_325406" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1816813188" size="10240" />
+		<layer id="3036" name="Constant_37052" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1574311048" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70501,7 +45586,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5022" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3037" name="__module.model.gpt_neox.layers.18.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70516,14 +45601,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3560,3562,input.87">
+				<port id="2" precision="FP32" names="2479,2481,input.73">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5023" name="__module.model.gpt_neox.layers.21/aten::add/Add" type="Add" version="opset1">
+		<layer id="3038" name="__module.model.gpt_neox.layers.18/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70538,14 +45623,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3566,attn_output.87">
+				<port id="2" precision="FP32" names="2485,attn_output.151">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5024" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3039" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -70553,7 +45638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5025" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3040" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70573,8 +45658,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5026" name="Constant_325407" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1816823428" size="10240" />
+		<layer id="3041" name="Constant_37053" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1574321288" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70583,7 +45668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5027" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3042" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70605,8 +45690,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5028" name="Constant_325408" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1816833668" size="10240" />
+		<layer id="3043" name="Constant_37054" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1574331528" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -70615,7 +45700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5029" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3044" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70630,15 +45715,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3570">
+				<port id="2" precision="FP32" names="2489">
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5030" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1816843908" size="26214400" />
+		<layer id="3045" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1574341768" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -70646,7 +45731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5031" name="Convert_449801" type="Convert" version="opset1">
+		<layer id="3046" name="Convert_73719" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70661,8 +45746,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5032" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1843058308" size="10240" />
+		<layer id="3047" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1600556168" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -70670,7 +45755,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5033" name="Convert_449804" type="Convert" version="opset1">
+		<layer id="3048" name="Convert_73722" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70685,7 +45770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5034" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3049" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70704,8 +45789,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5035" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1843068548" size="20480" />
+		<layer id="3050" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1600566408" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -70713,7 +45798,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5036" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3051" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70732,8 +45817,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5037" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3052" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -70747,7 +45835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5038" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3053" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70768,17 +45856,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5039" name="Constant_325409" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1843089028" size="40960" />
+		<layer id="3054" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1600586888" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3055" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5040" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3056" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70787,20 +45889,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3575">
+				<port id="2" precision="FP32" names="2494">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5041" name="__module.model.gpt_neox.layers.21.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3057" name="__module.model.gpt_neox.layers.18.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70810,15 +45910,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3576">
+				<port id="1" precision="FP32" names="2495">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5042" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="1843129988" size="26214400" />
+		<layer id="3058" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1600607368" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70826,7 +45926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5043" name="Convert_449812" type="Convert" version="opset1">
+		<layer id="3059" name="Convert_73729" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70841,8 +45941,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5044" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="1869344388" size="2560" />
+		<layer id="3060" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1626821768" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -70850,7 +45950,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5045" name="Convert_449815" type="Convert" version="opset1">
+		<layer id="3061" name="Convert_73732" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -70865,7 +45965,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5046" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3062" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70884,8 +45984,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5047" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="1869346948" size="5120" />
+		<layer id="3063" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1626824328" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -70893,7 +45993,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5048" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3064" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -70912,8 +46012,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5049" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3065" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -70927,7 +46030,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5050" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3066" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70948,17 +46051,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5051" name="Constant_325410" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1869352068" size="10240" />
+		<layer id="3067" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1626829448" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5052" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3068" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3069" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70967,20 +46084,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3579,input.89">
+				<port id="2" precision="FP32" names="2498,input.75">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
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-		<layer id="5053" name="__module.model.gpt_neox.layers.21/aten::add/Add_1" type="Add" version="opset1">
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@@ -70995,14 +46110,14 @@
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 			<data element_type="i32" shape="1" offset="129257244" size="4" />
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@@ -71010,7 +46125,7 @@
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 			</output>
 		</layer>
-		<layer id="5055" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3072" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -71030,8 +46145,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 2560" offset="1869362308" size="10240" />
+		<layer id="3073" name="Constant_37055" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -71040,7 +46155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5057" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3074" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71062,8 +46177,8 @@
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 		</layer>
-		<layer id="5058" name="Constant_325412" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1869372548" size="10240" />
+		<layer id="3075" name="Constant_37056" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1626844808" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -71072,7 +46187,7 @@
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 			</output>
 		</layer>
-		<layer id="5059" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3076" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71087,15 +46202,15 @@
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2512,hidden_states.77">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u8" shape="7680, 2560" offset="1869382788" size="19660800" />
+		<layer id="3077" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="1626855048" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -71103,7 +46218,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5061" name="Convert_449823" type="Convert" version="opset1">
+		<layer id="3078" name="Convert_74208" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71118,8 +46233,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5062" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="1889043588" size="7680" />
+		<layer id="3079" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="1646515848" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -71127,7 +46242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5063" name="Convert_449826" type="Convert" version="opset1">
+		<layer id="3080" name="Convert_74211" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -71142,7 +46257,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5064" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3081" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71161,8 +46276,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5065" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="1889051268" size="15360" />
+		<layer id="3082" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="1646523528" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -71170,7 +46285,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5066" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3083" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71189,7 +46304,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5067" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3084" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -71204,7 +46319,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5068" name="__module.model.gpt_neox.layers.22.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3085" name="__module.model.gpt_neox.layers.19.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71225,8 +46340,8 @@
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 			</output>
 		</layer>
-		<layer id="5069" name="Constant_325413" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1889066628" size="30720" />
+		<layer id="3086" name="Constant_37057" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="1646538888" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -71235,7 +46350,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5070" name="__module.model.gpt_neox.layers.22.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3087" name="__module.model.gpt_neox.layers.19.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71250,14 +46365,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3600,qkv.89">
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 					<dim>-1</dim>
 					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="5071" name="__module.model.gpt_neox.layers.22.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="3088" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -71265,7 +46380,7 @@
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 			</output>
 		</layer>
-		<layer id="5072" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3089" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71278,7 +46393,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3604,qkv.91">
+				<port id="2" precision="FP32" names="2523,qkv.79">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -71286,32 +46401,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5073" name="Constant_302105" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3090" name="Constant_12685" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="5074" name="Constant_302108" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3091" name="Constant_12687" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="5075" name="Constant_302111" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3092" name="Constant_12689" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5076" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3093" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71320,17 +46434,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3605">
+				<port id="5" precision="FP32" names="2524">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -71338,15 +46455,15 @@
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 			</output>
 		</layer>
-		<layer id="5077" name="Constant_13004" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3094" name="Constant_12698" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3606">
+				<port id="0" precision="I64" names="2525">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5078" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3095" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71359,7 +46476,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3607,query.133">
+				<port id="2" precision="FP32" names="2526,query.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71367,32 +46484,31 @@
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 			</output>
 		</layer>
-		<layer id="5079" name="Constant_302117" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3096" name="Constant_12739" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5080" name="Constant_302120" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3097" name="Constant_12741" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5081" name="Constant_302123" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3098" name="Constant_12743" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5082" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3099" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71401,17 +46517,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3614,q.45">
+				<port id="5" precision="FP32" names="2533,q.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71419,157 +46538,152 @@
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 			</output>
 		</layer>
-		<layer id="5083" name="self.model.gpt_neox.layers.22.attention.rotary_emb.cos_cached" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.22.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="3100" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="5084" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2539">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5085" name="Constant_302129" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3101" name="Constant_12897" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="5086" name="Constant_302132" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="3102" name="Constant_12899" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5087" name="Constant_302135" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3103" name="Constant_12901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 		</layer>
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+					<dim>40</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3105" name="Constant_37058" type="Const" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="5092" name="Gather_339914" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3106" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="3618">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2550">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-		<layer id="5094" name="Constant_433203" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="3107" name="Constant_12794" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5095" name="Constant_433205" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3108" name="Constant_12838" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5096" name="Constant_433207" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="3109" name="Constant_12840" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5097" name="Concat_433208" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3110" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -71580,42 +46694,37 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-			</output>
-		</layer>
-		<layer id="5098" name="Broadcast_433211" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="2544">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5099" name="ReadValue_417342" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.22.keypresent.22.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3111" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.22.key">
+				<port id="2" precision="FP32" names="2552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71623,14 +46732,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5100" name="Constant_402022" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5101" name="Gather_402023" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3112" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71638,13 +46741,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="2553">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71652,8 +46757,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5102" name="ShapeOf_339916" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3113" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71661,90 +46766,57 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2554,2572">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5103" name="Constant_339917" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5104" name="Constant_339918" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5105" name="Gather_339919" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="3114" name="Constant_52558" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="3620" />
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5106" name="Constant_337804" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3115" name="Constant_52551" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3116" name="Constant_52553" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5108" name="__module.model.gpt_neox.layers.22.attention/aten::add_/Add" type="Add" version="opset1">
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-			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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-			</input>
-			<output>
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 			</output>
 		</layer>
-		<layer id="5109" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3117" name="Constant_52555" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5110" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3118" name="Concat_52556" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -71757,59 +46829,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3627,3630,cos.89">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5111" name="Constant_38359" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5112" name="__module.model.gpt_neox.layers.22.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3119" name="Broadcast_52559" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3633">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5113" name="__module.model.gpt_neox.layers.22.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3120" name="ReadValue_49778" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3634,cos.91">
+				<port id="1" precision="FP32" names="past_key_values.19.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5114" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3121" name="Constant_47443" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3122" name="Gather_47444" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71817,15 +46885,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3638">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71833,144 +46899,193 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5115" name="Constant_302140" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3123" name="Constant_12703" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3124" name="Constant_12705" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5116" name="Constant_302139" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3125" name="Constant_12707" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="3126" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="3127" name="Constant_12716" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64" names="2528">
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3128" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 					<dim>4</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2529,key.77">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="3129" name="Constant_12759" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="3130" name="Constant_12761" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="3641,3642,3646,3647" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5122" name="Constant_337806" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3131" name="Constant_12763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="3132" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
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 				<port id="2" precision="I64">
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-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2535,k.39">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5125" name="ScatterUpdate_302141" type="ScatterUpdate" version="opset3">
+		<layer id="3133" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2555">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5126" name="Constant_302144" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="3134" name="Constant_13040" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5127" name="Constant_302147" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3135" name="Constant_13042" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5128" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3136" name="Constant_13044" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3137" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71979,17 +47094,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3648,x2.89">
+				<port id="5" precision="FP32" names="2565,x2.79">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71997,8 +47115,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5129" name="Constant_325414" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3138" name="Constant_37059" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -72008,7 +47126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5130" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3139" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72025,7 +47143,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3649">
+				<port id="2" precision="FP32" names="2566">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72033,24 +47151,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5131" name="Constant_302192" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3140" name="Constant_12937" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5132" name="Constant_302197" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3141" name="Constant_12981" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3142" name="Constant_12983" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5133" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3143" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72059,17 +47184,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3643">
+				<port id="5" precision="FP32" names="2560">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72077,7 +47205,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5134" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="3144" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72094,7 +47222,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3651">
+				<port id="2" precision="FP32" names="2568">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72102,102 +47230,58 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5135" name="self.model.gpt_neox.layers.22.attention.rotary_emb.sin_cached" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.22.attention.rotary_emb.sin_cached">
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-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5136" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5137" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5138" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3145" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3628,3631,sin.89">
 					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5139" name="Constant_38362" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5140" name="__module.model.gpt_neox.layers.22.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3636">
+				<port id="2" precision="FP32" names="2569">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5141" name="__module.model.gpt_neox.layers.22.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3146" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3637,sin.91">
+				<port id="2" precision="FP32" names="2570,2574">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5142" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3147" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72207,13 +47291,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3652">
+				<port id="2" precision="FP32" names="present.19.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72221,24 +47305,87 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5143" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3148" name="Constant_52570" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3149" name="Constant_52563" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3150" name="Constant_52565" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3151" name="Constant_52567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3152" name="Concat_52568" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3153" name="Broadcast_52571" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3154" name="ReadValue_49780" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3653,3671,3681,query.135,query.137">
+				<port id="1" precision="FP32" names="past_key_values.19.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72246,28 +47393,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5144" name="Constant_13018" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3155" name="Constant_47446" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3609">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5145" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3156" name="Gather_47447" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3610,key.133">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72275,51 +47422,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5146" name="Constant_302243" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3157" name="Constant_12721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5147" name="Constant_302246" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3158" name="Constant_12723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5148" name="Constant_302249" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3159" name="Constant_12725" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5149" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3160" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2530">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3161" name="Constant_12734" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2531">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3162" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3616,k.45">
+				<port id="2" precision="FP32" names="2532">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72327,8 +47505,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5150" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3163" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72338,13 +47516,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3654">
+				<port id="2" precision="FP32" names="present.19.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72352,23 +47530,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5151" name="Constant_302253" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5152" name="Constant_302252" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3164" name="Constant_13116" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5153" name="__module.model.gpt_neox.layers.22.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
+		<layer id="3165" name="ShapeOf_39586" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72384,77 +47554,115 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5154" name="__module.model.gpt_neox.layers.22.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="3166" name="Constant_39587" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3167" name="Constant_39588" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5155" name="__module.model.gpt_neox.layers.22.attention/aten::size/Gather_7" type="Gather" version="opset8">
+		<layer id="3168" name="Gather_39589" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3655,3660" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5156" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="3169" name="ShapeOf_39590" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5157" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="3170" name="Constant_39591" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="1" precision="I64" names="3657,3658,3662,3663" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5158" name="Constant_337808" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3171" name="Constant_39592" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3172" name="Gather_39593" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5159" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3173" name="Add_39594" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="2579">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5160" name="Constant_302251" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3174" name="Constant_13119" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5161" name="ScatterUpdate_302254" type="ScatterUpdate" version="opset3">
+		<layer id="3175" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -72462,34 +47670,68 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2583">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5162" name="Constant_302257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="3176" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="FP32" names="2584,attn_output.153">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5163" name="Constant_302260" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3177" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5164" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3178" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72497,918 +47739,1035 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3664,x2.91">
+				<port id="2" precision="FP32" names="2585">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5165" name="Constant_325415" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3179" name="Constant_40554" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5166" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3180" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2588">
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="FP32">
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-			<data auto_broadcast="numpy" />
+		<layer id="3238" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
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+		<layer id="3244" name="Constant_13315" type="Const" version="opset1">
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+		<layer id="3245" name="Constant_13317" type="Const" version="opset1">
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+		<layer id="3246" name="Constant_13319" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -73419,53 +48778,73 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+					<dim>-1</dim>
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 		</layer>
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-				<port id="1" precision="I64">
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-				</port>
-			</input>
+		<layer id="3248" name="Constant_13328" type="Const" version="opset1">
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-			<data mode="numpy" />
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data causal="false" />
+		<layer id="3250" name="Constant_13369" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="3251" name="Constant_13371" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="3252" name="Constant_13373" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		<layer id="3253" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -73473,27 +48852,46 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
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@@ -74519,17 +49791,20 @@
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 					<dim>-1</dim>
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@@ -74537,15 +49812,15 @@
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 				<port id="0" precision="FP32">
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@@ -74558,7 +49833,7 @@
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 					<dim>32</dim>
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@@ -74566,32 +49841,8 @@
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@@ -74599,35 +49850,23 @@
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 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.23.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="present.20.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5311" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="3318" name="Constant_13746" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -74635,65 +49874,60 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5312" name="Constant_302480" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3319" name="ShapeOf_39659" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5313" name="Constant_302483" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="3320" name="Constant_39660" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5314" name="Constant_302486" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3321" name="Constant_39661" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5315" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3322" name="Gather_39662" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3757">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5316" name="ShapeOf_340002" type="ShapeOf" version="opset3">
+		<layer id="3323" name="ShapeOf_39663" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
@@ -74703,21 +49937,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5317" name="Constant_341039" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3324" name="Constant_39664" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5318" name="Constant_340004" type="Const" version="opset1">
+		<layer id="3325" name="Constant_39665" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5319" name="Gather_340005" type="Gather" version="opset8">
+		<layer id="3326" name="Gather_39666" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -74729,46 +49963,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3767">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5320" name="Constant_433236" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="5321" name="Constant_433229" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
+		<layer id="3327" name="Add_39667" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5322" name="Constant_433231" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="2691">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5323" name="Constant_433233" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="3328" name="Constant_13749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5324" name="Concat_433234" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3329" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -74779,42 +50009,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2695">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5325" name="Broadcast_433237" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3330" name="__module.model.gpt_neox.layers.20.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5326" name="ReadValue_417346" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.23.keypresent.23.key" variable_type="f32" variable_shape="?,32,?,80" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.23.key">
+				<port id="4" precision="FP32" names="2696,attn_output.161">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -74822,14 +50059,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5327" name="Constant_402028" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3331" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5328" name="Gather_402029" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3332" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -74838,1098 +50076,1034 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="2697">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5329" name="ShapeOf_340007" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3333" name="Constant_40555" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3334" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5330" name="Constant_340008" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="2700">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5331" name="Constant_340009" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3335" name="self.model.gpt_neox.layers.20.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1725389448" size="6553600" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5332" name="Gather_340010" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3336" name="Convert_74571" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3769" />
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5333" name="Constant_337814" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3337" name="self.model.gpt_neox.layers.20.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1731943048" size="2560" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U8">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5334" name="Reshape_340951" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3338" name="Convert_74574" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="U8">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5335" name="__module.model.gpt_neox.layers.23.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="3339" name="self.model.gpt_neox.layers.20.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3768,3772,3773,seq_len.93">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5336" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3340" name="self.model.gpt_neox.layers.20.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1731945608" size="5120" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5337" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3341" name="self.model.gpt_neox.layers.20.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>80</dim>
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-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3776,3779,cos.93">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5338" name="Constant_38365" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="3342" name="self.model.gpt_neox.layers.20.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3343" name="__module.model.gpt_neox.layers.20.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3782">
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 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
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@@ -75940,71 +51114,41 @@
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 		</layer>
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 					<dim>-1</dim>
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 					<dim>32</dim>
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@@ -76012,80 +51156,53 @@
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2757,q.43">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76093,8 +51210,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5416" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="3408" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76104,13 +51221,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.23.value">
+				<port id="2" precision="FP32" names="2763">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76118,35 +51235,31 @@
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 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="3409" name="Constant_14157" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3839">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>2048</dim>
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 			</output>
 		</layer>
-		<layer id="5418" name="Constant_302716" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="3410" name="Constant_14159" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5419" name="Constant_302715" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="3411" name="Constant_14161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5420" name="ShapeOf_340012" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3412" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76154,133 +51267,95 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-		</layer>
-		<layer id="5421" name="Constant_340013" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		<layer id="5422" name="Constant_340014" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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-			<output>
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-		</layer>
-		<layer id="5424" name="Add_340016" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
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-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="5" precision="FP32" names="2773,x2.85">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5426" name="Constant_340084" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5427" name="Constant_340085" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3413" name="Constant_37074" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3832" />
 			</output>
 		</layer>
-		<layer id="5429" name="__module.model.gpt_neox.layers.23.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="3414" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3836,3837" />
+				<port id="2" precision="FP32" names="2774">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5430" name="Constant_337820" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3415" name="Constant_14054" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3416" name="Constant_14098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5432" name="Constant_302714" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3417" name="Constant_14100" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5433" name="ScatterUpdate_302717" type="ScatterUpdate" version="opset3">
+		<layer id="3418" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -76288,139 +51363,132 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-		</layer>
-		<layer id="5434" name="Constant_302718" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5435" name="Constant_337822" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2768">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="3419" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2776">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5437" name="ScatterUpdate_302719" type="ScatterUpdate" version="opset3">
+		<layer id="3420" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5438" name="Constant_302722" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="2777">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3421" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3840">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2778,2796">
 					<dim>-1</dim>
-					<dim>2048</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5440" name="Constant_302795" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3422" name="Constant_52606" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5441" name="Constant_302796" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3423" name="Constant_52599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5442" name="Constant_302792" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3424" name="Constant_52601" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5443" name="Constant_302791" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3425" name="Constant_52603" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5444" name="ScatterUpdate_302797" type="ScatterUpdate" version="opset3">
+		<layer id="3426" name="Concat_52604" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -76428,7 +51496,7 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
@@ -76438,176 +51506,185 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5445" name="Constant_302800" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3427" name="Broadcast_52607" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5446" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3428" name="ReadValue_49790" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.21.keypresent.21.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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 		</layer>
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 		</layer>
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 			<output>
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 			</output>
 		</layer>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="3437" name="Constant_14019" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3438" name="Constant_14021" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3439" name="Constant_14023" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="3440" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -76618,53 +51695,21 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2759,k.43">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="3441" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76674,41 +51719,45 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2779">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="3442" name="Constant_14300" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
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+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3443" name="Constant_14302" type="Const" version="opset1">
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 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5462" name="Constant_14054" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3444" name="Constant_14304" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3849">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5463" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3445" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76717,892 +51766,804 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3850">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2789,x2.87">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="3446" name="Constant_37075" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="3447" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
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 				</port>
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-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="U8">
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-					<dim>2560</dim>
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 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="U8">
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-					<dim>2560</dim>
-				</port>
-			</input>
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 			<output>
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-					<dim>2560</dim>
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 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="1974496388" size="2560" />
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 			<output>
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+				<port id="0" precision="I64">
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 		</layer>
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-				<port id="0" precision="U8">
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+		<layer id="3450" name="Constant_14243" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3451" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_8" type="Slice" version="opset8">
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@@ -77611,7 +52572,7 @@
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@@ -77619,1130 +52580,911 @@
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-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3914,k.49">
+				<port id="5" precision="FP32" names="2860">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5604" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3556" name="Constant_14588" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2861">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3557" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3952">
+				<port id="2" precision="FP32" names="2862,query.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78750,24 +53492,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5605" name="Constant_302955" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3558" name="Constant_14629" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5606" name="Constant_302954" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3559" name="Constant_14631" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5607" name="__module.model.gpt_neox.layers.24.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3560" name="Constant_14633" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3561" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78775,119 +53524,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5608" name="__module.model.gpt_neox.layers.24.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5609" name="__module.model.gpt_neox.layers.24.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3953,3958" />
-			</output>
-		</layer>
-		<layer id="5610" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5611" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="3955,3956,3960,3961" />
-			</output>
-		</layer>
-		<layer id="5612" name="Constant_337828" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2869,q.45">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5613" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3562" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2875">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5614" name="Constant_302953" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3563" name="Constant_14787" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5615" name="ScatterUpdate_302956" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="5616" name="Constant_302959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="3564" name="Constant_14789" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5617" name="Constant_302962" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3565" name="Constant_14791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5618" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3566" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78896,17 +53604,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3962,x2.99">
+				<port id="5" precision="FP32" names="2885,x2.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78914,8 +53625,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5619" name="Constant_325435" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3567" name="Constant_37082" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -78925,7 +53636,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5620" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3568" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78942,7 +53653,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3963">
+				<port id="2" precision="FP32" names="2886">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78950,24 +53661,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5621" name="Constant_303007" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3569" name="Constant_14684" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5622" name="Constant_303012" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3570" name="Constant_14728" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3571" name="Constant_14730" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5623" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3572" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78976,17 +53694,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3957">
+				<port id="5" precision="FP32" names="2880">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78994,7 +53715,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5624" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3573" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79011,7 +53732,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3965">
+				<port id="2" precision="FP32" names="2888">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79019,7 +53740,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5625" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3574" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79036,7 +53757,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3966">
+				<port id="2" precision="FP32" names="2889">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79044,7 +53765,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5626" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3575" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79061,32 +53782,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3967,3971">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5627" name="__module.model.gpt_neox.layers.24.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.24.key">
+				<port id="2" precision="FP32" names="2890,2908">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79094,13 +53790,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5628" name="Constant_433275" type="Const" version="opset1">
+		<layer id="3576" name="Constant_52630" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5629" name="Constant_433268" type="Const" version="opset1">
+		<layer id="3577" name="Constant_52623" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79108,7 +53804,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5630" name="Constant_433270" type="Const" version="opset1">
+		<layer id="3578" name="Constant_52625" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79116,7 +53812,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5631" name="Constant_433272" type="Const" version="opset1">
+		<layer id="3579" name="Constant_52627" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79124,7 +53820,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5632" name="Concat_433273" type="Concat" version="opset1">
+		<layer id="3580" name="Concat_52628" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -79146,7 +53842,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5633" name="Broadcast_433276" type="Broadcast" version="opset3">
+		<layer id="3581" name="Broadcast_52631" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -79163,8 +53859,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5634" name="ReadValue_417352" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.24.valuepresent.24.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3582" name="ReadValue_49794" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.keypresent.22.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79174,7 +53870,7 @@
 				</port>
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 			<output>
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@@ -79211,32 +53907,31 @@
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@@ -79245,381 +53940,87 @@
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@@ -79627,186 +54028,168 @@
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+		<layer id="3603" name="Constant_14871" type="Const" version="opset1">
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+		<layer id="3604" name="Constant_14873" type="Const" version="opset1">
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 					<dim>1</dim>
@@ -79817,53 +54200,46 @@
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 					<dim>1</dim>
 				</port>
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 		</layer>
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-			<data mode="numpy" />
+		<layer id="3606" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 			</input>
 			<output>
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 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="3607" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79872,26 +54248,14 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2905">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79899,15 +54263,8 @@
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 			</output>
 		</layer>
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-		<layer id="5690" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3608" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79915,531 +54272,549 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="3609" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="present.22.key">
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 					<dim>-1</dim>
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 			<output>
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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 			<output>
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 			<output>
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 			<output>
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+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2924">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5723" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2079666308" size="26214400" />
+		<layer id="3643" name="self.model.gpt_neox.layers.22.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1883029128" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5724" name="Convert_449944" type="Convert" version="opset1">
+		<layer id="3644" name="Convert_74593" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
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 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5725" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2105880708" size="2560" />
+		<layer id="3645" name="self.model.gpt_neox.layers.22.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="1889582728" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -80447,7 +54822,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5726" name="Convert_449947" type="Convert" version="opset1">
+		<layer id="3646" name="Convert_74596" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -80462,12 +54837,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5727" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3647" name="self.model.gpt_neox.layers.22.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -80477,12 +54852,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5728" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2105883268" size="5120" />
+		<layer id="3648" name="self.model.gpt_neox.layers.22.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="1889585288" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -80490,12 +54865,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5729" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3649" name="self.model.gpt_neox.layers.22.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -80505,36 +54880,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5730" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3650" name="self.model.gpt_neox.layers.22.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5731" name="__module.model.gpt_neox.layers.24.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3651" name="__module.model.gpt_neox.layers.22.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -80545,8 +54920,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5732" name="Constant_325440" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2105888388" size="10240" />
+		<layer id="3652" name="Constant_37084" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1889590408" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -80555,7 +54930,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5733" name="__module.model.gpt_neox.layers.24.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3653" name="__module.model.gpt_neox.layers.22.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80570,14 +54945,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4026,input.101">
+				<port id="2" precision="FP32" names="2927,2929,input.89">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5734" name="__module.model.gpt_neox.layers.24/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3654" name="__module.model.gpt_neox.layers.22/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80592,14 +54967,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4028,4030,hidden_states.51">
+				<port id="2" precision="FP32" names="2933,attn_output.183">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5735" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3655" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -80607,7 +54982,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5736" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3656" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80627,8 +55002,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5737" name="Constant_325441" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2105898628" size="10240" />
+		<layer id="3657" name="Constant_37085" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1889600648" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -80637,7 +55012,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5738" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3658" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80659,8 +55034,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5739" name="Constant_325442" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2105908868" size="10240" />
+		<layer id="3659" name="Constant_37086" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1889610888" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -80669,7 +55044,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5740" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3660" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80684,124 +55059,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4040">
+				<port id="2" precision="FP32" names="2937">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5741" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2105919108" size="19660800" />
+		<layer id="3661" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="1889621128" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5742" name="Convert_449955" type="Convert" version="opset1">
+		<layer id="3662" name="Convert_73799" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5743" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2125579908" size="7680" />
+		<layer id="3663" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="1915835528" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5744" name="Convert_449958" type="Convert" version="opset1">
+		<layer id="3664" name="Convert_73802" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5745" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3665" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5746" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2125587588" size="15360" />
+		<layer id="3666" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="1915845768" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5747" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3667" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5748" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3668" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5749" name="__module.model.gpt_neox.layers.25.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3669" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80810,7 +55188,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -80818,756 +55196,742 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5750" name="Constant_325443" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2125602948" size="30720" />
+		<layer id="3670" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1915866248" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5751" name="__module.model.gpt_neox.layers.25.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3671" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
 				</port>
 			</input>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2981,q.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5806" name="ScatterUpdate_303194" type="ScatterUpdate" version="opset3">
+		<layer id="3716" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2987">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5807" name="Constant_303197" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="3717" name="Constant_15417" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5808" name="Constant_303200" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3718" name="Constant_15419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5809" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3719" name="Constant_15421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3720" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81576,17 +55940,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4095,x2.101">
+				<port id="5" precision="FP32" names="2997,x2.93">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81594,8 +55961,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5810" name="Constant_325444" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3721" name="Constant_37090" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -81605,7 +55972,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5811" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3722" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81622,7 +55989,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4096">
+				<port id="2" precision="FP32" names="2998">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81630,24 +55997,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5812" name="Constant_303245" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3723" name="Constant_15314" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3724" name="Constant_15358" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5813" name="Constant_303250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3725" name="Constant_15360" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5814" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3726" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81656,17 +56030,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4090">
+				<port id="5" precision="FP32" names="2992">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81674,7 +56051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5815" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="3727" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81691,7 +56068,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4098">
+				<port id="2" precision="FP32" names="3000">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3728" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3001">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81699,16 +56101,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5816" name="self.model.gpt_neox.layers.25.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="3729" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.25.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="3002,3020">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5817" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="3730" name="Constant_52654" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3731" name="Constant_52647" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3732" name="Constant_52649" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -81716,20 +56148,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5818" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3733" name="Constant_52651" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5819" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3734" name="Concat_52652" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -81742,59 +56173,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4075,4078,sin.101">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5820" name="Constant_38380" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5821" name="__module.model.gpt_neox.layers.25.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3735" name="Broadcast_52655" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4083">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5822" name="__module.model.gpt_neox.layers.25.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3736" name="ReadValue_49798" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.23.keypresent.23.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4084,sin.103">
+				<port id="1" precision="FP32" names="past_key_values.23.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5823" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3737" name="Constant_47467" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3738" name="Gather_47468" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81802,15 +56229,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4099">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81818,40 +56243,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5824" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3739" name="Constant_15223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3740" name="Constant_15225" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3741" name="Constant_15227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3742" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4100,4118,4128,query.153,query.155">
+				<port id="5" precision="FP32" names="2975">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5825" name="Constant_14761" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3743" name="Constant_15236" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4056">
+				<port id="0" precision="I64" names="2976">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5826" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3744" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81864,7 +56318,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4057,key.151">
+				<port id="2" precision="FP32" names="2977,key.93">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81872,32 +56326,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5827" name="Constant_303296" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3745" name="Constant_15279" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5828" name="Constant_303299" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="3746" name="Constant_15281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5829" name="Constant_303302" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3747" name="Constant_15283" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5830" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3748" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81906,17 +56359,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4063,k.51">
+				<port id="5" precision="FP32" names="2983,k.47">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81924,7 +56380,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5831" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3749" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81941,7 +56397,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4101">
+				<port id="2" precision="FP32" names="3003">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81949,144 +56405,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5832" name="Constant_303306" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5833" name="Constant_303305" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3750" name="Constant_15560" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5834" name="__module.model.gpt_neox.layers.25.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5835" name="__module.model.gpt_neox.layers.25.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5836" name="__module.model.gpt_neox.layers.25.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4102,4107" />
-			</output>
-		</layer>
-		<layer id="5837" name="__module.model.gpt_neox.layers.25.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5838" name="__module.model.gpt_neox.layers.25.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4104,4105,4109,4110" />
-			</output>
-		</layer>
-		<layer id="5839" name="Constant_337838" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3751" name="Constant_15562" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5840" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="I64">
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-			</output>
-		</layer>
-		<layer id="5841" name="Constant_303304" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3752" name="Constant_15564" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5842" name="ScatterUpdate_303307" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5843" name="Constant_303310" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="5844" name="Constant_303313" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="5845" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3753" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82095,17 +56438,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4111,x2.103">
+				<port id="5" precision="FP32" names="3013,x2.95">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82113,8 +56459,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5846" name="Constant_325445" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="3754" name="Constant_37091" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -82124,7 +56470,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5847" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3755" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82141,7 +56487,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4112">
+				<port id="2" precision="FP32" names="3014">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82149,24 +56495,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5848" name="Constant_303358" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3756" name="Constant_15457" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5849" name="Constant_303363" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3757" name="Constant_15501" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3758" name="Constant_15503" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5850" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3759" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82175,17 +56528,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4106">
+				<port id="5" precision="FP32" names="3008">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82193,7 +56549,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5851" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3760" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82210,7 +56566,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4114">
+				<port id="2" precision="FP32" names="3016">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82218,7 +56574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5852" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3761" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82235,7 +56591,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4115">
+				<port id="2" precision="FP32" names="3017">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82243,7 +56599,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5853" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3762" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82260,7 +56616,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4116,4120">
+				<port id="2" precision="FP32" names="3018,3022">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82268,7 +56624,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5854" name="__module.model.gpt_neox.layers.25.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="3763" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82285,7 +56641,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.25.key">
+				<port id="2" precision="FP32" names="present.23.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82293,13 +56649,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5855" name="Constant_433301" type="Const" version="opset1">
+		<layer id="3764" name="Constant_52666" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5856" name="Constant_433294" type="Const" version="opset1">
+		<layer id="3765" name="Constant_52659" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82307,7 +56663,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5857" name="Constant_433296" type="Const" version="opset1">
+		<layer id="3766" name="Constant_52661" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82315,7 +56671,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5858" name="Constant_433298" type="Const" version="opset1">
+		<layer id="3767" name="Constant_52663" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82323,7 +56679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5859" name="Concat_433299" type="Concat" version="opset1">
+		<layer id="3768" name="Concat_52664" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -82345,7 +56701,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5860" name="Broadcast_433302" type="Broadcast" version="opset3">
+		<layer id="3769" name="Broadcast_52667" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -82362,8 +56718,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5861" name="ReadValue_417356" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3770" name="ReadValue_49800" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82373,7 +56729,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.25.value">
+				<port id="1" precision="FP32" names="past_key_values.23.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82381,13 +56737,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5862" name="Constant_402043" type="Const" version="opset1">
+		<layer id="3771" name="Constant_47470" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5863" name="Gather_402044" type="Gather" version="opset8">
+		<layer id="3772" name="Gather_47471" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82410,32 +56766,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5864" name="Constant_303408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="3773" name="Constant_15241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5865" name="Constant_303411" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="3774" name="Constant_15243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5866" name="Constant_303414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3775" name="Constant_15245" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5867" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3776" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82444,17 +56799,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4058">
+				<port id="5" precision="FP32" names="2978">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -82462,15 +56820,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5868" name="Constant_14775" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3777" name="Constant_15254" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4059">
+				<port id="0" precision="I64" names="2979">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5869" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3778" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82483,7 +56841,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4060">
+				<port id="2" precision="FP32" names="2980">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82491,7 +56849,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5870" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="3779" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82508,7 +56866,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.25.value">
+				<port id="2" precision="FP32" names="present.23.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82516,34 +56874,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5871" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="4137">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5872" name="Constant_303418" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5873" name="Constant_303417" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="3780" name="Constant_15636" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5874" name="ShapeOf_340194" type="ShapeOf" version="opset3">
+		<layer id="3781" name="ShapeOf_39878" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82559,42 +56898,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5875" name="Constant_340195" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="3782" name="Constant_39879" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5876" name="Constant_340196" type="Const" version="opset1">
+		<layer id="3783" name="Constant_39880" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5877" name="Gather_340197" type="Gather" version="opset8">
+		<layer id="3784" name="Gather_39881" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5878" name="Add_340198" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="4132" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5879" name="ShapeOf_340265" type="ShapeOf" version="opset3">
+		<layer id="3785" name="ShapeOf_39882" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82610,75 +56945,68 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5880" name="Constant_340266" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="3786" name="Constant_39883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5881" name="Constant_340267" type="Const" version="opset1">
+		<layer id="3787" name="Constant_39884" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5882" name="Gather_340268" type="Gather" version="opset8">
+		<layer id="3788" name="Gather_39885" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4130" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5883" name="__module.model.gpt_neox.layers.25.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="3789" name="Add_39886" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="4134,4135" />
-			</output>
-		</layer>
-		<layer id="5884" name="Constant_337840" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5885" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="3027">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5886" name="Constant_303416" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3790" name="Constant_15639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5887" name="ScatterUpdate_303419" type="ScatterUpdate" version="opset3">
+		<layer id="3791" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -82686,502 +57014,615 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5888" name="Constant_303420" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5889" name="Constant_337842" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="5" precision="FP32" names="3031">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5890" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3792" name="__module.model.gpt_neox.layers.23.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="4" precision="FP32" names="3032,attn_output.185">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5891" name="ScatterUpdate_303421" type="ScatterUpdate" version="opset3">
-			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+		<layer id="3793" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="3794" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="3033">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5892" name="Constant_303424" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497588" size="24" />
+		<layer id="3795" name="Constant_40558" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5893" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3796" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>3</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
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-				<port id="3" precision="I64">
-					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4138">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3036">
 					<dim>-1</dim>
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5894" name="Constant_303497" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3797" name="self.model.gpt_neox.layers.23.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="1961848968" size="6553600" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5895" name="Constant_303498" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="3798" name="Convert_74604" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5896" name="Constant_303494" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3799" name="self.model.gpt_neox.layers.23.attention.dense.weight/zero_point" type="Const" version="opset1">
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+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5916" name="Constant_15216" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3825" name="__module.model.gpt_neox.layers.23.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="4147">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5917" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3826" name="__module.model.gpt_neox.layers.23.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4148">
+				<port id="2" precision="FP32" names="3054">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5918" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5919" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3827" name="__module.model.gpt_neox.layers.23.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4153">
+				<port id="1" precision="FP32" names="3055">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5920" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="2125633668" size="6553600" />
+		<layer id="3828" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="1994706568" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5921" name="Convert_449966" type="Convert" version="opset1">
+		<layer id="3829" name="Convert_73829" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5922" name="self.model.gpt_neox.layers.25.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2132187268" size="2560" />
+		<layer id="3830" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2020920968" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -83189,7 +57630,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5923" name="Convert_449969" type="Convert" version="opset1">
+		<layer id="3831" name="Convert_73832" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -83204,12 +57645,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5924" name="self.model.gpt_neox.layers.25.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3832" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -83219,12 +57660,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5925" name="self.model.gpt_neox.layers.25.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2132189828" size="5120" />
+		<layer id="3833" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2020923528" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83232,12 +57673,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5926" name="self.model.gpt_neox.layers.25.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3834" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -83247,36 +57688,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5927" name="self.model.gpt_neox.layers.25.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3835" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5928" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3836" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -83287,17 +57731,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5929" name="Constant_325446" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2132194948" size="10240" />
+		<layer id="3837" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2020928648" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3838" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5930" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3839" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83306,20 +57764,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4156,4158,input.103">
+				<port id="2" precision="FP32" names="3058,input.95">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5931" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
+		<layer id="3840" name="__module.model.gpt_neox.layers.23/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83334,14 +57790,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4162,attn_output.103">
+				<port id="2" precision="FP32" names="3060,3062,hidden_states.99">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5932" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3841" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -83349,7 +57805,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5933" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3842" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83369,8 +57825,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5934" name="Constant_325447" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2132205188" size="10240" />
+		<layer id="3843" name="Constant_37095" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2020933768" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83379,7 +57835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5935" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3844" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83401,8 +57857,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5936" name="Constant_325448" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2132215428" size="10240" />
+		<layer id="3845" name="Constant_37096" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2020944008" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83411,7 +57867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5937" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3846" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83426,124 +57882,124 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4166">
+				<port id="2" precision="FP32" names="3072,hidden_states.97">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5938" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="2132225668" size="26214400" />
+		<layer id="3847" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="2020954248" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5939" name="Convert_449977" type="Convert" version="opset1">
+		<layer id="3848" name="Convert_74263" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5940" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2158440068" size="10240" />
+		<layer id="3849" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="2040615048" size="7680" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5941" name="Convert_449980" type="Convert" version="opset1">
+		<layer id="3850" name="Convert_74266" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5942" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3851" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5943" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2158450308" size="20480" />
+		<layer id="3852" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="2040622728" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5944" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3853" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
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 				</port>
 			</output>
 		</layer>
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+		<layer id="3854" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="FP16">
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 			<output>
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 		</layer>
-		<layer id="5946" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3855" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -83552,7 +58008,7 @@
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 				</port>
 				<port id="1" precision="FP32">
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+					<dim>7680</dim>
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@@ -83560,602 +58016,918 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 10240" offset="2158470788" size="40960" />
+		<layer id="3856" name="Constant_37097" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="5948" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3857" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 					<dim>1</dim>
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+					<dim>7680</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3079,qkv.97">
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 					<dim>-1</dim>
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+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data approximation_mode="ERF" />
+		<layer id="3858" name="__module.model.gpt_neox.layers.24.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992288" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3859" name="__module.model.gpt_neox.layers.24.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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+				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3083,qkv.99">
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
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-			<data element_type="u8" shape="2560, 10240" offset="2158511748" size="26214400" />
+		<layer id="3860" name="Constant_15835" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="U8">
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-					<dim>10240</dim>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="5951" name="Convert_449988" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="3861" name="Constant_15837" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="3862" name="Constant_15839" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3863" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
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+		<layer id="3864" name="Constant_15848" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="3085">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3865" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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+					<dim>80</dim>
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+				<port id="1" precision="I64">
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+					<dim>32</dim>
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+					<dim>80</dim>
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+		<layer id="3866" name="Constant_15889" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data destination_type="f16" />
+		<layer id="3867" name="Constant_15891" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		<layer id="3868" name="Constant_15893" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="3869" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
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 			<output>
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+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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+		<layer id="3870" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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 			<output>
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+					<dim>-1</dim>
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+		<layer id="3871" name="Constant_16047" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="3872" name="Constant_16049" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="3873" name="Constant_16051" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="3874" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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+				<port id="0" precision="FP32">
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+		<layer id="3876" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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 			<output>
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 			<output>
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 		</layer>
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+		<layer id="3910" name="Constant_16087" type="Const" version="opset1">
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+		<layer id="3911" name="Constant_16131" type="Const" version="opset1">
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 		</layer>
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+		<layer id="3912" name="Constant_16133" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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+		<layer id="3913" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_8" type="Slice" version="opset8">
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+					<dim>1</dim>
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 			</input>
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+				<port id="5" precision="FP32" names="3120">
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+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="3914" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3128">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5986" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3915" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3129">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84163,32 +58935,33 @@
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 			</output>
 		</layer>
-		<layer id="5987" name="Constant_303521" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="3916" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="5988" name="Constant_303524" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="5989" name="Constant_303527" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3130,3134">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5990" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3917" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84196,18 +58969,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4210,q.53">
+				<port id="2" precision="FP32" names="present.24.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84215,157 +58985,154 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
+		<layer id="3918" name="Constant_52690" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.26.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5992" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3919" name="Constant_52683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="5994" name="Constant_303536" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="3920" name="Constant_52685" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="3921" name="Constant_52687" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3922" name="Concat_52688" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
+				<port id="0" precision="I64">
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 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3923" name="Broadcast_52691" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4204">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5997" name="ShapeOf_340275" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3924" name="ReadValue_49804" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.24.valuepresent.24.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.24.value">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-				</port>
 			</output>
 		</layer>
-		<layer id="5999" name="Constant_340277" type="Const" version="opset1">
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 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6000" name="Gather_340278" type="Gather" version="opset8">
+		<layer id="3926" name="Gather_47477" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4214">
-					<dim>1</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="6002" name="Constant_433307" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="3927" name="Constant_15871" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6003" name="Constant_433309" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3928" name="Constant_15873" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6004" name="Constant_433311" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="3929" name="Constant_15875" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6005" name="Concat_433312" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3930" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -84376,42 +59143,41 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-			</output>
-		</layer>
-		<layer id="6006" name="Broadcast_433315" type="Broadcast" version="opset3">
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-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="3090">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6007" name="ReadValue_417358" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.26.keypresent.26.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3931" name="Constant_15884" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3091">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3932" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.26.key">
+				<port id="2" precision="FP32" names="3092">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84419,14 +59185,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6008" name="Constant_402046" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6009" name="Gather_402047" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3933" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84434,13 +59194,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="present.24.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84448,7 +59210,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6010" name="ShapeOf_340280" type="ShapeOf" version="opset3">
+		<layer id="3934" name="Constant_16266" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3935" name="ShapeOf_39951" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84464,54 +59234,85 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6011" name="Constant_340281" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="3936" name="Constant_39952" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6012" name="Constant_340282" type="Const" version="opset1">
+		<layer id="3937" name="Constant_39953" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6013" name="Gather_340283" type="Gather" version="opset8">
+		<layer id="3938" name="Gather_39954" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4216" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3939" name="ShapeOf_39955" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6014" name="Constant_337844" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3940" name="Constant_39956" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6015" name="Reshape_340957" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
+		<layer id="3941" name="Constant_39957" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
 				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3942" name="Gather_39958" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6016" name="__module.model.gpt_neox.layers.26.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="3943" name="Add_39959" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -84522,25 +59323,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4215,4219,4220,seq_len.105">
+				<port id="2" precision="I64" names="3139">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6017" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="3944" name="Constant_16269" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6018" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3945" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -84551,61 +59353,65 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4223,4226,cos.105">
+				<port id="5" precision="FP32" names="3143">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6019" name="Constant_38383" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6020" name="__module.model.gpt_neox.layers.26.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3946" name="__module.model.gpt_neox.layers.24.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="4229">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6021" name="__module.model.gpt_neox.layers.26.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4230,cos.107">
+				<port id="4" precision="FP32" names="3144,attn_output.193">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6022" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3947" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3948" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84613,1028 +59419,1029 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4234">
+				<port id="2" precision="FP32" names="3145">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6023" name="Constant_303544" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6024" name="Constant_303543" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="3949" name="Constant_40559" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6025" name="__module.model.gpt_neox.layers.26.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3950" name="__module.model.gpt_neox.layers.24.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3148">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6026" name="__module.model.gpt_neox.layers.26.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="3951" name="self.model.gpt_neox.layers.24.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2040668808" size="6553600" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6027" name="__module.model.gpt_neox.layers.26.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3952" name="Convert_74615" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4235,4240" />
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6028" name="__module.model.gpt_neox.layers.26.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="3953" name="self.model.gpt_neox.layers.24.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2047222408" size="2560" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6029" name="__module.model.gpt_neox.layers.26.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="3954" name="Convert_74618" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4237,4238,4242,4243" />
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-		</layer>
-		<layer id="6030" name="Constant_337846" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6031" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3955" name="self.model.gpt_neox.layers.24.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6032" name="Constant_303542" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3956" name="self.model.gpt_neox.layers.24.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2047224968" size="5120" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6033" name="ScatterUpdate_303545" type="ScatterUpdate" version="opset3">
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+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>4</dim>
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP16">
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6034" name="Constant_303548" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="3958" name="self.model.gpt_neox.layers.24.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
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-		<layer id="6035" name="Constant_303551" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3959" name="__module.model.gpt_neox.layers.24.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>2560</dim>
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+		<layer id="4003" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
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+		<layer id="4004" name="Convert_74277" type="Convert" version="opset1">
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 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="4005" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
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+					<dim>2560</dim>
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+		<layer id="4006" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/scale" type="Const" version="opset1">
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 				</port>
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+		</layer>
+		<layer id="4007" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6087" name="Broadcast_433328" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4008" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
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+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4009" name="__module.model.gpt_neox.layers.25.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+				<port id="0" precision="FP32">
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+					<dim>2560</dim>
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 		</layer>
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+		<layer id="4010" name="Constant_37105" type="Const" version="opset1">
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+					<dim>1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4011" name="__module.model.gpt_neox.layers.25.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3191,qkv.101">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="6089" name="Constant_402049" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4012" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992288" size="32" />
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+					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="4013" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape" type="Reshape" version="opset1">
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+					<dim>32</dim>
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 		</layer>
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+		<layer id="4014" name="Constant_16465" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4015" name="Constant_16467" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4016" name="Constant_16469" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4017" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85643,17 +60450,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3196">
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@@ -85661,15 +60471,15 @@
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4018" name="Constant_16478" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="3197">
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 		</layer>
-		<layer id="6096" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4019" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -85682,32 +60492,7 @@
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 			</input>
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-			<output>
-				<port id="2" precision="FP32" names="present.26.value">
+				<port id="2" precision="FP32" names="3198,query.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85715,35 +60500,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="4020" name="Constant_16519" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4286">
-					<dim>1</dim>
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 					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="4021" name="Constant_16521" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="4022" name="Constant_16523" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="4023" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85751,50 +60532,30 @@
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 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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-		<layer id="6102" name="Constant_340286" type="Const" version="opset1">
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-		<layer id="6103" name="Constant_340287" type="Const" version="opset1">
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="3205,q.51">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6105" name="Add_340289" type="Add" version="opset1">
+		<layer id="4024" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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-				<port id="1" precision="I64" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85802,82 +60563,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		<layer id="6108" name="Constant_340358" type="Const" version="opset1">
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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-		<layer id="6110" name="__module.model.gpt_neox.layers.26.attention/aten::sub/Subtract" type="Subtract" version="opset1">
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-				<port id="1" precision="I64" />
 			</input>
 			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="6111" name="Constant_337850" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4025" name="Constant_16677" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			</input>
+		<layer id="4026" name="Constant_16679" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
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+				<port id="0" precision="I64">
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 				</port>
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 		</layer>
-		<layer id="6113" name="Constant_303767" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4027" name="Constant_16681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6114" name="ScatterUpdate_303770" type="ScatterUpdate" version="opset3">
+		<layer id="4028" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 					<dim>1</dim>
@@ -85885,139 +60617,89 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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-		<layer id="6115" name="Constant_303771" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
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+				<port id="5" precision="FP32" names="3221,x2.101">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6116" name="Constant_337852" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4029" name="Constant_37106" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="6117" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6118" name="ScatterUpdate_303772" type="ScatterUpdate" version="opset3">
+		<layer id="4030" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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+				<port id="1" precision="FP32">
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 					<dim>1</dim>
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-				<port id="0" precision="I64">
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3222">
 					<dim>-1</dim>
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-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6122" name="Constant_303849" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4031" name="Constant_16574" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="6123" name="Constant_303845" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4032" name="Constant_16618" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6124" name="Constant_303844" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4033" name="Constant_16620" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6125" name="ScatterUpdate_303850" type="ScatterUpdate" version="opset3">
+		<layer id="4034" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -86025,182 +60707,128 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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 				<port id="4" precision="I64">
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 					<dim>1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3216">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-		<layer id="6130" name="__module.model.gpt_neox.layers.26.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4035" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
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-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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 			<output>
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-					<dim>1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6131" name="Add_316860" type="Add" version="opset1">
+		<layer id="4036" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="4037" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			<output>
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-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3226,3244">
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="4038" name="Constant_52702" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
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+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4039" name="Constant_52695" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4040" name="Constant_52697" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4041" name="Constant_52699" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 				</port>
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 		</layer>
-		<layer id="6139" name="__module.model.gpt_neox.layers.26.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="4042" name="Concat_52700" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -86217,51 +60845,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4291">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6140" name="Maximum_316862" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4043" name="Broadcast_52703" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6141" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4044" name="ReadValue_49806" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.25.keypresent.25.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4293">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.25.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="4045" name="Constant_47479" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4046" name="Gather_47480" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86269,56 +60901,67 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="4047" name="Constant_16483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 		</layer>
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+		<layer id="4049" name="Constant_16487" type="Const" version="opset1">
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 		</layer>
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+		<layer id="4050" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_5" type="Slice" version="opset8">
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@@ -86326,16 +60969,15 @@
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 		</layer>
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-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="4051" name="Constant_16496" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="3200">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="4052" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -86344,862 +60986,928 @@
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 				</port>
 				<port id="1" precision="I64">
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+					<dim>4</dim>
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 			<output>
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 		</layer>
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+		<layer id="4053" name="Constant_16539" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-					<dim>2560</dim>
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+		<layer id="4054" name="Constant_16541" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="u8" shape="2560, 1" offset="2211032708" size="2560" />
+		<layer id="4055" name="Constant_16543" type="Const" version="opset1">
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 			<output>
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 			</output>
 		</layer>
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@@ -87208,7 +61916,7 @@
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@@ -87216,1240 +61924,949 @@
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -88457,34 +62874,72 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3317,q.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4178" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3323">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6297" name="Constant_304012" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4179" name="Constant_17307" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6298" name="Constant_304015" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4180" name="Constant_17309" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4181" name="Constant_17311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6299" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4182" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88493,17 +62948,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4409,x2.111">
+				<port id="5" precision="FP32" names="3333,x2.105">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88511,8 +62969,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6300" name="Constant_325465" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="4183" name="Constant_37114" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -88522,7 +62980,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6301" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4184" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88539,7 +62997,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4410">
+				<port id="2" precision="FP32" names="3334">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88547,24 +63005,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6302" name="Constant_304060" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4185" name="Constant_17204" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6303" name="Constant_304065" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4186" name="Constant_17248" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6304" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4187" name="Constant_17250" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4188" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88573,17 +63038,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4404">
+				<port id="5" precision="FP32" names="3328">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88591,7 +63059,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6305" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="4189" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88608,7 +63076,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4412">
+				<port id="2" precision="FP32" names="3336">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88616,7 +63084,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6306" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="4190" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88633,7 +63101,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4413">
+				<port id="2" precision="FP32" names="3337">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88641,7 +63109,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6307" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4191" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88658,32 +63126,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4414,4418">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6308" name="__module.model.gpt_neox.layers.27.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.27.key">
+				<port id="2" precision="FP32" names="3338,3356">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88691,13 +63134,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6309" name="Constant_433353" type="Const" version="opset1">
+		<layer id="4192" name="Constant_52726" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6310" name="Constant_433346" type="Const" version="opset1">
+		<layer id="4193" name="Constant_52719" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88705,7 +63148,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6311" name="Constant_433348" type="Const" version="opset1">
+		<layer id="4194" name="Constant_52721" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88713,7 +63156,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6312" name="Constant_433350" type="Const" version="opset1">
+		<layer id="4195" name="Constant_52723" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88721,7 +63164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6313" name="Concat_433351" type="Concat" version="opset1">
+		<layer id="4196" name="Concat_52724" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -88743,7 +63186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6314" name="Broadcast_433354" type="Broadcast" version="opset3">
+		<layer id="4197" name="Broadcast_52727" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -88760,8 +63203,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6315" name="ReadValue_417364" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.27.valuepresent.27.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="4198" name="ReadValue_49810" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.26.keypresent.26.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88771,7 +63214,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.27.value">
+				<port id="1" precision="FP32" names="past_key_values.26.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88779,13 +63222,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6316" name="Constant_402055" type="Const" version="opset1">
+		<layer id="4199" name="Constant_47485" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6317" name="Gather_402056" type="Gather" version="opset8">
+		<layer id="4200" name="Gather_47486" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88808,32 +63251,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6318" name="Constant_304110" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647808" size="32" />
+		<layer id="4201" name="Constant_17113" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6319" name="Constant_304113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4202" name="Constant_17115" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6320" name="Constant_304116" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4203" name="Constant_17117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6321" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4204" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88842,17 +63284,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4356">
+				<port id="5" precision="FP32" names="3311">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -88860,15 +63305,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6322" name="Constant_15937" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4205" name="Constant_17126" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4357">
+				<port id="0" precision="I64" names="3312">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6323" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4206" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88881,32 +63326,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4358">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6324" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.27.value">
+				<port id="2" precision="FP32" names="3313,key.105">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88914,35 +63334,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6325" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="150303260" size="4194304" />
+		<layer id="4207" name="Constant_17169" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4435">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6326" name="Constant_304120" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
+		<layer id="4208" name="Constant_17171" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="4209" name="Constant_17173" type="Const" version="opset1">
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@@ -88950,50 +63366,30 @@
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 				<port id="1" precision="I64">
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+					<dim>1</dim>
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3319,k.53">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6332" name="Add_340380" type="Add" version="opset1">
+		<layer id="4211" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -89001,82 +63397,53 @@
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 					<dim>80</dim>
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="3339">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
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 		</layer>
-		<layer id="6338" name="Constant_337860" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4212" name="Constant_17450" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
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 				<port id="0" precision="I64">
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 			</output>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
+		<layer id="4213" name="Constant_17452" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
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 		</layer>
-		<layer id="6340" name="Constant_304118" type="Const" version="opset1">
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+		<layer id="4214" name="Constant_17454" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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+		<layer id="4215" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -89084,139 +63451,89 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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-			<output>
 				<port id="4" precision="I64">
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+					<dim>1</dim>
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-		<layer id="6342" name="Constant_304122" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497564" size="24" />
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
-		<layer id="6343" name="Constant_337862" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4216" name="Constant_37115" type="Const" version="opset1">
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+				<port id="0" precision="FP32">
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 			</output>
 		</layer>
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+		<layer id="4217" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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-				<port id="1" precision="I64">
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+					<dim>40</dim>
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 			<output>
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 					<dim>-1</dim>
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-				<port id="0" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4218" name="Constant_17347" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="149647856" size="8" />
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 					<dim>1</dim>
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 		</layer>
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+		<layer id="4220" name="Constant_17393" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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-				<port id="0" precision="I32">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -89224,182 +63541,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-		<layer id="6353" name="Constant_304204" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3344">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4222" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 			<input>
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-					<dim>1</dim>
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 					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-		</layer>
-		<layer id="6357" name="__module.model.gpt_neox.layers.27.attention/aten::where/Select" type="Select" version="opset1">
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 			<data auto_broadcast="numpy" />
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+					<dim>80</dim>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="present.26.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6361" name="Constant_340454" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
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-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
-			</input>
+		<layer id="4226" name="Constant_52738" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="3" precision="I64" names="4423">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6363" name="Constant_268231" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4227" name="Constant_52731" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6364" name="Constant_268233" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4228" name="Constant_52733" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6365" name="Constant_268235" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4229" name="Constant_52735" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6366" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="4230" name="Concat_52736" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -89416,42 +63704,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4440">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6367" name="Maximum_316934" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4231" name="Broadcast_52739" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4232" name="ReadValue_49812" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.26.valuepresent.26.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.26.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4233" name="Constant_47488" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4234" name="Gather_47489" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4235" name="Constant_17131" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4236" name="Constant_17133" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4237" name="Constant_17135" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4238" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3314">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4239" name="Constant_17144" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3315">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="4240" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3316">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6368" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4241" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.26.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4242" name="Constant_17526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4243" name="ShapeOf_40097" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4244" name="Constant_40098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4245" name="Constant_40099" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4246" name="Gather_40100" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4247" name="ShapeOf_40101" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="4248" name="Constant_40102" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4249" name="Constant_40103" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4250" name="Gather_40104" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4442">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4251" name="Add_40105" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="3363">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4252" name="Constant_17529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4253" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3367">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -89459,7 +64038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6369" name="__module.model.gpt_neox.layers.27.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4254" name="__module.model.gpt_neox.layers.26.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89488,7 +64067,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4443,4444,sdpa_result.55,tensor.109">
+				<port id="4" precision="FP32" names="3368,attn_output.209">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89496,15 +64075,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6370" name="Constant_16378" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4255" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4445">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6371" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4256" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89512,12 +64091,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4446">
+				<port id="2" precision="FP32" names="3369">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -89525,15 +64104,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6372" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="4257" name="Constant_40561" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6373" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4258" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89547,15 +64126,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4451">
+				<port id="2" precision="FP32" names="3372">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6374" name="self.model.gpt_neox.layers.27.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="2283324548" size="6553600" />
+		<layer id="4259" name="self.model.gpt_neox.layers.26.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2198308488" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -89563,7 +64142,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6375" name="Convert_450054" type="Convert" version="opset1">
+		<layer id="4260" name="Convert_74637" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89578,8 +64157,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6376" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2289878148" size="2560" />
+		<layer id="4261" name="self.model.gpt_neox.layers.26.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2204862088" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -89587,7 +64166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6377" name="Convert_450057" type="Convert" version="opset1">
+		<layer id="4262" name="Convert_74640" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89602,7 +64181,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6378" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4263" name="self.model.gpt_neox.layers.26.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP16">
@@ -89621,8 +64200,8 @@
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 			</output>
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-		<layer id="6379" name="self.model.gpt_neox.layers.27.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2289880708" size="5120" />
+		<layer id="4264" name="self.model.gpt_neox.layers.26.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2204864648" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -89630,7 +64209,7 @@
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 			</output>
 		</layer>
-		<layer id="6380" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4265" name="self.model.gpt_neox.layers.26.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89649,7 +64228,7 @@
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 			</output>
 		</layer>
-		<layer id="6381" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4266" name="self.model.gpt_neox.layers.26.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89664,7 +64243,7 @@
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 			</output>
 		</layer>
-		<layer id="6382" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4267" name="__module.model.gpt_neox.layers.26.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89685,8 +64264,8 @@
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 			</output>
 		</layer>
-		<layer id="6383" name="Constant_325466" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2289885828" size="10240" />
+		<layer id="4268" name="Constant_37116" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2204869768" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -89695,7 +64274,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6384" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4269" name="__module.model.gpt_neox.layers.26.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89710,14 +64289,14 @@
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3375,3377,input.105">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6385" name="__module.model.gpt_neox.layers.27/aten::add/Add" type="Add" version="opset1">
+		<layer id="4270" name="__module.model.gpt_neox.layers.26/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89732,14 +64311,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4460,attn_output.111">
+				<port id="2" precision="FP32" names="3381,attn_output.215">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6386" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4271" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -89747,7 +64326,7 @@
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 			</output>
 		</layer>
-		<layer id="6387" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4272" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89767,8 +64346,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6388" name="Constant_325467" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2289896068" size="10240" />
+		<layer id="4273" name="Constant_37117" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2204880008" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -89777,7 +64356,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6389" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4274" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89799,8 +64378,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6390" name="Constant_325468" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2289906308" size="10240" />
+		<layer id="4275" name="Constant_37118" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2204890248" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -89809,7 +64388,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6391" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4276" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89824,15 +64403,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4464">
+				<port id="2" precision="FP32" names="3385">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6392" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="2289916548" size="26214400" />
+		<layer id="4277" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="2204900488" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -89840,7 +64419,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6393" name="Convert_450065" type="Convert" version="opset1">
+		<layer id="4278" name="Convert_73879" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89855,8 +64434,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6394" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2316130948" size="10240" />
+		<layer id="4279" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="2231114888" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -89864,7 +64443,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6395" name="Convert_450068" type="Convert" version="opset1">
+		<layer id="4280" name="Convert_73882" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -89879,7 +64458,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6396" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4281" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89898,8 +64477,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6397" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2316141188" size="20480" />
+		<layer id="4282" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="2231125128" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -89907,7 +64486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6398" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4283" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -89926,8 +64505,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6399" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4284" name="__module.model.gpt_neox.layers.26.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -89941,7 +64523,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6400" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4285" name="__module.model.gpt_neox.layers.26.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89962,17 +64544,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6401" name="Constant_325469" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="2316161668" size="40960" />
+		<layer id="4286" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2231145608" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4287" name="__module.model.gpt_neox.layers.26.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6402" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4288" name="__module.model.gpt_neox.layers.26.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -89981,20 +64577,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4469">
+				<port id="2" precision="FP32" names="3390">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6403" name="__module.model.gpt_neox.layers.27.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4289" name="__module.model.gpt_neox.layers.26.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90004,15 +64598,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4470">
+				<port id="1" precision="FP32" names="3391">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6404" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2316202628" size="26214400" />
+		<layer id="4290" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="2231166088" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -90020,7 +64614,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6405" name="Convert_450076" type="Convert" version="opset1">
+		<layer id="4291" name="Convert_73889" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90035,8 +64629,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6406" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2342417028" size="2560" />
+		<layer id="4292" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2257380488" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -90044,7 +64638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6407" name="Convert_450079" type="Convert" version="opset1">
+		<layer id="4293" name="Convert_73892" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90059,7 +64653,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6408" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4294" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90078,8 +64672,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6409" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2342419588" size="5120" />
+		<layer id="4295" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2257383048" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -90087,7 +64681,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6410" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4296" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90106,8 +64700,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6411" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4297" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -90121,7 +64718,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6412" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4298" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90142,17 +64739,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6413" name="Constant_325470" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2342424708" size="10240" />
+		<layer id="4299" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2257388168" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4300" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4301" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90161,20 +64772,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3394,input.107">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6415" name="__module.model.gpt_neox.layers.27/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4302" name="__module.model.gpt_neox.layers.26/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90189,14 +64798,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4475,4477,hidden_states.57">
+				<port id="2" precision="FP32" names="3396,3398,hidden_states.111">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6416" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4303" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -90204,7 +64813,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6417" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4304" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90224,8 +64833,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6418" name="Constant_325471" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2342434948" size="10240" />
+		<layer id="4305" name="Constant_37119" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2257393288" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -90234,7 +64843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6419" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4306" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90256,8 +64865,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6420" name="Constant_325472" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2342445188" size="10240" />
+		<layer id="4307" name="Constant_37120" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2257403528" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -90266,7 +64875,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6421" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4308" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90281,15 +64890,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4487">
+				<port id="2" precision="FP32" names="3408,hidden_states.109">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6422" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2342455428" size="19660800" />
+		<layer id="4309" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="2257413768" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -90297,7 +64906,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6423" name="Convert_450087" type="Convert" version="opset1">
+		<layer id="4310" name="Convert_74296" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90312,8 +64921,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6424" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2362116228" size="7680" />
+		<layer id="4311" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="2277074568" size="7680" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -90321,7 +64930,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6425" name="Convert_450090" type="Convert" version="opset1">
+		<layer id="4312" name="Convert_74299" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -90336,7 +64945,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6426" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4313" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90355,8 +64964,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6427" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2362123908" size="15360" />
+		<layer id="4314" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 1" offset="2277082248" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -90364,7 +64973,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6428" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4315" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90383,7 +64992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6429" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4316" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -90398,7 +65007,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6430" name="__module.model.gpt_neox.layers.28.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4317" name="__module.model.gpt_neox.layers.27.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90419,8 +65028,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6431" name="Constant_325473" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2362139268" size="30720" />
+		<layer id="4318" name="Constant_37121" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="2277097608" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -90429,7 +65038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6432" name="__module.model.gpt_neox.layers.28.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4319" name="__module.model.gpt_neox.layers.27.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90444,14 +65053,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4494,qkv.113">
+				<port id="2" precision="FP32" names="3415,qkv.109">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6433" name="__module.model.gpt_neox.layers.28.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="4320" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -90459,7 +65068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6434" name="__module.model.gpt_neox.layers.28.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="4321" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90472,7 +65081,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4498,qkv.115">
+				<port id="2" precision="FP32" names="3419,qkv.111">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -90480,32 +65089,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6435" name="Constant_304211" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4322" name="Constant_17725" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6436" name="Constant_304214" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="4323" name="Constant_17727" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6437" name="Constant_304217" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4324" name="Constant_17729" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6438" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4325" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90514,17 +65122,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4499">
+				<port id="5" precision="FP32" names="3420">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -90532,15 +65143,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6439" name="Constant_16490" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4326" name="Constant_17738" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4500">
+				<port id="0" precision="I64" names="3421">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6440" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4327" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90553,7 +65164,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4501,query.169">
+				<port id="2" precision="FP32" names="3422,query.55">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -90561,32 +65172,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6441" name="Constant_304223" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4328" name="Constant_17779" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6442" name="Constant_304226" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="4329" name="Constant_17781" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6443" name="Constant_304229" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4330" name="Constant_17783" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6444" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4331" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90595,17 +65205,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4508,q.57">
+				<port id="5" precision="FP32" names="3429,q.55">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -90613,129 +65226,257 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6445" name="self.model.gpt_neox.layers.28.attention.rotary_emb.cos_cached" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.28.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="4332" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6446" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
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 		</layer>
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+		<layer id="4341" name="Constant_17880" type="Const" version="opset1">
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+		</layer>
+		<layer id="4342" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_3" type="Slice" version="opset8">
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 			<output>
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+					<dim>32</dim>
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+		<layer id="4344" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
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 		</layer>
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+		<layer id="4345" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add" type="Add" version="opset1">
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 		</layer>
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@@ -90743,7 +65484,7 @@
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 			</output>
 		</layer>
-		<layer id="6457" name="Constant_433361" type="Const" version="opset1">
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@@ -90751,7 +65492,7 @@
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 			</output>
 		</layer>
-		<layer id="6458" name="Constant_433363" type="Const" version="opset1">
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@@ -90759,7 +65500,7 @@
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 			</output>
 		</layer>
-		<layer id="6459" name="Concat_433364" type="Concat" version="opset1">
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@@ -90781,7 +65522,7 @@
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 			</output>
 		</layer>
-		<layer id="6460" name="Broadcast_433367" type="Broadcast" version="opset3">
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 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -90798,8 +65539,8 @@
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+		<layer id="4352" name="ReadValue_49814" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.27.keypresent.27.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -90809,7 +65550,7 @@
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.27.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -90817,13 +65558,13 @@
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 			</output>
 		</layer>
-		<layer id="6462" name="Constant_402058" type="Const" version="opset1">
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 		</layer>
-		<layer id="6463" name="Gather_402059" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90846,163 +65587,144 @@
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 		</layer>
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+		<layer id="4355" name="Constant_17743" type="Const" version="opset1">
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 			<output>
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-		<layer id="6466" name="Constant_340464" type="Const" version="opset1">
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+		<layer id="4356" name="Constant_17745" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4357" name="Constant_17747" type="Const" version="opset1">
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 		</layer>
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 			<input>
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 			<output>
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 		</layer>
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 				<port id="0" precision="FP32">
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 		</layer>
-		<layer id="6475" name="__module.model.gpt_neox.layers.28.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="4364" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4528,cos.115">
+				<port id="5" precision="FP32" names="3431,k.55">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6476" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="4365" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -91019,7 +65741,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4532">
+				<port id="2" precision="FP32" names="3451">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91027,24 +65749,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6477" name="Constant_304246" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4366" name="Constant_18080" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6478" name="Constant_304245" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4367" name="Constant_18082" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6479" name="__module.model.gpt_neox.layers.28.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4368" name="Constant_18084" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4369" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91052,119 +65781,89 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6480" name="__module.model.gpt_neox.layers.28.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6481" name="__module.model.gpt_neox.layers.28.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4533,4538" />
-			</output>
-		</layer>
-		<layer id="6482" name="__module.model.gpt_neox.layers.28.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6483" name="__module.model.gpt_neox.layers.28.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4535,4536,4540,4541" />
-			</output>
-		</layer>
-		<layer id="6484" name="Constant_337866" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6485" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3461,x2.111">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6486" name="Constant_304244" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4370" name="Constant_37123" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6487" name="ScatterUpdate_304247" type="ScatterUpdate" version="opset3">
+		<layer id="4371" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3462">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6488" name="Constant_304250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4372" name="Constant_17977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6489" name="Constant_304253" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4373" name="Constant_18021" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4374" name="Constant_18023" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6490" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4375" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91173,17 +65872,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4542,x2.113">
+				<port id="5" precision="FP32" names="3456">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91191,19 +65893,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6491" name="Constant_325474" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6492" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4376" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91212,39 +65903,48 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4543">
+				<port id="2" precision="FP32" names="3464">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6493" name="Constant_304298" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="4377" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6494" name="Constant_304303" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3465">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6495" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4378" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91252,43 +65952,40 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4537">
+				<port id="2" precision="FP32" names="3466,3470">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6496" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4379" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4545">
+				<port id="2" precision="FP32" names="present.27.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91296,16 +65993,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6497" name="self.model.gpt_neox.layers.28.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="4380" name="Constant_52762" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.28.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4381" name="Constant_52755" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6498" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="4382" name="Constant_52757" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -91313,20 +66015,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6499" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4383" name="Constant_52759" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6500" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4384" name="Concat_52760" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -91339,75 +66040,152 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4522,4525,sin.113">
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4385" name="Broadcast_52763" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6501" name="Constant_38398" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="4386" name="ReadValue_49816" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.27.valuepresent.27.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="1" precision="FP32" names="past_key_values.27.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4387" name="Constant_47494" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6502" name="__module.model.gpt_neox.layers.28.attention/aten::index/Gather_1" type="Gather" version="opset8">
+		<layer id="4388" name="Gather_47495" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4530">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6503" name="__module.model.gpt_neox.layers.28.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4389" name="Constant_17761" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4390" name="Constant_17763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4391" name="Constant_17765" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4392" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4531,sin.115">
+				<port id="5" precision="FP32" names="3426">
 					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6504" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4393" name="Constant_17774" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3427">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4394" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4546">
+				<port id="2" precision="FP32" names="3428">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91415,8 +66193,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6505" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4395" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91432,7 +66210,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4547,4565,4575,query.171,query.173">
+				<port id="2" precision="FP32" names="present.27.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91440,89 +66218,164 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6506" name="Constant_16504" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4396" name="Constant_18156" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="4503">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6507" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4397" name="ShapeOf_40170" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="4398" name="Constant_40171" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4399" name="Constant_40172" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4400" name="Gather_40173" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4504,key.169">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4401" name="ShapeOf_40174" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6508" name="Constant_304349" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4402" name="Constant_40175" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6509" name="Constant_304352" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="4403" name="Constant_40176" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4404" name="Gather_40177" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4405" name="Add_40178" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="3475">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6510" name="Constant_304355" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4406" name="Constant_18159" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6511" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4407" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4510,k.57">
+				<port id="5" precision="FP32" names="3479">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6512" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4408" name="__module.model.gpt_neox.layers.27.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91532,13 +66385,25 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4548">
+				<port id="4" precision="FP32" names="3480,attn_output.217">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91546,24 +66411,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6513" name="Constant_304359" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4409" name="__module.model.gpt_neox.layers.27.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6514" name="Constant_304358" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6515" name="__module.model.gpt_neox.layers.28.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4410" name="__module.model.gpt_neox.layers.27.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91571,1038 +66427,1035 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3481">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6516" name="__module.model.gpt_neox.layers.28.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="4411" name="Constant_40562" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6517" name="__module.model.gpt_neox.layers.28.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4412" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4549,4554" />
+				<port id="2" precision="FP32" names="3484">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6518" name="__module.model.gpt_neox.layers.28.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="4413" name="self.model.gpt_neox.layers.27.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2277128328" size="6553600" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6519" name="__module.model.gpt_neox.layers.28.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
+		<layer id="4414" name="Convert_74648" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4551,4552,4556,4557" />
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6520" name="Constant_337868" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4415" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2283681928" size="2560" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U8">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6521" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4416" name="Convert_74651" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="U8">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4417" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
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@@ -92613,53 +67466,73 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
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+		<layer id="4482" name="Constant_18409" type="Const" version="opset1">
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+		<layer id="4483" name="Constant_18411" type="Const" version="opset1">
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+		<layer id="4484" name="Constant_18413" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -92667,27 +67540,46 @@
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 					<dim>80</dim>
 				</port>
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@@ -92695,1016 +67587,890 @@
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@@ -93713,17 +68479,20 @@
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@@ -93731,15 +68500,15 @@
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@@ -93752,7 +68521,7 @@
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@@ -93760,32 +68529,41 @@
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@@ -93793,951 +68571,1272 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="4552" name="Constant_40244" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
+			</output>
+		</layer>
+		<layer id="4553" name="Constant_40245" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4554" name="Gather_40246" type="Gather" version="opset8">
+			<data batch_dims="0" />
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+				<port id="0" precision="I64">
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 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64" />
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 			<output>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4555" name="ShapeOf_40247" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
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-			<data element_type="f32" shape="2048, 80" offset="148992448" size="655360" />
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 			<output>
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-					<dim>80</dim>
+				<port id="1" precision="I64">
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 			</output>
 		</layer>
-		<layer id="6673" name="__module.model.gpt_neox.layers.29.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4556" name="Constant_40248" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
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+		<layer id="4557" name="Constant_40249" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4558" name="Gather_40250" type="Gather" version="opset8">
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+				<port id="1" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="149647808" size="32" />
-			<output>
+		<layer id="4559" name="Add_40251" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="I64">
-					<dim>4</dim>
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+				<port id="1" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4560" name="Constant_18789" type="Const" version="opset1">
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 				<port id="0" precision="I64">
-					<dim>4</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-			<data axis="0" />
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+		<layer id="4574" name="self.model.gpt_neox.layers.28.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
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+		<layer id="4628" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4652">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6734" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4629" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
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 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3643,qkv.119">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6735" name="Constant_304700" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4630" name="Constant_18985" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6736" name="Constant_304703" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="4631" name="Constant_18987" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6737" name="Constant_304706" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4632" name="Constant_18989" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6738" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4633" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4659,k.59">
+				<port id="5" precision="FP32" names="3644">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6739" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4634" name="Constant_18998" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3645">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4635" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4697">
+				<port id="2" precision="FP32" names="3646,query.59">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94745,24 +69844,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6740" name="Constant_304710" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4636" name="Constant_19039" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6741" name="Constant_304709" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4637" name="Constant_19041" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6742" name="__module.model.gpt_neox.layers.29.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4638" name="Constant_19043" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4639" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94770,119 +69876,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6743" name="__module.model.gpt_neox.layers.29.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6744" name="__module.model.gpt_neox.layers.29.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4698,4703" />
-			</output>
-		</layer>
-		<layer id="6745" name="__module.model.gpt_neox.layers.29.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6746" name="__module.model.gpt_neox.layers.29.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4700,4701,4705,4706" />
-			</output>
-		</layer>
-		<layer id="6747" name="Constant_337878" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3653,q.59">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6748" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4640" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3659">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6749" name="Constant_304708" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4641" name="Constant_19197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6750" name="ScatterUpdate_304711" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="6751" name="Constant_304714" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4642" name="Constant_19199" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6752" name="Constant_304717" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4643" name="Constant_19201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6753" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4644" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94891,17 +69956,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4707,x2.119">
+				<port id="5" precision="FP32" names="3669,x2.117">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94909,8 +69977,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6754" name="Constant_325485" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="4645" name="Constant_37138" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -94920,7 +69988,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6755" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4646" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94937,7 +70005,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4708">
+				<port id="2" precision="FP32" names="3670">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94945,24 +70013,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6756" name="Constant_304762" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4647" name="Constant_19094" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6757" name="Constant_304767" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4648" name="Constant_19138" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4649" name="Constant_19140" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6758" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4650" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94971,17 +70046,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4702">
+				<port id="5" precision="FP32" names="3664">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94989,7 +70067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6759" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="4651" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95006,7 +70084,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4710">
+				<port id="2" precision="FP32" names="3672">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95014,7 +70092,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6760" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="4652" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95031,7 +70109,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4711">
+				<port id="2" precision="FP32" names="3673">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95039,7 +70117,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6761" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4653" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95056,32 +70134,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4712,4716">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
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@@ -95103,7 +70156,7 @@
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@@ -95141,7 +70194,7 @@
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@@ -95158,8 +70211,8 @@
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@@ -95206,32 +70259,31 @@
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+		<layer id="4666" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -95240,17 +70292,20 @@
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -95258,363 +70313,66 @@
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+		<layer id="4668" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
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-		</layer>
-		<layer id="6806" name="ScatterUpdate_304903" type="ScatterUpdate" version="opset3">
+		<layer id="4672" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -95622,186 +70380,168 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6807" name="Constant_304906" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3655,k.59">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6808" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4673" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4735,4736">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3675">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6809" name="__module.model.gpt_neox.layers.29.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="4674" name="Constant_19340" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6810" name="__module.model.gpt_neox.layers.29.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
+		<layer id="4675" name="Constant_19342" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="4723" />
-			</output>
-		</layer>
-		<layer id="6811" name="__module.model.gpt_neox.layers.29.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="4676" name="Constant_19344" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="4737,causal_mask.117">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6812" name="Add_317076" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4677" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
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 				</port>
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-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</output>
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-		<layer id="6813" name="ShapeOf_317077" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3685,x2.119">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6814" name="Constant_340635" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4678" name="Constant_37139" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6815" name="Constant_340636" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6816" name="Gather_340637" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4679" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="4721">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3686">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6817" name="Constant_268251" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4680" name="Constant_19237" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6818" name="Constant_268253" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4681" name="Constant_19281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6819" name="Constant_268255" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4682" name="Constant_19283" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6820" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4683" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -95812,53 +70552,46 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="4738">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6821" name="Maximum_317078" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3680">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6822" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4684" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4740">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3688">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6823" name="__module.model.gpt_neox.layers.29.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="4685" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95867,26 +70600,14 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4741,4742,sdpa_result.59,tensor.117">
+				<port id="2" precision="FP32" names="3689">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95894,15 +70615,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6824" name="Constant_17540" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4743">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6825" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4686" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95910,531 +70624,549 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4744">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="3690,3694">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6826" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6827" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="4687" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4749">
+				<port id="2" precision="FP32" names="present.29.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6828" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="2441015428" size="6553600" />
+		<layer id="4688" name="Constant_52810" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6829" name="Convert_450142" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="4689" name="Constant_52803" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6830" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2447569028" size="2560" />
+		<layer id="4690" name="Constant_52805" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6831" name="Convert_450145" type="Convert" version="opset1">
-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U8">
-					<dim>2560</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="4691" name="Constant_52807" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6832" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4692" name="Concat_52808" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP16">
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+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="4" precision="FP32" names="3704,attn_output.233">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 10240" offset="2473852548" size="40960" />
+		<layer id="4717" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6856" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4718" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3705">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data approximation_mode="ERF" />
+		<layer id="4719" name="Constant_40564" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4720" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3708">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data element_type="u8" shape="2560, 10240" offset="2473893508" size="26214400" />
+		<layer id="4721" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2434768008" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6859" name="Convert_450164" type="Convert" version="opset1">
+		<layer id="4722" name="Convert_74670" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6860" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2500107908" size="2560" />
+		<layer id="4723" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2441321608" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -96442,7 +71174,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6861" name="Convert_450167" type="Convert" version="opset1">
+		<layer id="4724" name="Convert_74673" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -96457,12 +71189,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6862" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4725" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -96472,12 +71204,12 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
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 		</layer>
-		<layer id="6863" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2500110468" size="5120" />
+		<layer id="4726" name="self.model.gpt_neox.layers.29.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2441324168" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -96485,12 +71217,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6864" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4727" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
@@ -96500,36 +71232,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6865" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4728" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6866" name="__module.model.gpt_neox.layers.29.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4729" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -96540,8 +71272,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6867" name="Constant_325490" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2500115588" size="10240" />
+		<layer id="4730" name="Constant_37140" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2441329288" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -96550,7 +71282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6868" name="__module.model.gpt_neox.layers.29.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4731" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96565,14 +71297,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4771,input.121">
+				<port id="2" precision="FP32" names="3711,3713,input.117">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6869" name="__module.model.gpt_neox.layers.29/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4732" name="__module.model.gpt_neox.layers.29/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96587,14 +71319,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4773,4775,hidden_states.61">
+				<port id="2" precision="FP32" names="3717,attn_output.239">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6870" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4733" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -96602,7 +71334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6871" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4734" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96622,8 +71354,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6872" name="Constant_325491" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2500125828" size="10240" />
+		<layer id="4735" name="Constant_37141" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2441339528" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -96632,7 +71364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6873" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4736" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96654,8 +71386,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6874" name="Constant_325492" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2500136068" size="10240" />
+		<layer id="4737" name="Constant_37142" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2441349768" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -96664,7 +71396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6875" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4738" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96679,124 +71411,127 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4785">
+				<port id="2" precision="FP32" names="3721">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6876" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2500146308" size="19660800" />
+		<layer id="4739" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="2441360008" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6877" name="Convert_450175" type="Convert" version="opset1">
+		<layer id="4740" name="Convert_73939" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6878" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2519807108" size="7680" />
+		<layer id="4741" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="2467574408" size="10240" />
 			<output>
 				<port id="0" precision="U8">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6879" name="Convert_450178" type="Convert" version="opset1">
+		<layer id="4742" name="Convert_73942" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
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+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6880" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4743" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6881" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 1" offset="2519814788" size="15360" />
+		<layer id="4744" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP16">
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 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6883" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4746" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="6884" name="__module.model.gpt_neox.layers.30.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4747" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -96805,7 +71540,7 @@
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 				</port>
 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
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@@ -96813,756 +71548,663 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 7680" offset="2519830148" size="30720" />
+		<layer id="4748" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2467605128" size="20480" />
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+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4749" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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 		</layer>
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+		<layer id="4750" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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-			<data special_zero="true" />
+		<layer id="4751" name="__module.model.gpt_neox.layers.29.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="4752" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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+		<layer id="4753" name="Convert_73949" type="Convert" version="opset1">
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+				<port id="0" precision="U8">
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+		<layer id="4754" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
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+		<layer id="4756" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
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+		<layer id="4759" name="__module.model.gpt_neox.layers.29.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
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 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3756">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6940" name="Constant_304946" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4788" name="Constant_19628" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="3757">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6941" name="ScatterUpdate_304949" type="ScatterUpdate" version="opset3">
+		<layer id="4789" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3758,query.61">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6942" name="Constant_304952" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4790" name="Constant_19669" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6943" name="Constant_304955" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4791" name="Constant_19671" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4792" name="Constant_19673" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6944" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4793" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -97571,78 +72213,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4840,x2.121">
+				<port id="5" precision="FP32" names="3765,q.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6945" name="Constant_325494" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6946" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="4794" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4841">
+				<port id="2" precision="FP32" names="3771">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6947" name="Constant_305000" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4795" name="Constant_19827" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6948" name="Constant_305005" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4796" name="Constant_19829" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4797" name="Constant_19831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6949" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4798" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -97651,17 +72292,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4835">
+				<port id="5" precision="FP32" names="3781,x2.121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -97669,8 +72313,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6950" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4799" name="Constant_37146" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4800" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -97679,51 +72334,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4843">
+				<port id="2" precision="FP32" names="3782">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6951" name="self.model.gpt_neox.layers.30.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="4801" name="Constant_19724" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.30.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6952" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4802" name="Constant_19768" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6953" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4803" name="Constant_19770" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6954" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4804" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -97735,60 +72390,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4820,4823,sin.121">
+				<port id="5" precision="FP32" names="3776">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6955" name="Constant_38410" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6956" name="__module.model.gpt_neox.layers.30.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4805" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4828">
+				<port id="2" precision="FP32" names="3784">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6957" name="__module.model.gpt_neox.layers.30.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4806" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4829,sin.123">
+				<port id="2" precision="FP32" names="3785">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6958" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4807" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97799,13 +72464,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4844">
+				<port id="2" precision="FP32" names="3786,3804">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -97813,24 +72478,87 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6959" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4808" name="Constant_52822" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4809" name="Constant_52815" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4810" name="Constant_52817" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4811" name="Constant_52819" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4812" name="Concat_52820" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4813" name="Broadcast_52823" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="4814" name="ReadValue_49830" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.30.keypresent.30.key" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4845,4863,4873,query.183,query.185">
+				<port id="1" precision="FP32" names="past_key_values.30.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -97838,28 +72566,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6960" name="Constant_17666" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4815" name="Constant_47509" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="4801">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6961" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4816" name="Gather_47510" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4802,key.181">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -97867,221 +72595,193 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6962" name="Constant_305051" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4817" name="Constant_19633" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6963" name="Constant_305054" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="4818" name="Constant_19635" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6964" name="Constant_305057" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4819" name="Constant_19637" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6965" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4820" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="4808,k.61">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6966" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4846">
+				<port id="5" precision="FP32" names="3759">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6967" name="Constant_305061" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6968" name="Constant_305060" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4821" name="Constant_19646" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="3760">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6969" name="__module.model.gpt_neox.layers.30.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4822" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6970" name="__module.model.gpt_neox.layers.30.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6971" name="__module.model.gpt_neox.layers.30.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4847,4852" />
+				<port id="2" precision="FP32" names="3761,key.121">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6972" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="4823" name="Constant_19689" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6973" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="4824" name="Constant_19691" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="4849,4850,4854,4855" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6974" name="Constant_337888" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4825" name="Constant_19693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6975" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4826" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6976" name="Constant_305059" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3767,k.61">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6977" name="ScatterUpdate_305062" type="ScatterUpdate" version="opset3">
+		<layer id="4827" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3787">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6978" name="Constant_305065" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4828" name="Constant_19970" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6979" name="Constant_305068" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4829" name="Constant_19972" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992548" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4830" name="Constant_19974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6980" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4831" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98090,17 +72790,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4856,x2.123">
+				<port id="5" precision="FP32" names="3797,x2.123">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98108,8 +72811,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6981" name="Constant_325495" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="4832" name="Constant_37147" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -98119,7 +72822,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6982" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4833" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98136,7 +72839,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4857">
+				<port id="2" precision="FP32" names="3798">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98144,24 +72847,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6983" name="Constant_305113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4834" name="Constant_19867" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6984" name="Constant_305118" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4835" name="Constant_19911" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4836" name="Constant_19913" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6985" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4837" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98170,17 +72880,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4851">
+				<port id="5" precision="FP32" names="3792">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98188,7 +72901,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6986" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="4838" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98205,7 +72918,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4859">
+				<port id="2" precision="FP32" names="3800">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98213,7 +72926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6987" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="4839" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98230,7 +72943,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4860">
+				<port id="2" precision="FP32" names="3801">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98238,7 +72951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6988" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4840" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98255,7 +72968,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4861,4865">
+				<port id="2" precision="FP32" names="3802,3806">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98263,7 +72976,7 @@
 				</port>
 			</output>
 		</layer>
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 			<data axis="-2" />
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@@ -98288,13 +73001,13 @@
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 		</layer>
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 				<port id="0" precision="FP32" />
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-		<layer id="6991" name="Constant_433424" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -98302,7 +73015,7 @@
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 			</output>
 		</layer>
-		<layer id="6992" name="Constant_433426" type="Const" version="opset1">
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 				<port id="0" precision="I64">
@@ -98310,7 +73023,7 @@
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 			</output>
 		</layer>
-		<layer id="6993" name="Constant_433428" type="Const" version="opset1">
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 				<port id="0" precision="I64">
@@ -98318,7 +73031,7 @@
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 			</output>
 		</layer>
-		<layer id="6994" name="Concat_433429" type="Concat" version="opset1">
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 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -98340,7 +73053,7 @@
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 			</output>
 		</layer>
-		<layer id="6995" name="Broadcast_433432" type="Broadcast" version="opset3">
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 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -98357,7 +73070,7 @@
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 			</output>
 		</layer>
-		<layer id="6996" name="ReadValue_417380" type="ReadValue" version="opset6">
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 			<data variable_id="past_key_values.30.valuepresent.30.value" variable_type="f32" variable_shape="?,32,?,80" />
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 				<port id="0" precision="FP32">
@@ -98376,13 +73089,13 @@
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 			</output>
 		</layer>
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+		<layer id="4849" name="Constant_47512" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="6998" name="Gather_402074" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98405,32 +73118,31 @@
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 			</output>
 		</layer>
-		<layer id="6999" name="Constant_305163" type="Const" version="opset1">
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+		<layer id="4851" name="Constant_19651" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4852" name="Constant_19653" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4853" name="Constant_19655" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4854" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98439,17 +73151,20 @@
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 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3762">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -98457,15 +73172,15 @@
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 			</output>
 		</layer>
-		<layer id="7003" name="Constant_17680" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4855" name="Constant_19664" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="3763">
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 				</port>
 			</output>
 		</layer>
-		<layer id="7004" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4856" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98478,7 +73193,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4805">
+				<port id="2" precision="FP32" names="3764">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98486,7 +73201,7 @@
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 			</output>
 		</layer>
-		<layer id="7005" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="4857" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98511,34 +73226,15 @@
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 			</output>
 		</layer>
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+		<layer id="4858" name="Constant_20046" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 				</port>
 			</output>
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-		<layer id="7009" name="ShapeOf_340649" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98554,263 +73250,22 @@
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-		<layer id="7011" name="Constant_340651" type="Const" version="opset1">
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+		<layer id="4860" name="Constant_40390" type="Const" version="opset1">
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-		<layer id="7016" name="Constant_340722" type="Const" version="opset1">
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 			<data batch_dims="0" />
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@@ -98818,121 +73273,22 @@
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-				<port id="2" precision="I64">
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-				</port>
 				<port id="3" precision="I64">
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
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-		<layer id="7036" name="__module.model.gpt_neox.layers.30.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="7037" name="__module.model.gpt_neox.layers.30.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="154497612" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="4872" />
-			</output>
-		</layer>
-		<layer id="7038" name="__module.model.gpt_neox.layers.30.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
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-					<dim>1</dim>
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-				<port id="2" precision="FP32" />
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-					<dim>-1</dim>
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-		<layer id="7039" name="Add_317148" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>1</dim>
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-				<port id="1" precision="FP32">
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 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7040" name="ShapeOf_317149" type="ShapeOf" version="opset3">
+		<layer id="4863" name="ShapeOf_40393" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -98941,21 +73297,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7041" name="Constant_340726" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4864" name="Constant_40394" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7042" name="Constant_340727" type="Const" version="opset1">
+		<layer id="4865" name="Constant_40395" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7043" name="Gather_340728" type="Gather" version="opset8">
+		<layer id="4866" name="Gather_40396" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -98967,40 +73323,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4870">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7044" name="Constant_268261" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
+		<layer id="4867" name="Add_40397" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7045" name="Constant_268263" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="3811">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7046" name="Constant_268265" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4868" name="Constant_20049" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7047" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4869" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -99011,44 +73369,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="4887">
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-				</port>
-			</output>
-		</layer>
-		<layer id="7048" name="Maximum_317150" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="7049" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4889">
+				<port id="5" precision="FP32" names="3815">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -99056,7 +73382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7050" name="__module.model.gpt_neox.layers.30.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4870" name="__module.model.gpt_neox.layers.30.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99085,7 +73411,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4890,4891,sdpa_result.61,tensor.121">
+				<port id="4" precision="FP32" names="3816,attn_output.241">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99093,15 +73419,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7051" name="Constant_18121" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4871" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="148992608" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4892">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7052" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4872" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99109,12 +73435,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4893">
+				<port id="2" precision="FP32" names="3817">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -99122,15 +73448,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7053" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154497644" size="24" />
+		<layer id="4873" name="Constant_40565" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="148992624" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7054" name="__module.model.gpt_neox.layers.30.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4874" name="__module.model.gpt_neox.layers.30.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99144,15 +73470,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4898">
+				<port id="2" precision="FP32" names="3820">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7055" name="self.model.gpt_neox.layers.30.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 2560" offset="2519860868" size="6553600" />
+		<layer id="4875" name="self.model.gpt_neox.layers.30.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 2560" offset="2513587848" size="6553600" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -99160,7 +73486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7056" name="Convert_450186" type="Convert" version="opset1">
+		<layer id="4876" name="Convert_74681" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99175,8 +73501,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7057" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2526414468" size="2560" />
+		<layer id="4877" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2520141448" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -99184,7 +73510,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7058" name="Convert_450189" type="Convert" version="opset1">
+		<layer id="4878" name="Convert_74684" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99199,7 +73525,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7059" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4879" name="self.model.gpt_neox.layers.30.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99218,8 +73544,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7060" name="self.model.gpt_neox.layers.30.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2526417028" size="5120" />
+		<layer id="4880" name="self.model.gpt_neox.layers.30.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2520144008" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99227,7 +73553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7061" name="self.model.gpt_neox.layers.30.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4881" name="self.model.gpt_neox.layers.30.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99246,7 +73572,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7062" name="self.model.gpt_neox.layers.30.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4882" name="self.model.gpt_neox.layers.30.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99261,7 +73587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7063" name="__module.model.gpt_neox.layers.30.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4883" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99282,8 +73608,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7064" name="Constant_325496" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2526422148" size="10240" />
+		<layer id="4884" name="Constant_37148" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2520149128" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99292,7 +73618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7065" name="__module.model.gpt_neox.layers.30.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4885" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99307,14 +73633,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4901,4903,input.123">
+				<port id="2" precision="FP32" names="3823,3825,input.121">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7066" name="__module.model.gpt_neox.layers.30/aten::add/Add" type="Add" version="opset1">
+		<layer id="4886" name="__module.model.gpt_neox.layers.30/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99329,14 +73655,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4907,attn_output.123">
+				<port id="2" precision="FP32" names="3829,attn_output.247">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7067" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4887" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -99344,7 +73670,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7068" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4888" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99364,8 +73690,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7069" name="Constant_325497" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2526432388" size="10240" />
+		<layer id="4889" name="Constant_37149" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2520159368" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99374,7 +73700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7070" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4890" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99396,8 +73722,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7071" name="Constant_325498" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2526442628" size="10240" />
+		<layer id="4891" name="Constant_37150" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2520169608" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99406,7 +73732,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7072" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4892" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99421,15 +73747,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4911">
+				<port id="2" precision="FP32" names="3833">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7073" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="2526452868" size="26214400" />
+		<layer id="4893" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 2560" offset="2520179848" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -99437,7 +73763,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7074" name="Convert_450197" type="Convert" version="opset1">
+		<layer id="4894" name="Convert_73959" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99452,8 +73778,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7075" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="2552667268" size="10240" />
+		<layer id="4895" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="2546394248" size="10240" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>10240</dim>
@@ -99461,7 +73787,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7076" name="Convert_450200" type="Convert" version="opset1">
+		<layer id="4896" name="Convert_73962" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99476,7 +73802,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7077" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4897" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99495,8 +73821,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7078" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="2552677508" size="20480" />
+		<layer id="4898" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="2546404488" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -99504,7 +73830,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7079" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4899" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99523,8 +73849,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7080" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4900" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -99538,7 +73867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7081" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4901" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99559,17 +73888,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7082" name="Constant_325499" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="2552697988" size="40960" />
+		<layer id="4902" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2546424968" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4903" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7083" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4904" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99578,20 +73921,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4916">
+				<port id="2" precision="FP32" names="3838">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7084" name="__module.model.gpt_neox.layers.30.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4905" name="__module.model.gpt_neox.layers.30.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99601,15 +73942,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4917">
+				<port id="1" precision="FP32" names="3839">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7085" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 10240" offset="2552738948" size="26214400" />
+		<layer id="4906" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 10240" offset="2546445448" size="26214400" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -99617,7 +73958,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7086" name="Convert_450208" type="Convert" version="opset1">
+		<layer id="4907" name="Convert_73969" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99632,8 +73973,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7087" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="2560, 1" offset="2578953348" size="2560" />
+		<layer id="4908" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="2572659848" size="2560" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>2560</dim>
@@ -99641,7 +73982,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7088" name="Convert_450211" type="Convert" version="opset1">
+		<layer id="4909" name="Convert_73972" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99656,7 +73997,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7089" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4910" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99675,8 +74016,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7090" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 1" offset="2578955908" size="5120" />
+		<layer id="4911" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="2572662408" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99684,7 +74025,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7091" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4912" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99703,8 +74044,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7092" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4913" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99718,7 +74062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7093" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4914" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99739,17 +74083,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7094" name="Constant_325500" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2578961028" size="10240" />
+		<layer id="4915" name="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2572667528" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7095" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4916" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4917" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99758,20 +74116,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4920,input.125">
+				<port id="2" precision="FP32" names="3842,input.123">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7096" name="__module.model.gpt_neox.layers.30/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4918" name="__module.model.gpt_neox.layers.30/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99786,14 +74142,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4922,4924,hidden_states">
+				<port id="2" precision="FP32" names="3844,3846,hidden_states">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7097" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4919" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -99801,7 +74157,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7098" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4920" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99821,8 +74177,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7099" name="Constant_325501" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2578971268" size="10240" />
+		<layer id="4921" name="Constant_37151" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2572672648" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99831,7 +74187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7100" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4922" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99853,8 +74209,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7101" name="Constant_325502" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="2578981508" size="10240" />
+		<layer id="4923" name="Constant_37152" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="2572682888" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -99863,7 +74219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7102" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4924" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99878,15 +74234,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4934">
+				<port id="2" precision="FP32" names="3856,hidden_states.125">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7103" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 2560" offset="2578991748" size="19660800" />
+		<layer id="4925" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 2560" offset="2572693128" size="19660800" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -99894,7 +74250,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7104" name="Convert_450219" type="Convert" version="opset1">
+		<layer id="4926" name="Convert_74340" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99909,8 +74265,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7105" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="7680, 1" offset="2598652548" size="7680" />
+		<layer id="4927" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="7680, 1" offset="2592353928" size="7680" />
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 				<port id="0" precision="U8">
 					<dim>7680</dim>
@@ -99918,7 +74274,7 @@
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 			</output>
 		</layer>
-		<layer id="7106" name="Convert_450222" type="Convert" version="opset1">
+		<layer id="4928" name="Convert_74343" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -99933,7 +74289,7 @@
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 			</output>
 		</layer>
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -99952,8 +74308,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="7680, 1" offset="2598660228" size="15360" />
+		<layer id="4930" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/scale" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -99961,7 +74317,7 @@
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 			</output>
 		</layer>
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+		<layer id="4931" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99980,7 +74336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7110" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4932" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99995,7 +74351,7 @@
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 			</output>
 		</layer>
-		<layer id="7111" name="__module.model.gpt_neox.layers.31.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4933" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100016,8 +74372,8 @@
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 			</output>
 		</layer>
-		<layer id="7112" name="Constant_325503" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="2598675588" size="30720" />
+		<layer id="4934" name="Constant_37153" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -100026,7 +74382,7 @@
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 			</output>
 		</layer>
-		<layer id="7113" name="__module.model.gpt_neox.layers.31.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4935" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -100041,14 +74397,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4941,qkv.125">
+				<port id="2" precision="FP32" names="3863,qkv.125">
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 					<dim>-1</dim>
 					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="7114" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="4936" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="148992288" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -100056,7 +74412,7 @@
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 			</output>
 		</layer>
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 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100069,7 +74425,7 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -100077,32 +74433,31 @@
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 			</output>
 		</layer>
-		<layer id="7116" name="Constant_305264" type="Const" version="opset1">
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+		<layer id="4938" name="Constant_20281" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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+		<layer id="4939" name="Constant_20283" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4940" name="Constant_20285" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 			</output>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4941" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100110,115 +74465,6 @@
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 					<dim>240</dim>
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-				<port id="3" precision="I64">
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-					<dim>-1</dim>
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-					<dim>80</dim>
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-				<port id="0" precision="I64" names="4953">
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-				</port>
-			</input>
-			<output>
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-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
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-			<input>
-				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7124" name="Constant_433444" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="7125" name="Constant_433437" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="7126" name="Constant_433439" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
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-		<layer id="7127" name="Constant_433441" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-				</port>
-			</output>
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-		<layer id="7128" name="Concat_433442" type="Concat" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
@@ -100228,123 +74474,12 @@
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 					<dim>1</dim>
 				</port>
-			</input>
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 				<port id="4" precision="I64">
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-			</output>
-		</layer>
-		<layer id="7129" name="Broadcast_433445" type="Broadcast" version="opset3">
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-		<layer id="7130" name="ReadValue_417382" type="ReadValue" version="opset6">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		<layer id="7131" name="Constant_402076" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="7132" name="Gather_402077" type="Gather" version="opset8">
-			<data batch_dims="0" />
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-				<port id="0" precision="FP32">
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-				<port id="2" precision="I64" />
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-		<layer id="7133" name="Constant_305276" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="7134" name="Constant_305279" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="7135" name="Constant_305282" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-					<dim>240</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4949">
+				<port id="5" precision="FP32" names="3874">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -100352,15 +74487,15 @@
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 			</output>
 		</layer>
-		<layer id="7137" name="Constant_18247" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="4942" name="Constant_20294" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4950">
+				<port id="0" precision="I64" names="3875">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7138" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4943" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100373,7 +74508,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4951,key.187">
+				<port id="2" precision="FP32" names="3876">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -100381,32 +74516,8 @@
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 			</output>
 		</layer>
-		<layer id="7139" name="Constant_305288" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="7140" name="Constant_305291" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="7141" name="Constant_305294" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="7142" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4944" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100414,166 +74525,57 @@
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 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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-				<port id="3" precision="I64">
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-			</input>
-			<output>
-				<port id="4" precision="FP32" names="4957,k">
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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 		</layer>
-		<layer id="7151" name="Constant_340737" type="Const" version="opset1">
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+		<layer id="4946" name="Constant_52846" type="Const" version="opset1">
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-				<port id="2" precision="I64" />
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+		<layer id="4947" name="Constant_52839" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
-				<port id="3" precision="I64" names="4961">
+				<port id="0" precision="I64">
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 			</output>
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-				</port>
-			</input>
+		<layer id="4948" name="Constant_52841" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" names="4960,4964,4965,seq_len.125">
+				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="7154" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4949" name="Constant_52843" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4950" name="Concat_52844" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -100586,59 +74588,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4968,4971,cos.125">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7156" name="Constant_38413" type="Const" version="opset1">
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-				<port id="0" precision="I32" />
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-		<layer id="7157" name="__module.model.gpt_neox.layers.31.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4951" name="Broadcast_52847" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4974">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7158" name="__module.model.gpt_neox.layers.31.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="4952" name="ReadValue_49834" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.31.keypresent.31.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4975,cos">
+				<port id="1" precision="FP32" names="past_key_values.31.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7159" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4953" name="Constant_47515" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4954" name="Gather_47516" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100646,15 +74644,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4995">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -100662,144 +74658,114 @@
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 			</output>
 		</layer>
-		<layer id="7160" name="Constant_305299" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4955" name="Constant_20263" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="7161" name="Constant_305298" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="4956" name="Constant_20265" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992560" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="4957" name="Constant_20267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4958" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-				<port id="0" precision="I32" />
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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-			<output>
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-				<port id="1" precision="I64" />
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-				<port id="0" precision="I64" />
-			</input>
-			<output>
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-		</layer>
-		<layer id="7167" name="Constant_337896" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7168" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3871">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7169" name="Constant_305297" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4959" name="Constant_20276" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="3872">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4960" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3873,key.125">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7171" name="Constant_305303" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="149647864" size="32" />
+		<layer id="4961" name="Constant_20319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7172" name="Constant_305306" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4962" name="Constant_20321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4963" name="Constant_20323" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7173" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4964" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100808,78 +74774,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="5005,x2">
+				<port id="5" precision="FP32" names="3879,k">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7175" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="4965" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3899">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7176" name="Constant_305351" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="4966" name="Constant_20600" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7177" name="Constant_305356" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="4967" name="Constant_20602" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4968" name="Constant_20604" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7178" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4969" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100888,17 +74853,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="5000">
+				<port id="5" precision="FP32" names="3909,x2">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -100906,8 +74874,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7179" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4970" name="Constant_37154" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4971" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100916,51 +74895,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5008">
+				<port id="2" precision="FP32" names="3910">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7180" name="self.model.gpt_neox.layers.31.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="149647900" size="655360" />
+		<layer id="4972" name="Constant_20497" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.31.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7181" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4973" name="Constant_20541" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7182" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+		<layer id="4974" name="Constant_20543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7183" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4975" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -100972,60 +74951,45 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4969,4972,sin.125">
+				<port id="5" precision="FP32" names="3904">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7184" name="Constant_38416" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="7185" name="__module.model.gpt_neox.layers.31.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4976" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="4977">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7186" name="__module.model.gpt_neox.layers.31.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4978,sin">
+				<port id="2" precision="FP32" names="3912">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7187" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4977" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101042,7 +75006,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5009">
+				<port id="2" precision="FP32" names="3913">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101050,7 +75014,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7188" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="4978" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101067,7 +75031,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5010,5014">
+				<port id="2" precision="FP32" names="3914,3918">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101075,7 +75039,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7189" name="__module.model.gpt_neox.layers.31.attention/aten::to/Convert" type="Concat" version="opset1">
+		<layer id="4979" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_3" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101100,32 +75064,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7241" name="Constant_305402" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="5031" name="Constant_20245" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7242" name="Constant_305405" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="5032" name="Constant_20247" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7243" name="Constant_305408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="5033" name="Constant_20249" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7244" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="5034" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101134,17 +75097,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4946">
+				<port id="5" precision="FP32" names="3868">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -101152,15 +75118,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7245" name="Constant_18233" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992416" size="32" />
+		<layer id="5035" name="Constant_20258" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="148992336" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4947">
+				<port id="0" precision="I64" names="3869">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7246" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="5036" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101173,7 +75139,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4948,query.187">
+				<port id="2" precision="FP32" names="3870,query">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101181,32 +75147,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7247" name="Constant_305414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="5037" name="Constant_20299" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7248" name="Constant_305417" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992352" size="32" />
+		<layer id="5038" name="Constant_20301" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7249" name="Constant_305420" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="5039" name="Constant_20303" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7250" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="5040" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101215,17 +75180,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4955,q">
+				<port id="5" precision="FP32" names="3877,q">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101233,7 +75201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7251" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="5041" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101250,7 +75218,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4979">
+				<port id="2" precision="FP32" names="3883">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101258,144 +75226,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7252" name="Constant_305424" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7253" name="Constant_305423" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647856" size="8" />
+		<layer id="5042" name="Constant_20457" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7254" name="__module.model.gpt_neox.layers.31.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7255" name="__module.model.gpt_neox.layers.31.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="7256" name="__module.model.gpt_neox.layers.31.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4980,4985" />
-			</output>
-		</layer>
-		<layer id="7257" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7258" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4982,4983,4987,4988" />
-			</output>
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-		<layer id="7259" name="Constant_337898" type="Const" version="opset1">
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-		<layer id="7261" name="Constant_305422" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="5044" name="Constant_20461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="5045" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -101404,17 +75259,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101422,8 +75280,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7266" name="Constant_325505" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="149647896" size="4" />
+		<layer id="5046" name="Constant_37155" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="148992556" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -101433,7 +75291,7 @@
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 			</output>
 		</layer>
-		<layer id="7267" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="5047" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -101450,7 +75308,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4990">
+				<port id="2" precision="FP32" names="3894">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101458,24 +75316,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7268" name="Constant_305476" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992320" size="32" />
+		<layer id="5048" name="Constant_20354" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="7269" name="Constant_305481" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="148992384" size="32" />
+		<layer id="5049" name="Constant_20398" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992540" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5050" name="Constant_20400" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7270" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_9" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="5051" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_9" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101484,17 +75349,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4984">
+				<port id="5" precision="FP32" names="3888">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101502,7 +75370,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7271" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+		<layer id="5052" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101519,7 +75387,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4992">
+				<port id="2" precision="FP32" names="3896">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101527,7 +75395,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7272" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="5053" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101544,7 +75412,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4993">
+				<port id="2" precision="FP32" names="3897">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101552,7 +75420,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7273" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="5054" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101569,7 +75437,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4994,5012,5022,query,query.189">
+				<port id="2" precision="FP32" names="3898,3916">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101577,34 +75445,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7274" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="7275" name="Constant_305524" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="7276" name="Constant_305523" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647848" size="8" />
+		<layer id="5055" name="Constant_20676" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7277" name="ShapeOf_340740" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101620,83 +75469,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7278" name="Constant_340741" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="7279" name="Constant_340742" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="5057" name="Constant_40463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="7280" name="Gather_340743" type="Gather" version="opset8">
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-			<input>
 				<port id="0" precision="I64">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7282" name="Constant_340745" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647840" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7283" name="Constant_340746" type="Const" version="opset1">
+		<layer id="5058" name="Constant_40464" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7284" name="Gather_340747" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="5026" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7286" name="ShapeOf_340815" type="ShapeOf" version="opset3">
+		<layer id="5060" name="ShapeOf_40466" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101712,75 +75516,68 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7287" name="Constant_340816" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="149647848" size="8" />
+		<layer id="5061" name="Constant_40467" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992576" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7288" name="Constant_340817" type="Const" version="opset1">
+		<layer id="5062" name="Constant_40468" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7289" name="Gather_340818" type="Gather" version="opset8">
+		<layer id="5063" name="Gather_40469" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="5024" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7290" name="__module.model.gpt_neox.layers.31.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="5064" name="Add_40470" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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-		</layer>
-		<layer id="7291" name="Constant_337900" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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-		<layer id="7292" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
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-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="3923">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7293" name="Constant_305522" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="5065" name="Constant_20679" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="148992320" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7294" name="ScatterUpdate_305525" type="ScatterUpdate" version="opset3">
+		<layer id="5066" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -101788,502 +75585,615 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
 				<port id="4" precision="I64">
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-		<layer id="7295" name="Constant_305526" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="7296" name="Constant_337902" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="149647840" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="5" precision="FP32" names="3927">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="5100" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="5103" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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 		</layer>
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 		</layer>
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+		<layer id="5105" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
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@@ -102291,7 +76201,7 @@
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 		</layer>
-		<layer id="7330" name="Convert_450233" type="Convert" version="opset1">
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 			<input>
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@@ -102306,12 +76216,12 @@
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 					<dim>2560</dim>
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+		<layer id="5108" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
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@@ -102334,350 +76244,45 @@
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 		</layer>
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-		<layer id="7352" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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-			<data auto_broadcast="numpy" />
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+			<data element_type="f16" shape="2560" offset="2651487368" size="5120" />
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+		<layer id="5113" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
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 				<port id="0" precision="FP16">
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-		<layer id="7367" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="5114" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -102865,20 +76335,18 @@
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 			<output>
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+		<layer id="5115" name="__module.model.gpt_neox.layers.31/aten::add/Add_1" type="Add" version="opset1">
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@@ -102893,14 +76361,14 @@
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 			<output>
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-		<layer id="7369" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="5116" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -102908,7 +76376,7 @@
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+		<layer id="5117" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -102928,8 +76396,8 @@
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+		<layer id="5118" name="Constant_37159" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -102938,7 +76406,7 @@
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 		</layer>
-		<layer id="7372" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="5119" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -102960,8 +76428,8 @@
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-			<data element_type="f32" shape="1, 1, 2560" offset="2657826948" size="10240" />
+		<layer id="5120" name="Constant_37160" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -102970,7 +76438,7 @@
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 		</layer>
-		<layer id="7374" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="5121" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -102985,15 +76453,15 @@
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 			<output>
-				<port id="2" precision="FP32" names="5079,5081">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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+		<layer id="5122" name="self.model.embed_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="50432, 2560" offset="2651512968" size="129105920" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>50432</dim>
@@ -103001,7 +76469,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7376" name="Convert_450263" type="Convert" version="opset1">
+		<layer id="5123" name="Convert_73349" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -103016,8 +76484,8 @@
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-		<layer id="7377" name="self.model.embed_out.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="50432, 1" offset="2786943108" size="50432" />
+		<layer id="5124" name="self.model.embed_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="50432, 1" offset="2780618888" size="50432" />
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 				<port id="0" precision="U8">
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@@ -103025,7 +76493,7 @@
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 			</output>
 		</layer>
-		<layer id="7378" name="Convert_450266" type="Convert" version="opset1">
+		<layer id="5125" name="Convert_73352" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -103040,7 +76508,7 @@
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 			</output>
 		</layer>
-		<layer id="7379" name="self.model.embed_out.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="5126" name="self.model.embed_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -103059,8 +76527,8 @@
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 		</layer>
-		<layer id="7380" name="self.model.embed_out.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="50432, 1" offset="2786993540" size="100864" />
+		<layer id="5127" name="self.model.embed_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="50432, 1" offset="2780669320" size="100864" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -103068,7 +76536,7 @@
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 			</output>
 		</layer>
-		<layer id="7381" name="self.model.embed_out.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="5128" name="self.model.embed_out.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -103087,8 +76555,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7382" name="self.model.embed_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="5129" name="__module.model.embed_out/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>50432</dim>
@@ -103102,7 +76573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7383" name="__module.model.embed_out/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="5130" name="__module.model.embed_out/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103123,7 +76594,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7240" name="Assign_417283" type="Assign" version="opset6">
+		<layer id="5030" name="Assign_49735" type="Assign" version="opset6">
 			<data variable_id="past_key_values.0.keypresent.0.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103142,7 +76613,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7239" name="Assign_417285" type="Assign" version="opset6">
+		<layer id="5029" name="Assign_49737" type="Assign" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103161,7 +76632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7238" name="Assign_417287" type="Assign" version="opset6">
+		<layer id="5028" name="Assign_49739" type="Assign" version="opset6">
 			<data variable_id="past_key_values.1.keypresent.1.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103180,7 +76651,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7237" name="Assign_417289" type="Assign" version="opset6">
+		<layer id="5027" name="Assign_49741" type="Assign" version="opset6">
 			<data variable_id="past_key_values.1.valuepresent.1.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103199,7 +76670,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7236" name="Assign_417291" type="Assign" version="opset6">
+		<layer id="5026" name="Assign_49743" type="Assign" version="opset6">
 			<data variable_id="past_key_values.10.keypresent.10.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103218,7 +76689,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7235" name="Assign_417293" type="Assign" version="opset6">
+		<layer id="5025" name="Assign_49745" type="Assign" version="opset6">
 			<data variable_id="past_key_values.10.valuepresent.10.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103237,7 +76708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7234" name="Assign_417295" type="Assign" version="opset6">
+		<layer id="5024" name="Assign_49747" type="Assign" version="opset6">
 			<data variable_id="past_key_values.11.keypresent.11.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103256,7 +76727,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7233" name="Assign_417297" type="Assign" version="opset6">
+		<layer id="5023" name="Assign_49749" type="Assign" version="opset6">
 			<data variable_id="past_key_values.11.valuepresent.11.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103275,7 +76746,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7232" name="Assign_417299" type="Assign" version="opset6">
+		<layer id="5022" name="Assign_49751" type="Assign" version="opset6">
 			<data variable_id="past_key_values.12.keypresent.12.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103294,7 +76765,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7231" name="Assign_417301" type="Assign" version="opset6">
+		<layer id="5021" name="Assign_49753" type="Assign" version="opset6">
 			<data variable_id="past_key_values.12.valuepresent.12.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103313,7 +76784,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7230" name="Assign_417303" type="Assign" version="opset6">
+		<layer id="5020" name="Assign_49755" type="Assign" version="opset6">
 			<data variable_id="past_key_values.13.keypresent.13.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103332,7 +76803,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7229" name="Assign_417305" type="Assign" version="opset6">
+		<layer id="5019" name="Assign_49757" type="Assign" version="opset6">
 			<data variable_id="past_key_values.13.valuepresent.13.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103351,7 +76822,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7228" name="Assign_417307" type="Assign" version="opset6">
+		<layer id="5018" name="Assign_49759" type="Assign" version="opset6">
 			<data variable_id="past_key_values.14.keypresent.14.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103370,7 +76841,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7227" name="Assign_417309" type="Assign" version="opset6">
+		<layer id="5017" name="Assign_49761" type="Assign" version="opset6">
 			<data variable_id="past_key_values.14.valuepresent.14.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103389,7 +76860,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7226" name="Assign_417311" type="Assign" version="opset6">
+		<layer id="5016" name="Assign_49763" type="Assign" version="opset6">
 			<data variable_id="past_key_values.15.keypresent.15.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103408,7 +76879,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7225" name="Assign_417313" type="Assign" version="opset6">
+		<layer id="5015" name="Assign_49765" type="Assign" version="opset6">
 			<data variable_id="past_key_values.15.valuepresent.15.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103427,7 +76898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7224" name="Assign_417315" type="Assign" version="opset6">
+		<layer id="5014" name="Assign_49767" type="Assign" version="opset6">
 			<data variable_id="past_key_values.16.keypresent.16.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103446,7 +76917,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7223" name="Assign_417317" type="Assign" version="opset6">
+		<layer id="5013" name="Assign_49769" type="Assign" version="opset6">
 			<data variable_id="past_key_values.16.valuepresent.16.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103465,7 +76936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7222" name="Assign_417319" type="Assign" version="opset6">
+		<layer id="5012" name="Assign_49771" type="Assign" version="opset6">
 			<data variable_id="past_key_values.17.keypresent.17.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103484,7 +76955,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7221" name="Assign_417321" type="Assign" version="opset6">
+		<layer id="5011" name="Assign_49773" type="Assign" version="opset6">
 			<data variable_id="past_key_values.17.valuepresent.17.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103503,7 +76974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7220" name="Assign_417323" type="Assign" version="opset6">
+		<layer id="5010" name="Assign_49775" type="Assign" version="opset6">
 			<data variable_id="past_key_values.18.keypresent.18.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103522,7 +76993,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7219" name="Assign_417325" type="Assign" version="opset6">
+		<layer id="5009" name="Assign_49777" type="Assign" version="opset6">
 			<data variable_id="past_key_values.18.valuepresent.18.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103541,7 +77012,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7218" name="Assign_417327" type="Assign" version="opset6">
+		<layer id="5008" name="Assign_49779" type="Assign" version="opset6">
 			<data variable_id="past_key_values.19.keypresent.19.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103560,7 +77031,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7217" name="Assign_417329" type="Assign" version="opset6">
+		<layer id="5007" name="Assign_49781" type="Assign" version="opset6">
 			<data variable_id="past_key_values.19.valuepresent.19.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103579,7 +77050,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7216" name="Assign_417331" type="Assign" version="opset6">
+		<layer id="5006" name="Assign_49783" type="Assign" version="opset6">
 			<data variable_id="past_key_values.2.keypresent.2.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103598,7 +77069,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7215" name="Assign_417333" type="Assign" version="opset6">
+		<layer id="5005" name="Assign_49785" type="Assign" version="opset6">
 			<data variable_id="past_key_values.2.valuepresent.2.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103617,7 +77088,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7214" name="Assign_417335" type="Assign" version="opset6">
+		<layer id="5004" name="Assign_49787" type="Assign" version="opset6">
 			<data variable_id="past_key_values.20.keypresent.20.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103636,7 +77107,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7213" name="Assign_417337" type="Assign" version="opset6">
+		<layer id="5003" name="Assign_49789" type="Assign" version="opset6">
 			<data variable_id="past_key_values.20.valuepresent.20.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103655,7 +77126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7212" name="Assign_417339" type="Assign" version="opset6">
+		<layer id="5002" name="Assign_49791" type="Assign" version="opset6">
 			<data variable_id="past_key_values.21.keypresent.21.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103674,7 +77145,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7211" name="Assign_417341" type="Assign" version="opset6">
+		<layer id="5001" name="Assign_49793" type="Assign" version="opset6">
 			<data variable_id="past_key_values.21.valuepresent.21.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103693,7 +77164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7210" name="Assign_417343" type="Assign" version="opset6">
+		<layer id="5000" name="Assign_49795" type="Assign" version="opset6">
 			<data variable_id="past_key_values.22.keypresent.22.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103712,7 +77183,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7209" name="Assign_417345" type="Assign" version="opset6">
+		<layer id="4999" name="Assign_49797" type="Assign" version="opset6">
 			<data variable_id="past_key_values.22.valuepresent.22.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103731,7 +77202,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7208" name="Assign_417347" type="Assign" version="opset6">
+		<layer id="4998" name="Assign_49799" type="Assign" version="opset6">
 			<data variable_id="past_key_values.23.keypresent.23.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103750,7 +77221,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7207" name="Assign_417349" type="Assign" version="opset6">
+		<layer id="4997" name="Assign_49801" type="Assign" version="opset6">
 			<data variable_id="past_key_values.23.valuepresent.23.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103769,7 +77240,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7206" name="Assign_417351" type="Assign" version="opset6">
+		<layer id="4996" name="Assign_49803" type="Assign" version="opset6">
 			<data variable_id="past_key_values.24.keypresent.24.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103788,7 +77259,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7205" name="Assign_417353" type="Assign" version="opset6">
+		<layer id="4995" name="Assign_49805" type="Assign" version="opset6">
 			<data variable_id="past_key_values.24.valuepresent.24.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103807,7 +77278,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7204" name="Assign_417355" type="Assign" version="opset6">
+		<layer id="4994" name="Assign_49807" type="Assign" version="opset6">
 			<data variable_id="past_key_values.25.keypresent.25.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103826,7 +77297,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7203" name="Assign_417357" type="Assign" version="opset6">
+		<layer id="4993" name="Assign_49809" type="Assign" version="opset6">
 			<data variable_id="past_key_values.25.valuepresent.25.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103845,7 +77316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7202" name="Assign_417359" type="Assign" version="opset6">
+		<layer id="4992" name="Assign_49811" type="Assign" version="opset6">
 			<data variable_id="past_key_values.26.keypresent.26.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103864,7 +77335,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7201" name="Assign_417361" type="Assign" version="opset6">
+		<layer id="4991" name="Assign_49813" type="Assign" version="opset6">
 			<data variable_id="past_key_values.26.valuepresent.26.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103883,7 +77354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7200" name="Assign_417363" type="Assign" version="opset6">
+		<layer id="4990" name="Assign_49815" type="Assign" version="opset6">
 			<data variable_id="past_key_values.27.keypresent.27.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103902,7 +77373,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7199" name="Assign_417365" type="Assign" version="opset6">
+		<layer id="4989" name="Assign_49817" type="Assign" version="opset6">
 			<data variable_id="past_key_values.27.valuepresent.27.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103921,7 +77392,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7198" name="Assign_417367" type="Assign" version="opset6">
+		<layer id="4988" name="Assign_49819" type="Assign" version="opset6">
 			<data variable_id="past_key_values.28.keypresent.28.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103940,7 +77411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7197" name="Assign_417369" type="Assign" version="opset6">
+		<layer id="4987" name="Assign_49821" type="Assign" version="opset6">
 			<data variable_id="past_key_values.28.valuepresent.28.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103959,7 +77430,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7196" name="Assign_417371" type="Assign" version="opset6">
+		<layer id="4986" name="Assign_49823" type="Assign" version="opset6">
 			<data variable_id="past_key_values.29.keypresent.29.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103978,7 +77449,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7195" name="Assign_417373" type="Assign" version="opset6">
+		<layer id="4985" name="Assign_49825" type="Assign" version="opset6">
 			<data variable_id="past_key_values.29.valuepresent.29.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103997,7 +77468,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7194" name="Assign_417375" type="Assign" version="opset6">
+		<layer id="4984" name="Assign_49827" type="Assign" version="opset6">
 			<data variable_id="past_key_values.3.keypresent.3.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104016,7 +77487,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7193" name="Assign_417377" type="Assign" version="opset6">
+		<layer id="4983" name="Assign_49829" type="Assign" version="opset6">
 			<data variable_id="past_key_values.3.valuepresent.3.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104035,7 +77506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7192" name="Assign_417379" type="Assign" version="opset6">
+		<layer id="4982" name="Assign_49831" type="Assign" version="opset6">
 			<data variable_id="past_key_values.30.keypresent.30.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104054,7 +77525,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7191" name="Assign_417381" type="Assign" version="opset6">
+		<layer id="4981" name="Assign_49833" type="Assign" version="opset6">
 			<data variable_id="past_key_values.30.valuepresent.30.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104073,7 +77544,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7190" name="Assign_417383" type="Assign" version="opset6">
+		<layer id="4980" name="Assign_49835" type="Assign" version="opset6">
 			<data variable_id="past_key_values.31.keypresent.31.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104092,7 +77563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7123" name="Assign_417385" type="Assign" version="opset6">
+		<layer id="4945" name="Assign_49837" type="Assign" version="opset6">
 			<data variable_id="past_key_values.31.valuepresent.31.value" />
 			<input>
 				<port id="0" precision="FP32">
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 	</edges>
 	<rt_info>
-		<Runtime_version value="2024.2.0-15519-5c0f38f83f6-releases/2024/2" />
+		<Runtime_version value="2024.5.0-16901-32aaa2fbd96" />
 		<conversion_parameters>
 			<framework value="pytorch" />
 			<is_python_object value="True" />
@@ -112987,11 +83917,13 @@
 		<nncf>
 			<friendly_names_were_updated value="True" />
 			<weight_compression>
+				<advanced_parameters value="{'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
 				<all_layers value="False" />
 				<awq value="False" />
 				<gptq value="False" />
 				<group_size value="-1" />
 				<ignored_scope value="[]" />
+				<lora_correction value="False" />
 				<mode value="int8_asym" />
 				<ratio value="1" />
 				<scale_estimation value="False" />
@@ -112999,11 +83931,10 @@
 			</weight_compression>
 		</nncf>
 		<optimum>
-			<nncf_version value="2.12.0.dev0+d033c6a8" />
-			<optimum_intel_version value="1.19.0.dev0+480eea1" />
-			<optimum_version value="1.21.2" />
-			<pytorch_version value="2.3.1+cpu" />
-			<transformers_version value="4.41.2" />
+			<optimum_intel_version value="1.20.0.dev0+2559620" />
+			<optimum_version value="1.23.1" />
+			<pytorch_version value="2.4.1+cpu" />
+			<transformers_version value="4.45.2" />
 		</optimum>
 	</rt_info>
 </net>