diff --git "a/ov_model.xml" "b/ov_model.xml"
--- "a/ov_model.xml"
+++ "b/ov_model.xml"
@@ -406,7 +406,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="50" name="/nncf_module/vit/embeddings/Shape" type="ShapeOf" version="opset3">
+		<layer id="50" name="Shape_82" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -417,24 +417,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/embeddings/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_642">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="51" name="/nncf_module/vit/embeddings/Constant" type="Const" version="opset1">
+		<layer id="51" name="Constant_83" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_643" />
 			</output>
 		</layer>
-		<layer id="52" name="Constant_130" type="Const" version="opset1">
+		<layer id="52" name="Constant_134" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="53" name="/nncf_module/vit/embeddings/Gather" type="Gather" version="opset8">
+		<layer id="53" name="Gather_84" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -444,10 +444,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/embeddings/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_644" />
 			</output>
 		</layer>
-		<layer id="54" name="Constant_283" type="Const" version="opset1">
+		<layer id="54" name="Constant_287" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -455,7 +455,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="55" name="/nncf_module/vit/embeddings/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="55" name="Unsqueeze_95" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -463,28 +463,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/embeddings/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_657">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="56" name="/nncf_module/vit/embeddings/Constant_1" type="Const" version="opset1">
+		<layer id="56" name="onnx::Concat_2446" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/Constant_1_output_0">
+				<port id="0" precision="I64" names="onnx::Concat_2445,onnx::Concat_2446">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="/nncf_module/vit/embeddings/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="261128" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="58" name="/nncf_module/vit/embeddings/Concat" type="Concat" version="opset1">
+		<layer id="57" name="Concat_96" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -498,20 +490,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/embeddings/Concat_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_660">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="59" name="/nncf_module/vit/embeddings/Constant_3" type="Const" version="opset1">
+		<layer id="58" name="Constant_97" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/Constant_3_output_0">
+				<port id="0" precision="I64" names="onnx::Reshape_661">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="60" name="/nncf_module/vit/embeddings/Reshape" type="Reshape" version="opset1">
+		<layer id="59" name="Reshape_98" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -522,18 +514,18 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/embeddings/Reshape_output_0">
+				<port id="2" precision="I64" names="onnx::Shape_662">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="61" name="Constant_297" type="Const" version="opset1">
+		<layer id="60" name="Constant_299" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="62" name="/nncf_module/vit/embeddings/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="61" name="Shape_99" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -541,12 +533,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/embeddings/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::ConstantOfShape_663">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="63" name="/nncf_module/vit/embeddings/ConstantOfShape" type="Broadcast" version="opset3">
+		<layer id="62" name="ConstantOfShape_100" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="I64" />
@@ -555,18 +547,18 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/embeddings/ConstantOfShape_output_0">
+				<port id="2" precision="I64" names="onnx::Mul_664">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="64" name="/nncf_module/vit/embeddings/Constant_4" type="Const" version="opset1">
+		<layer id="63" name="Constant_101" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Mul_665" />
 			</output>
 		</layer>
-		<layer id="65" name="/nncf_module/vit/embeddings/Mul" type="Multiply" version="opset1">
+		<layer id="64" name="Mul_102" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -575,12 +567,12 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/embeddings/Mul_output_0">
+				<port id="2" precision="I64" names="onnx::Equal_666">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="66" name="/nncf_module/vit/embeddings/Equal" type="Equal" version="opset1">
+		<layer id="65" name="Equal_103" type="Equal" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -591,12 +583,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="BOOL" names="/nncf_module/vit/embeddings/Equal_output_0">
+				<port id="2" precision="BOOL" names="onnx::Where_667">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="67" name="/nncf_module/vit/embeddings/Where" type="Select" version="opset1">
+		<layer id="66" name="Where_104" type="Select" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -610,12 +602,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/embeddings/Where_output_0">
+				<port id="3" precision="I64" names="onnx::Expand_668">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="68" name="/nncf_module/vit/embeddings/Expand" type="Broadcast" version="opset3">
+		<layer id="67" name="Expand_105" type="Broadcast" version="opset3">
 			<data mode="bidirectional" />
 			<input>
 				<port id="0" precision="FP32">
@@ -628,14 +620,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/embeddings/Expand_output_0">
+				<port id="2" precision="FP32" names="onnx::Concat_669">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="69" name="nncf_module.vit.embeddings.patch_embeddings.projection.weight" type="Const" version="opset1">
+		<layer id="68" name="nncf_module.vit.embeddings.patch_embeddings.projection.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 3, 16, 16" offset="261144" size="2359296" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.embeddings.patch_embeddings.projection.weight">
@@ -646,7 +638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="70" name="/nncf_module/vit/embeddings/patch_embeddings/projection/Conv/WithoutBiases" type="Convolution" version="opset1">
+		<layer id="69" name="Conv_85/WithoutBiases" type="Convolution" version="opset1">
 			<data strides="16, 16" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -671,7 +663,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="nncf_module.vit.embeddings.patch_embeddings.projection.bias" type="Const" version="opset1">
+		<layer id="70" name="nncf_module.vit.embeddings.patch_embeddings.projection.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="2620440" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.embeddings.patch_embeddings.projection.bias">
@@ -679,7 +671,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="72" name="Constant_135" type="Const" version="opset1">
+		<layer id="71" name="Constant_139" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -687,7 +679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="ShapeOf_150" type="ShapeOf" version="opset3">
+		<layer id="72" name="ShapeOf_154" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -700,7 +692,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="74" name="ShapeOf_133" type="ShapeOf" version="opset3">
+		<layer id="73" name="ShapeOf_137" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -716,7 +708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="75" name="ShapeOf_134" type="ShapeOf" version="opset3">
+		<layer id="74" name="ShapeOf_138" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -729,7 +721,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="Constant_136" type="Const" version="opset1">
+		<layer id="75" name="Constant_140" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2623512" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -737,7 +729,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="77" name="Subtract_137" type="Subtract" version="opset1">
+		<layer id="76" name="Subtract_141" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -753,7 +745,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="Broadcast_138" type="Broadcast" version="opset3">
+		<layer id="77" name="Broadcast_142" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -769,7 +761,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="79" name="Concat_151" type="Concat" version="opset1">
+		<layer id="78" name="Concat_155" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -788,7 +780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="80" name="Reshape_152" type="Reshape" version="opset1">
+		<layer id="79" name="Reshape_156" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -807,7 +799,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="81" name="/nncf_module/vit/embeddings/patch_embeddings/projection/Conv" type="Add" version="opset1">
+		<layer id="80" name="Conv_85" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -824,7 +816,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/embeddings/patch_embeddings/projection/Conv_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_645">
 					<dim>-1</dim>
 					<dim>768</dim>
 					<dim>-1</dim>
@@ -832,7 +824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="82" name="/nncf_module/vit/embeddings/patch_embeddings/Shape" type="ShapeOf" version="opset3">
+		<layer id="81" name="Shape_86" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -843,28 +835,28 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/embeddings/patch_embeddings/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Slice_646">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="83" name="/nncf_module/vit/embeddings/patch_embeddings/Constant_1" type="Const" version="opset1">
+		<layer id="82" name="Constant_88" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/patch_embeddings/Constant_1_output_0">
+				<port id="0" precision="I64" names="onnx::Slice_648">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="84" name="/nncf_module/vit/embeddings/patch_embeddings/Constant_2" type="Const" version="opset1">
+		<layer id="83" name="Constant_89" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2623512" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/patch_embeddings/Constant_2_output_0">
+				<port id="0" precision="I64" names="onnx::Slice_649">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="85" name="Constant_184" type="Const" version="opset1">
+		<layer id="84" name="Constant_188" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -872,7 +864,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="86" name="ShapeOf_185" type="ShapeOf" version="opset3">
+		<layer id="85" name="ShapeOf_189" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -885,7 +877,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="87" name="Broadcast_186" type="Broadcast" version="opset3">
+		<layer id="86" name="Broadcast_190" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -901,15 +893,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="88" name="/nncf_module/vit/embeddings/patch_embeddings/Constant" type="Const" version="opset1">
+		<layer id="87" name="Constant_87" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/patch_embeddings/Constant_output_0">
+				<port id="0" precision="I64" names="onnx::Slice_647">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="89" name="/nncf_module/vit/embeddings/patch_embeddings/Slice" type="Slice" version="opset8">
+		<layer id="88" name="Slice_90" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
@@ -928,20 +920,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="I64" names="/nncf_module/vit/embeddings/patch_embeddings/Slice_output_0">
+				<port id="5" precision="I64" names="onnx::Concat_650">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="90" name="/nncf_module/vit/embeddings/patch_embeddings/Constant_3" type="Const" version="opset1">
+		<layer id="89" name="Constant_91" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/embeddings/patch_embeddings/Constant_3_output_0">
+				<port id="0" precision="I64" names="onnx::Concat_651">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="91" name="/nncf_module/vit/embeddings/patch_embeddings/Concat" type="Concat" version="opset1">
+		<layer id="90" name="Concat_92" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -952,12 +944,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/embeddings/patch_embeddings/Concat_output_0">
+				<port id="2" precision="I64" names="onnx::Reshape_652">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="92" name="/nncf_module/vit/embeddings/patch_embeddings/Reshape" type="Reshape" version="opset1">
+		<layer id="91" name="Reshape_93" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -971,14 +963,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/embeddings/patch_embeddings/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_653">
 					<dim>-1</dim>
 					<dim>768</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="93" name="Constant_281" type="Const" version="opset1">
+		<layer id="92" name="Constant_285" type="Const" version="opset1">
 			<data element_type="i64" shape="3" offset="2623520" size="24" />
 			<output>
 				<port id="0" precision="I64">
@@ -986,7 +978,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="94" name="/nncf_module/vit/embeddings/patch_embeddings/Transpose" type="Transpose" version="opset1">
+		<layer id="93" name="Transpose_94" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -998,14 +990,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/embeddings/patch_embeddings/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::Concat_654">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="95" name="/nncf_module/vit/embeddings/Concat_1" type="Concat" version="opset1">
+		<layer id="94" name="Concat_106" type="Concat" version="opset1">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1020,14 +1012,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/embeddings/Concat_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_670">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="96" name="nncf_module.vit.embeddings.position_embeddings" type="Const" version="opset1">
+		<layer id="95" name="nncf_module.vit.embeddings.position_embeddings" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 197, 768" offset="2623544" size="605184" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.embeddings.position_embeddings">
@@ -1037,7 +1029,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="97" name="/nncf_module/vit/embeddings/Add" type="Add" version="opset1">
+		<layer id="96" name="Add_107" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1052,14 +1044,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/embeddings/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_671">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="98" name="Constant_502" type="Const" version="opset1">
+		<layer id="97" name="Constant_504" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1067,7 +1059,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="99" name="/nncf_module/vit/encoder/layer.0/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="98" name="ReduceMean_108" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1080,14 +1072,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_672">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="100" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="99" name="Sub_109" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1102,20 +1094,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_673">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="100" name="Constant_110" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_674" />
 			</output>
 		</layer>
-		<layer id="102" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="101" name="Pow_111" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1126,14 +1118,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_675">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="Constant_507" type="Const" version="opset1">
+		<layer id="102" name="Constant_509" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1141,7 +1133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="/nncf_module/vit/encoder/layer.0/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="103" name="ReduceMean_112" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1154,20 +1146,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_676">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="104" name="Constant_113" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_677" />
 			</output>
 		</layer>
-		<layer id="106" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="105" name="Add_114" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1178,14 +1170,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_678">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="106" name="Sqrt_115" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1194,14 +1186,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_679">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="107" name="Div_116" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1216,14 +1208,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_680">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="nncf_module.vit.encoder.layer.0.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="108" name="nncf_module.vit.encoder.layer.0.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="3228736" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.0.layernorm_before.weight">
@@ -1231,7 +1223,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="109" name="Mul_117" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1244,14 +1236,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_681">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="nncf_module.vit.encoder.layer.0.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="110" name="nncf_module.vit.encoder.layer.0.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="3231808" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.0.layernorm_before.bias">
@@ -1259,7 +1251,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="/nncf_module/vit/encoder/layer.0/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="111" name="Add_118" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1272,30 +1264,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="/nncf_module/vit/encoder/layer.0/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="112" name="Constant_119" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="3234880" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_683">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="/nncf_module/vit/encoder/layer.0/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="113" name="Constant_120" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="3234884" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_684">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="/nncf_module/vit/encoder/layer.0/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="114" name="FakeQuantize_121" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1317,14 +1309,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_685">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="/nncf_module/vit/encoder/layer.0/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="115" name="Constant_122" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="3234888" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -1333,7 +1325,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="Convert_32447" type="Convert" version="opset1">
+		<layer id="116" name="Convert_32369" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -1348,7 +1340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="Constant_32384" type="Const" version="opset1">
+		<layer id="117" name="Constant_32306" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="3824712" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -1357,7 +1349,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="/nncf_module/vit/encoder/layer.0/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="118" name="FakeQuantize_125" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1370,13 +1362,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_689">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="Constant_522" type="Const" version="opset1">
+		<layer id="119" name="Constant_524" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -1384,7 +1376,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="/nncf_module/vit/encoder/layer.0/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="120" name="Transpose_126" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -1395,13 +1387,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_690">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="/nncf_module/vit/encoder/layer.0/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="121" name="MatMul_127" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1415,14 +1407,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_691">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="/nncf_module/vit/encoder/layer.0/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="122" name="Add_128" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1435,14 +1427,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.3">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="123" name="Shape_164" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1452,24 +1444,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_736">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="124" name="Constant_165" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_737" />
 			</output>
 		</layer>
-		<layer id="126" name="Constant_808" type="Const" version="opset1">
+		<layer id="125" name="Constant_806" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="127" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="126" name="Gather_166" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1479,10 +1471,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_738" />
 			</output>
 		</layer>
-		<layer id="128" name="Constant_814" type="Const" version="opset1">
+		<layer id="127" name="Constant_812" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1490,7 +1482,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="128" name="Unsqueeze_170" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1498,12 +1490,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_744">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="129" name="Shape_167" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1513,24 +1505,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_739">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="130" name="Constant_168" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_740" />
 			</output>
 		</layer>
-		<layer id="132" name="Constant_812" type="Const" version="opset1">
+		<layer id="131" name="Constant_810" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="133" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="132" name="Gather_169" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1540,10 +1532,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_741" />
 			</output>
 		</layer>
-		<layer id="134" name="Constant_816" type="Const" version="opset1">
+		<layer id="133" name="Constant_814" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1551,7 +1543,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="135" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="134" name="Unsqueeze_171" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1559,28 +1551,28 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_5_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_745">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_10" type="Const" version="opset1">
+		<layer id="135" name="onnx::Concat_2449" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="3827800" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_10_output_0">
+				<port id="0" precision="I64" names="onnx::Concat_2447,onnx::Concat_2449,onnx::Concat_2451,onnx::Concat_2454,onnx::Concat_2456,onnx::Concat_2458,onnx::Concat_2461,onnx::Concat_2463,onnx::Concat_2465,onnx::Concat_2468,onnx::Concat_2470,onnx::Concat_2472,onnx::Concat_2475,onnx::Concat_2477,onnx::Concat_2479,onnx::Concat_2482,onnx::Concat_2484,onnx::Concat_2486,onnx::Concat_2489,onnx::Concat_2491,onnx::Concat_2493,onnx::Concat_2496,onnx::Concat_2498,onnx::Concat_2500,onnx::Concat_2503,onnx::Concat_2505,onnx::Concat_2507,onnx::Concat_2510,onnx::Concat_2512,onnx::Concat_2514,onnx::Concat_2517,onnx::Concat_2519,onnx::Concat_2521,onnx::Concat_2524,onnx::Concat_2526,onnx::Concat_2528">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_11" type="Const" version="opset1">
+		<layer id="136" name="onnx::Concat_2450" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="3827808" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_11_output_0">
+				<port id="0" precision="I64" names="onnx::Concat_2448,onnx::Concat_2450,onnx::Concat_2452,onnx::Concat_2455,onnx::Concat_2457,onnx::Concat_2459,onnx::Concat_2462,onnx::Concat_2464,onnx::Concat_2466,onnx::Concat_2469,onnx::Concat_2471,onnx::Concat_2473,onnx::Concat_2476,onnx::Concat_2478,onnx::Concat_2480,onnx::Concat_2483,onnx::Concat_2485,onnx::Concat_2487,onnx::Concat_2490,onnx::Concat_2492,onnx::Concat_2494,onnx::Concat_2497,onnx::Concat_2499,onnx::Concat_2501,onnx::Concat_2504,onnx::Concat_2506,onnx::Concat_2508,onnx::Concat_2511,onnx::Concat_2513,onnx::Concat_2515,onnx::Concat_2518,onnx::Concat_2520,onnx::Concat_2522,onnx::Concat_2525,onnx::Concat_2527,onnx::Concat_2529">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="/nncf_module/vit/encoder/layer.0/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="137" name="Concat_172" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1597,12 +1589,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_748">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="138" name="Reshape_173" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1615,7 +1607,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_749">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -1623,7 +1615,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="Constant_937" type="Const" version="opset1">
+		<layer id="139" name="Constant_933" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -1631,7 +1623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="141" name="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="140" name="Transpose_174" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1644,7 +1636,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_750">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -1652,7 +1644,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="nncf_module.vit.encoder.layer.0.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="141" name="nncf_module.vit.encoder.layer.0.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="3827848" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.0.attention.attention.key.bias">
@@ -1660,7 +1652,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="/nncf_module/vit/encoder/layer.0/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="142" name="Constant_129" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="3830920" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -1669,7 +1661,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="Convert_32568" type="Convert" version="opset1">
+		<layer id="143" name="Convert_32490" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -1684,7 +1676,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="Constant_32505" type="Const" version="opset1">
+		<layer id="144" name="Constant_32427" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="4420744" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -1693,7 +1685,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="/nncf_module/vit/encoder/layer.0/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="145" name="FakeQuantize_132" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1706,13 +1698,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_696">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="Constant_530" type="Const" version="opset1">
+		<layer id="146" name="Constant_532" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -1720,7 +1712,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="/nncf_module/vit/encoder/layer.0/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="147" name="Transpose_133" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -1731,13 +1723,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_697">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="/nncf_module/vit/encoder/layer.0/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="148" name="MatMul_134" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1751,14 +1743,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_698">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="/nncf_module/vit/encoder/layer.0/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="149" name="Add_135" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1771,14 +1763,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.7">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="150" name="Shape_136" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1788,24 +1780,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_700">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="151" name="Constant_137" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_701" />
 			</output>
 		</layer>
-		<layer id="153" name="Constant_536" type="Const" version="opset1">
+		<layer id="152" name="Constant_538" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="154" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="153" name="Gather_138" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1815,10 +1807,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_702" />
 			</output>
 		</layer>
-		<layer id="155" name="Constant_542" type="Const" version="opset1">
+		<layer id="154" name="Constant_544" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1826,7 +1818,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="155" name="Unsqueeze_142" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1834,12 +1826,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_708">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="156" name="Shape_139" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1849,24 +1841,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_703">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="157" name="Constant_1400" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_704" />
 			</output>
 		</layer>
-		<layer id="159" name="Constant_540" type="Const" version="opset1">
+		<layer id="158" name="Constant_542" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="160" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="159" name="Gather_141" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1876,10 +1868,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_705" />
 			</output>
 		</layer>
-		<layer id="161" name="Constant_544" type="Const" version="opset1">
+		<layer id="160" name="Constant_546" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1887,7 +1879,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="161" name="Unsqueeze_143" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1895,28 +1887,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="163" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="164" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_709">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="/nncf_module/vit/encoder/layer.0/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="162" name="Concat_144" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1933,12 +1909,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_712">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="163" name="Reshape_145" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1951,7 +1927,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_713">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -1959,7 +1935,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="167" name="Constant_939" type="Const" version="opset1">
+		<layer id="164" name="Constant_935" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -1967,7 +1943,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="165" name="Transpose_175" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1980,7 +1956,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_751">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -1988,7 +1964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="169" name="/nncf_module/vit/encoder/layer.0/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="166" name="MatMul_176" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2005,7 +1981,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_752">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -2013,13 +1989,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="167" name="Constant_177" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_753" />
 			</output>
 		</layer>
-		<layer id="171" name="/nncf_module/vit/encoder/layer.0/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="168" name="Div_178" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2031,7 +2007,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -2039,7 +2015,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="172" name="ShapeOf_944" type="ShapeOf" version="opset1">
+		<layer id="169" name="ShapeOf_940" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2054,7 +2030,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="173" name="Constant_947" type="Const" version="opset1">
+		<layer id="170" name="Constant_943" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2062,7 +2038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="Constant_946" type="Const" version="opset1">
+		<layer id="171" name="Constant_942" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2070,7 +2046,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="Constant_948" type="Const" version="opset1">
+		<layer id="172" name="Constant_944" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2078,7 +2054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="StridedSlice_949" type="StridedSlice" version="opset1">
+		<layer id="173" name="StridedSlice_945" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -2100,13 +2076,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="177" name="Constant_950" type="Const" version="opset1">
+		<layer id="174" name="Constant_946" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="178" name="ReduceProd_951" type="ReduceProd" version="opset1">
+		<layer id="175" name="ReduceProd_947" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -2120,7 +2096,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="179" name="Constant_952" type="Const" version="opset1">
+		<layer id="176" name="Constant_948" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2128,7 +2104,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="Concat_953" type="Concat" version="opset1">
+		<layer id="177" name="Concat_949" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2144,7 +2120,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="Reshape_954" type="Reshape" version="opset1">
+		<layer id="178" name="Reshape_950" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2164,7 +2140,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="Softmax_1017" type="SoftMax" version="opset8">
+		<layer id="179" name="Softmax_1013" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2179,7 +2155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="ShapeOf_1018" type="ShapeOf" version="opset3">
+		<layer id="180" name="ShapeOf_1014" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2195,7 +2171,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="184" name="/nncf_module/vit/encoder/layer.0/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="181" name="Softmax_179" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2207,7 +2183,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_755">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -2215,7 +2191,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="185" name="nncf_module.vit.encoder.layer.0.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="182" name="nncf_module.vit.encoder.layer.0.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="4423860" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.0.attention.attention.value.bias">
@@ -2223,7 +2199,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="/nncf_module/vit/encoder/layer.0/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="183" name="Constant_146" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="4426932" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -2232,7 +2208,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="Convert_32689" type="Convert" version="opset1">
+		<layer id="184" name="Convert_32611" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -2247,7 +2223,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="Constant_32626" type="Const" version="opset1">
+		<layer id="185" name="Constant_32548" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="5016756" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -2256,7 +2232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="/nncf_module/vit/encoder/layer.0/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="186" name="FakeQuantize_149" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2269,13 +2245,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_717">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="190" name="Constant_669" type="Const" version="opset1">
+		<layer id="187" name="Constant_669" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -2283,7 +2259,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="/nncf_module/vit/encoder/layer.0/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="188" name="Transpose_150" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -2294,13 +2270,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_718">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="192" name="/nncf_module/vit/encoder/layer.0/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="189" name="MatMul_151" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2314,14 +2290,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_719">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="/nncf_module/vit/encoder/layer.0/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="190" name="Add_152" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2334,14 +2310,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.11">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="191" name="Shape_153" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2351,24 +2327,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_721">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="195" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="192" name="Constant_154" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_722" />
 			</output>
 		</layer>
-		<layer id="196" name="Constant_675" type="Const" version="opset1">
+		<layer id="193" name="Constant_675" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="197" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="194" name="Gather_155" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2378,10 +2354,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_723" />
 			</output>
 		</layer>
-		<layer id="198" name="Constant_681" type="Const" version="opset1">
+		<layer id="195" name="Constant_681" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2389,7 +2365,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="196" name="Unsqueeze_159" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2397,12 +2373,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_729">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="197" name="Shape_156" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2412,24 +2388,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_724">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="198" name="Constant_157" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_725" />
 			</output>
 		</layer>
-		<layer id="202" name="Constant_679" type="Const" version="opset1">
+		<layer id="199" name="Constant_679" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="203" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="200" name="Gather_158" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2439,10 +2415,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_726" />
 			</output>
 		</layer>
-		<layer id="204" name="Constant_683" type="Const" version="opset1">
+		<layer id="201" name="Constant_683" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2450,7 +2426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="205" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="202" name="Unsqueeze_160" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2458,28 +2434,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="206" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="207" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_7_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_730">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="/nncf_module/vit/encoder/layer.0/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="203" name="Concat_161" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2496,12 +2456,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_733">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="209" name="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="204" name="Reshape_162" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2514,7 +2474,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_734">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -2522,7 +2482,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="Constant_804" type="Const" version="opset1">
+		<layer id="205" name="Constant_802" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -2530,7 +2490,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="206" name="Transpose_163" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2543,7 +2503,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_735">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -2551,7 +2511,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="/nncf_module/vit/encoder/layer.0/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="207" name="MatMul_180" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2568,7 +2528,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.15">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -2576,23 +2536,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="/nncf_module/vit/encoder/layer.0/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="208" name="Constant_181" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="5019828" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_757">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="214" name="/nncf_module/vit/encoder/layer.0/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="209" name="Constant_182" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="5019832" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_758">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="215" name="/nncf_module/vit/encoder/layer.0/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="210" name="FakeQuantize_183" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2615,7 +2575,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_759">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -2623,7 +2583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="216" name="Constant_1034" type="Const" version="opset1">
+		<layer id="211" name="Constant_1030" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -2631,7 +2591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="217" name="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="212" name="Transpose_184" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2644,7 +2604,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_760">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -2652,7 +2612,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="218" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="213" name="Shape_185" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2663,24 +2623,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_761">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="219" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="214" name="Constant_186" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_762" />
 			</output>
 		</layer>
-		<layer id="220" name="Constant_1038" type="Const" version="opset1">
+		<layer id="215" name="Constant_1034" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="221" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="216" name="Gather_187" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2690,10 +2650,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_763" />
 			</output>
 		</layer>
-		<layer id="222" name="Constant_1044" type="Const" version="opset1">
+		<layer id="217" name="Constant_1040" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2701,7 +2661,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="218" name="Unsqueeze_191" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2709,12 +2669,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_768">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="219" name="Shape_188" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2725,24 +2685,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_764">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="220" name="Constant_189" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_765" />
 			</output>
 		</layer>
-		<layer id="226" name="Constant_1042" type="Const" version="opset1">
+		<layer id="221" name="Constant_1038" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="227" name="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="222" name="Gather_190" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2752,10 +2712,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_766" />
 			</output>
 		</layer>
-		<layer id="228" name="Constant_1046" type="Const" version="opset1">
+		<layer id="223" name="Constant_1042" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2763,7 +2723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="224" name="Unsqueeze_192" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2771,20 +2731,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Unsqueeze_7_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_769">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_15" type="Const" version="opset1">
+		<layer id="225" name="onnx::Concat_2460" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="5019836" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Constant_15_output_0">
+				<port id="0" precision="I64" names="onnx::Concat_2453,onnx::Concat_2460,onnx::Concat_2467,onnx::Concat_2474,onnx::Concat_2481,onnx::Concat_2488,onnx::Concat_2495,onnx::Concat_2502,onnx::Concat_2509,onnx::Concat_2516,onnx::Concat_2523,onnx::Concat_2530">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="/nncf_module/vit/encoder/layer.0/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="226" name="Concat_193" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2798,12 +2758,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.0/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_771">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="227" name="Reshape_194" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2817,14 +2777,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_772">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="/nncf_module/vit/encoder/layer.0/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="228" name="Constant_195" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="5019844" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -2833,7 +2793,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="Convert_32810" type="Convert" version="opset1">
+		<layer id="229" name="Convert_32732" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -2848,7 +2808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="Constant_32747" type="Const" version="opset1">
+		<layer id="230" name="Constant_32669" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="5609668" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -2857,7 +2817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="/nncf_module/vit/encoder/layer.0/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="231" name="FakeQuantize_198" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2870,13 +2830,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_776">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="Constant_1164" type="Const" version="opset1">
+		<layer id="232" name="Constant_1159" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -2884,7 +2844,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="238" name="/nncf_module/vit/encoder/layer.0/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="233" name="Transpose_199" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -2895,13 +2855,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_777">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="239" name="/nncf_module/vit/encoder/layer.0/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="234" name="MatMul_200" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2915,14 +2875,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_778">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="/nncf_module/vit/encoder/layer.0/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="235" name="Add_201" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2935,14 +2895,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_779">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="241" name="/nncf_module/vit/encoder/layer.0/Add" type="Add" version="opset1">
+		<layer id="236" name="Add_202" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2957,14 +2917,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/Add_output_0">
+				<port id="2" precision="FP32" names="input.3">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="242" name="Constant_1169" type="Const" version="opset1">
+		<layer id="237" name="Constant_1164" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2972,7 +2932,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="243" name="/nncf_module/vit/encoder/layer.0/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="238" name="ReduceMean_203" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2985,14 +2945,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_781">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="244" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="239" name="Sub_204" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3007,20 +2967,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_782">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="240" name="Constant_205" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_783" />
 			</output>
 		</layer>
-		<layer id="246" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="241" name="Pow_206" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3031,14 +2991,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_784">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="Constant_1174" type="Const" version="opset1">
+		<layer id="242" name="Constant_1169" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -3046,7 +3006,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="/nncf_module/vit/encoder/layer.0/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="243" name="ReduceMean_207" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3059,20 +3019,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_785">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="249" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="244" name="Constant_208" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_786" />
 			</output>
 		</layer>
-		<layer id="250" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="245" name="Add_209" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3083,14 +3043,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_787">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="246" name="Sqrt_210" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3099,14 +3059,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_788">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="247" name="Div_211" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3121,14 +3081,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_789">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="nncf_module.vit.encoder.layer.0.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="248" name="nncf_module.vit.encoder.layer.0.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="5612740" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.0.layernorm_after.weight">
@@ -3136,7 +3096,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="249" name="Mul_212" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3149,14 +3109,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_790">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="nncf_module.vit.encoder.layer.0.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="250" name="nncf_module.vit.encoder.layer.0.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="5615812" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.0.layernorm_after.bias">
@@ -3164,7 +3124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="/nncf_module/vit/encoder/layer.0/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="251" name="Add_213" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3177,30 +3137,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.19">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="/nncf_module/vit/encoder/layer.0/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="252" name="Constant_214" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="5618884" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_792">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="/nncf_module/vit/encoder/layer.0/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="253" name="Constant_215" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="5618888" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_793">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="/nncf_module/vit/encoder/layer.0/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="254" name="FakeQuantize_216" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3222,14 +3182,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.0/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[0]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_794">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="/nncf_module/vit/encoder/layer.0/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="255" name="Constant_217" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="5618892" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -3238,7 +3198,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="Convert_32931" type="Convert" version="opset1">
+		<layer id="256" name="Convert_32853" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -3253,7 +3213,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="Constant_32868" type="Const" version="opset1">
+		<layer id="257" name="Constant_32790" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="7978188" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -3262,7 +3222,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="/nncf_module/vit/encoder/layer.0/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="258" name="FakeQuantize_220" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3275,13 +3235,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_798">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="Constant_1189" type="Const" version="opset1">
+		<layer id="259" name="Constant_1184" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -3289,7 +3249,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="/nncf_module/vit/encoder/layer.0/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="260" name="Transpose_221" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -3300,13 +3260,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_799">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="/nncf_module/vit/encoder/layer.0/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="261" name="MatMul_222" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3320,14 +3280,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_800">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="/nncf_module/vit/encoder/layer.0/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="262" name="Add_223" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3340,20 +3300,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_801">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="263" name="Constant_224" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_802" />
 			</output>
 		</layer>
-		<layer id="269" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="264" name="Div_225" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3364,14 +3324,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_803">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="265" name="Erf_226" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3380,20 +3340,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_804">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="266" name="Constant_227" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_805" />
 			</output>
 		</layer>
-		<layer id="272" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="267" name="Add_228" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3404,14 +3364,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_806">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="268" name="Mul_229" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3426,20 +3386,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_807">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="269" name="Constant_230" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_808" />
 			</output>
 		</layer>
-		<layer id="275" name="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="270" name="Mul_231" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3450,14 +3410,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_809">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="/nncf_module/vit/encoder/layer.0/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="271" name="Constant_232" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="7990488" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -3466,7 +3426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="Convert_33052" type="Convert" version="opset1">
+		<layer id="272" name="Convert_32974" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -3481,7 +3441,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="Constant_32989" type="Const" version="opset1">
+		<layer id="273" name="Constant_32911" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="10349784" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -3490,7 +3450,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="/nncf_module/vit/encoder/layer.0/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="274" name="FakeQuantize_235" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3503,13 +3463,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_813">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="Constant_1205" type="Const" version="opset1">
+		<layer id="275" name="Constant_1200" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -3517,7 +3477,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="/nncf_module/vit/encoder/layer.0/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="276" name="Transpose_236" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -3528,13 +3488,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_814">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="/nncf_module/vit/encoder/layer.0/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="277" name="MatMul_237" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3548,14 +3508,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_815">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="/nncf_module/vit/encoder/layer.0/output/dense/Add" type="Add" version="opset1">
+		<layer id="278" name="Add_238" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3568,14 +3528,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_816">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="/nncf_module/vit/encoder/layer.0/output/Add" type="Add" version="opset1">
+		<layer id="279" name="Add_239" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3590,14 +3550,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.0/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.7">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="Constant_1210" type="Const" version="opset1">
+		<layer id="280" name="Constant_1205" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -3605,7 +3565,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="/nncf_module/vit/encoder/layer.1/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="281" name="ReduceMean_240" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3618,14 +3578,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_818">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="282" name="Sub_241" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3640,20 +3600,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_819">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="283" name="Constant_242" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_820" />
 			</output>
 		</layer>
-		<layer id="289" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="284" name="Pow_243" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3664,14 +3624,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_821">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="Constant_1215" type="Const" version="opset1">
+		<layer id="285" name="Constant_1210" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -3679,7 +3639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="/nncf_module/vit/encoder/layer.1/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="286" name="ReduceMean_244" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3692,20 +3652,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_822">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="287" name="Constant_245" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_823" />
 			</output>
 		</layer>
-		<layer id="293" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="288" name="Add_246" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3716,14 +3676,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_824">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="289" name="Sqrt_247" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3732,14 +3692,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_825">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="290" name="Div_248" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3754,14 +3714,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_826">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="nncf_module.vit.encoder.layer.1.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="291" name="nncf_module.vit.encoder.layer.1.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="10352856" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.1.layernorm_before.weight">
@@ -3769,7 +3729,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="292" name="Mul_249" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3782,14 +3742,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_827">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="298" name="nncf_module.vit.encoder.layer.1.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="293" name="nncf_module.vit.encoder.layer.1.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="10355928" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.1.layernorm_before.bias">
@@ -3797,7 +3757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="/nncf_module/vit/encoder/layer.1/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="294" name="Add_250" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3810,30 +3770,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.23">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="/nncf_module/vit/encoder/layer.1/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="295" name="Constant_251" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="10359000" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_829">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="/nncf_module/vit/encoder/layer.1/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="296" name="Constant_252" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="10359004" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_830">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="302" name="/nncf_module/vit/encoder/layer.1/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="297" name="FakeQuantize_253" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3855,14 +3815,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_831">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="/nncf_module/vit/encoder/layer.1/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="298" name="Constant_254" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="10359008" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -3871,7 +3831,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="Convert_33173" type="Convert" version="opset1">
+		<layer id="299" name="Convert_33095" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -3886,7 +3846,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="Constant_33110" type="Const" version="opset1">
+		<layer id="300" name="Constant_33032" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="10948832" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -3895,7 +3855,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="/nncf_module/vit/encoder/layer.1/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="301" name="FakeQuantize_257" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3908,13 +3868,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_835">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="Constant_1230" type="Const" version="opset1">
+		<layer id="302" name="Constant_1225" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -3922,7 +3882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="308" name="/nncf_module/vit/encoder/layer.1/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="303" name="Transpose_258" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -3933,13 +3893,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_836">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="309" name="/nncf_module/vit/encoder/layer.1/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="304" name="MatMul_259" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3953,14 +3913,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_837">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="/nncf_module/vit/encoder/layer.1/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="305" name="Add_260" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3973,14 +3933,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.27">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="306" name="Shape_296" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3990,24 +3950,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_882">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="307" name="Constant_297" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_883" />
 			</output>
 		</layer>
-		<layer id="313" name="Constant_1516" type="Const" version="opset1">
+		<layer id="308" name="Constant_1507" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="314" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="309" name="Gather_298" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4017,10 +3977,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_884" />
 			</output>
 		</layer>
-		<layer id="315" name="Constant_1522" type="Const" version="opset1">
+		<layer id="310" name="Constant_1513" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4028,7 +3988,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="311" name="Unsqueeze_302" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4036,12 +3996,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_890">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="312" name="Shape_299" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4051,24 +4011,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_885">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="313" name="Constant_300" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_886" />
 			</output>
 		</layer>
-		<layer id="319" name="Constant_1520" type="Const" version="opset1">
+		<layer id="314" name="Constant_1511" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="320" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="315" name="Gather_301" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4078,10 +4038,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_887" />
 			</output>
 		</layer>
-		<layer id="321" name="Constant_1524" type="Const" version="opset1">
+		<layer id="316" name="Constant_1515" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4089,7 +4049,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="322" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="317" name="Unsqueeze_303" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4097,28 +4057,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_5_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_891">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="323" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_10_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="324" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="325" name="/nncf_module/vit/encoder/layer.1/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="318" name="Concat_304" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4135,12 +4079,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_894">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="319" name="Reshape_305" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4153,7 +4097,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_895">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -4161,7 +4105,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="327" name="Constant_1645" type="Const" version="opset1">
+		<layer id="320" name="Constant_1634" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -4169,7 +4113,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="328" name="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="321" name="Transpose_306" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4182,7 +4126,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_896">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -4190,7 +4134,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="329" name="nncf_module.vit.encoder.layer.1.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="322" name="nncf_module.vit.encoder.layer.1.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="10951904" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.1.attention.attention.key.bias">
@@ -4198,7 +4142,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="/nncf_module/vit/encoder/layer.1/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="323" name="Constant_261" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="10954976" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -4207,7 +4151,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="Convert_33294" type="Convert" version="opset1">
+		<layer id="324" name="Convert_33216" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -4222,7 +4166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="Constant_33231" type="Const" version="opset1">
+		<layer id="325" name="Constant_33153" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="11544800" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -4231,7 +4175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="333" name="/nncf_module/vit/encoder/layer.1/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="326" name="FakeQuantize_264" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4244,13 +4188,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_842">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="Constant_1238" type="Const" version="opset1">
+		<layer id="327" name="Constant_1233" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -4258,7 +4202,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="/nncf_module/vit/encoder/layer.1/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="328" name="Transpose_265" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -4269,13 +4213,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_843">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="/nncf_module/vit/encoder/layer.1/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="329" name="MatMul_266" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4289,14 +4233,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_844">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="/nncf_module/vit/encoder/layer.1/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="330" name="Add_267" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4309,14 +4253,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.31">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="331" name="Shape_268" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4326,24 +4270,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_846">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="332" name="Constant_269" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_847" />
 			</output>
 		</layer>
-		<layer id="340" name="Constant_1244" type="Const" version="opset1">
+		<layer id="333" name="Constant_1239" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="341" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="334" name="Gather_270" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4353,10 +4297,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_848" />
 			</output>
 		</layer>
-		<layer id="342" name="Constant_1250" type="Const" version="opset1">
+		<layer id="335" name="Constant_1245" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4364,7 +4308,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="336" name="Unsqueeze_274" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4372,12 +4316,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_854">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="337" name="Shape_271" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4387,24 +4331,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_849">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="345" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="338" name="Constant_272" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_850" />
 			</output>
 		</layer>
-		<layer id="346" name="Constant_1248" type="Const" version="opset1">
+		<layer id="339" name="Constant_1243" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="347" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="340" name="Gather_273" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4414,10 +4358,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_851" />
 			</output>
 		</layer>
-		<layer id="348" name="Constant_1252" type="Const" version="opset1">
+		<layer id="341" name="Constant_1247" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4425,7 +4369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="342" name="Unsqueeze_275" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4433,28 +4377,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="350" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="351" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_855">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="352" name="/nncf_module/vit/encoder/layer.1/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="343" name="Concat_276" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4471,12 +4399,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_858">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="353" name="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="344" name="Reshape_277" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4489,7 +4417,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_859">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -4497,7 +4425,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="Constant_1647" type="Const" version="opset1">
+		<layer id="345" name="Constant_1636" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -4505,7 +4433,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="346" name="Transpose_307" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4518,7 +4446,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_897">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -4526,7 +4454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="/nncf_module/vit/encoder/layer.1/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="347" name="MatMul_308" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4543,7 +4471,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_898">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -4551,13 +4479,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="348" name="Constant_309" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_899" />
 			</output>
 		</layer>
-		<layer id="358" name="/nncf_module/vit/encoder/layer.1/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="349" name="Div_310" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4569,7 +4497,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.11">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -4577,7 +4505,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="ShapeOf_1652" type="ShapeOf" version="opset1">
+		<layer id="350" name="ShapeOf_1641" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4592,7 +4520,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="Constant_1655" type="Const" version="opset1">
+		<layer id="351" name="Constant_1644" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4600,7 +4528,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="Constant_1654" type="Const" version="opset1">
+		<layer id="352" name="Constant_1643" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4608,7 +4536,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="Constant_1656" type="Const" version="opset1">
+		<layer id="353" name="Constant_1645" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4616,7 +4544,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="StridedSlice_1657" type="StridedSlice" version="opset1">
+		<layer id="354" name="StridedSlice_1646" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -4638,13 +4566,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="Constant_1658" type="Const" version="opset1">
+		<layer id="355" name="Constant_1647" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="365" name="ReduceProd_1659" type="ReduceProd" version="opset1">
+		<layer id="356" name="ReduceProd_1648" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -4658,7 +4586,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="366" name="Constant_1660" type="Const" version="opset1">
+		<layer id="357" name="Constant_1649" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4666,7 +4594,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="Concat_1661" type="Concat" version="opset1">
+		<layer id="358" name="Concat_1650" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4682,7 +4610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="Reshape_1662" type="Reshape" version="opset1">
+		<layer id="359" name="Reshape_1651" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4702,7 +4630,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="Softmax_1725" type="SoftMax" version="opset8">
+		<layer id="360" name="Softmax_1714" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4717,7 +4645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="ShapeOf_1726" type="ShapeOf" version="opset3">
+		<layer id="361" name="ShapeOf_1715" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4733,7 +4661,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="/nncf_module/vit/encoder/layer.1/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="362" name="Softmax_311" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4745,7 +4673,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_901">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -4753,7 +4681,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="nncf_module.vit.encoder.layer.1.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="363" name="nncf_module.vit.encoder.layer.1.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="11547872" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.1.attention.attention.value.bias">
@@ -4761,7 +4689,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="/nncf_module/vit/encoder/layer.1/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="364" name="Constant_278" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="11550944" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -4770,7 +4698,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="Convert_33415" type="Convert" version="opset1">
+		<layer id="365" name="Convert_33337" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -4785,7 +4713,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="Constant_33352" type="Const" version="opset1">
+		<layer id="366" name="Constant_33274" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="12140768" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -4794,7 +4722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="/nncf_module/vit/encoder/layer.1/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="367" name="FakeQuantize_281" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4807,13 +4735,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_863">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="Constant_1377" type="Const" version="opset1">
+		<layer id="368" name="Constant_1370" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -4821,7 +4749,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="/nncf_module/vit/encoder/layer.1/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="369" name="Transpose_282" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -4832,13 +4760,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_864">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="/nncf_module/vit/encoder/layer.1/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="370" name="MatMul_283" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4852,14 +4780,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_865">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="/nncf_module/vit/encoder/layer.1/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="371" name="Add_284" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4872,14 +4800,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.35">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="372" name="Shape_285" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4889,24 +4817,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_867">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="373" name="Constant_286" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_868" />
 			</output>
 		</layer>
-		<layer id="383" name="Constant_1383" type="Const" version="opset1">
+		<layer id="374" name="Constant_1376" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="384" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="375" name="Gather_287" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4916,10 +4844,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_869" />
 			</output>
 		</layer>
-		<layer id="385" name="Constant_1389" type="Const" version="opset1">
+		<layer id="376" name="Constant_1382" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4927,7 +4855,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="377" name="Unsqueeze_291" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4935,12 +4863,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_875">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="378" name="Shape_288" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4950,24 +4878,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_870">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="379" name="Constant_289" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_871" />
 			</output>
 		</layer>
-		<layer id="389" name="Constant_1387" type="Const" version="opset1">
+		<layer id="380" name="Constant_1380" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="390" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="381" name="Gather_290" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4977,10 +4905,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_872" />
 			</output>
 		</layer>
-		<layer id="391" name="Constant_1391" type="Const" version="opset1">
+		<layer id="382" name="Constant_1384" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4988,7 +4916,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="383" name="Unsqueeze_292" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4996,28 +4924,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="393" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="394" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_7_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_876">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="/nncf_module/vit/encoder/layer.1/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="384" name="Concat_293" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5034,12 +4946,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_879">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="385" name="Reshape_294" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5052,7 +4964,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_880">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -5060,7 +4972,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="Constant_1512" type="Const" version="opset1">
+		<layer id="386" name="Constant_1503" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -5068,7 +4980,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="387" name="Transpose_295" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5081,7 +4993,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_881">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -5089,7 +5001,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="/nncf_module/vit/encoder/layer.1/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="388" name="MatMul_312" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5106,7 +5018,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.39">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -5114,23 +5026,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="/nncf_module/vit/encoder/layer.1/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="389" name="Constant_313" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="12143840" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_903">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="/nncf_module/vit/encoder/layer.1/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="390" name="Constant_314" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="12143844" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_904">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="/nncf_module/vit/encoder/layer.1/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="391" name="FakeQuantize_315" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5153,7 +5065,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_905">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -5161,7 +5073,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="Constant_1742" type="Const" version="opset1">
+		<layer id="392" name="Constant_1731" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -5169,7 +5081,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="393" name="Transpose_316" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5182,7 +5094,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_906">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -5190,7 +5102,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="394" name="Shape_317" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5201,24 +5113,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_907">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="395" name="Constant_318" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_908" />
 			</output>
 		</layer>
-		<layer id="407" name="Constant_1746" type="Const" version="opset1">
+		<layer id="396" name="Constant_1735" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="408" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="397" name="Gather_319" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5228,10 +5140,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_909" />
 			</output>
 		</layer>
-		<layer id="409" name="Constant_1752" type="Const" version="opset1">
+		<layer id="398" name="Constant_1741" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5239,7 +5151,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="399" name="Unsqueeze_323" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -5247,12 +5159,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_914">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="400" name="Shape_320" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5263,24 +5175,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_910">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="401" name="Constant_321" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_911" />
 			</output>
 		</layer>
-		<layer id="413" name="Constant_1750" type="Const" version="opset1">
+		<layer id="402" name="Constant_1739" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="414" name="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="403" name="Gather_322" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5290,10 +5202,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_912" />
 			</output>
 		</layer>
-		<layer id="415" name="Constant_1754" type="Const" version="opset1">
+		<layer id="404" name="Constant_1743" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5301,7 +5213,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="405" name="Unsqueeze_324" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -5309,20 +5221,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="417" name="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_915">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="/nncf_module/vit/encoder/layer.1/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="406" name="Concat_325" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5336,12 +5240,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.1/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_917">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="419" name="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="407" name="Reshape_326" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5355,14 +5259,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_918">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="420" name="/nncf_module/vit/encoder/layer.1/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="408" name="Constant_327" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="12143848" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -5371,7 +5275,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="421" name="Convert_33536" type="Convert" version="opset1">
+		<layer id="409" name="Convert_33458" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -5386,7 +5290,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="422" name="Constant_33473" type="Const" version="opset1">
+		<layer id="410" name="Constant_33395" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="12733672" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -5395,7 +5299,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="423" name="/nncf_module/vit/encoder/layer.1/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="411" name="FakeQuantize_330" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5408,13 +5312,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_922">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="424" name="Constant_1872" type="Const" version="opset1">
+		<layer id="412" name="Constant_1860" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -5422,7 +5326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="/nncf_module/vit/encoder/layer.1/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="413" name="Transpose_331" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -5433,13 +5337,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_923">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="426" name="/nncf_module/vit/encoder/layer.1/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="414" name="MatMul_332" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5453,14 +5357,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_924">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="/nncf_module/vit/encoder/layer.1/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="415" name="Add_333" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5473,14 +5377,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_925">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="428" name="/nncf_module/vit/encoder/layer.1/Add" type="Add" version="opset1">
+		<layer id="416" name="Add_334" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5495,14 +5399,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/Add_output_0">
+				<port id="2" precision="FP32" names="input.15">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="429" name="Constant_1877" type="Const" version="opset1">
+		<layer id="417" name="Constant_1865" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5510,7 +5414,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="430" name="/nncf_module/vit/encoder/layer.1/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="418" name="ReduceMean_335" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5523,14 +5427,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_927">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="419" name="Sub_336" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5545,20 +5449,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_928">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="420" name="Constant_337" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_929" />
 			</output>
 		</layer>
-		<layer id="433" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="421" name="Pow_338" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5569,14 +5473,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_930">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="Constant_1882" type="Const" version="opset1">
+		<layer id="422" name="Constant_1870" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5584,7 +5488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="435" name="/nncf_module/vit/encoder/layer.1/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="423" name="ReduceMean_339" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5597,20 +5501,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_931">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="436" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="424" name="Constant_340" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_932" />
 			</output>
 		</layer>
-		<layer id="437" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="425" name="Add_341" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5621,14 +5525,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_933">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="426" name="Sqrt_342" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5637,14 +5541,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_934">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="427" name="Div_343" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5659,14 +5563,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_935">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="440" name="nncf_module.vit.encoder.layer.1.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="428" name="nncf_module.vit.encoder.layer.1.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="12736744" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.1.layernorm_after.weight">
@@ -5674,7 +5578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="429" name="Mul_344" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5687,14 +5591,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_936">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="442" name="nncf_module.vit.encoder.layer.1.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="430" name="nncf_module.vit.encoder.layer.1.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="12739816" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.1.layernorm_after.bias">
@@ -5702,7 +5606,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="443" name="/nncf_module/vit/encoder/layer.1/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="431" name="Add_345" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5715,30 +5619,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.43">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="444" name="/nncf_module/vit/encoder/layer.1/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="432" name="Constant_346" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="12742888" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_938">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="445" name="/nncf_module/vit/encoder/layer.1/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="433" name="Constant_347" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="12742892" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_939">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="446" name="/nncf_module/vit/encoder/layer.1/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="434" name="FakeQuantize_348" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5760,14 +5664,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.1/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[1]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_940">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="/nncf_module/vit/encoder/layer.1/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="435" name="Constant_349" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="12742896" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -5776,7 +5680,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="448" name="Convert_33657" type="Convert" version="opset1">
+		<layer id="436" name="Convert_33579" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -5791,7 +5695,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="449" name="Constant_33594" type="Const" version="opset1">
+		<layer id="437" name="Constant_33516" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="15102192" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -5800,7 +5704,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="450" name="/nncf_module/vit/encoder/layer.1/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="438" name="FakeQuantize_352" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5813,13 +5717,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_944">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="451" name="Constant_1897" type="Const" version="opset1">
+		<layer id="439" name="Constant_1885" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -5827,7 +5731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="452" name="/nncf_module/vit/encoder/layer.1/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="440" name="Transpose_353" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -5838,13 +5742,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_945">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="/nncf_module/vit/encoder/layer.1/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="441" name="MatMul_354" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5858,14 +5762,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_946">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="/nncf_module/vit/encoder/layer.1/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="442" name="Add_355" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5878,20 +5782,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_947">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="443" name="Constant_356" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_948" />
 			</output>
 		</layer>
-		<layer id="456" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="444" name="Div_357" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5902,14 +5806,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_949">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="445" name="Erf_358" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5918,20 +5822,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_950">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="446" name="Constant_359" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_951" />
 			</output>
 		</layer>
-		<layer id="459" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="447" name="Add_360" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5942,14 +5846,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_952">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="448" name="Mul_361" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5964,20 +5868,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_953">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="449" name="Constant_362" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_954" />
 			</output>
 		</layer>
-		<layer id="462" name="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="450" name="Mul_363" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5988,14 +5892,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_955">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="/nncf_module/vit/encoder/layer.1/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="451" name="Constant_364" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="15114480" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -6004,7 +5908,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="464" name="Convert_33778" type="Convert" version="opset1">
+		<layer id="452" name="Convert_33700" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -6019,7 +5923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="465" name="Constant_33715" type="Const" version="opset1">
+		<layer id="453" name="Constant_33637" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="17473776" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -6028,7 +5932,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="/nncf_module/vit/encoder/layer.1/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="454" name="FakeQuantize_367" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6041,13 +5945,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_959">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="Constant_1913" type="Const" version="opset1">
+		<layer id="455" name="Constant_1901" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -6055,7 +5959,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="/nncf_module/vit/encoder/layer.1/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="456" name="Transpose_368" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -6066,13 +5970,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_960">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="/nncf_module/vit/encoder/layer.1/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="457" name="MatMul_369" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6086,14 +5990,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_961">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="/nncf_module/vit/encoder/layer.1/output/dense/Add" type="Add" version="opset1">
+		<layer id="458" name="Add_370" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6106,14 +6010,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_962">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="/nncf_module/vit/encoder/layer.1/output/Add" type="Add" version="opset1">
+		<layer id="459" name="Add_371" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6128,14 +6032,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.1/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.19">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="472" name="Constant_1918" type="Const" version="opset1">
+		<layer id="460" name="Constant_1906" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6143,7 +6047,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="/nncf_module/vit/encoder/layer.2/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="461" name="ReduceMean_372" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6156,14 +6060,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_964">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="462" name="Sub_373" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6178,20 +6082,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_965">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="463" name="Constant_374" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_966" />
 			</output>
 		</layer>
-		<layer id="476" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="464" name="Pow_375" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6202,14 +6106,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_967">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="Constant_1923" type="Const" version="opset1">
+		<layer id="465" name="Constant_1911" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6217,7 +6121,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="/nncf_module/vit/encoder/layer.2/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="466" name="ReduceMean_376" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6230,20 +6134,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_968">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="467" name="Constant_377" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_969" />
 			</output>
 		</layer>
-		<layer id="480" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="468" name="Add_378" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6254,14 +6158,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_970">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="469" name="Sqrt_379" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6270,14 +6174,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_971">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="470" name="Div_380" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6292,14 +6196,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_972">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="nncf_module.vit.encoder.layer.2.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="471" name="nncf_module.vit.encoder.layer.2.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="17476848" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.2.layernorm_before.weight">
@@ -6307,7 +6211,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="472" name="Mul_381" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6320,14 +6224,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_973">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="nncf_module.vit.encoder.layer.2.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="473" name="nncf_module.vit.encoder.layer.2.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="17479920" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.2.layernorm_before.bias">
@@ -6335,7 +6239,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="/nncf_module/vit/encoder/layer.2/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="474" name="Add_382" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6348,30 +6252,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.47">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="/nncf_module/vit/encoder/layer.2/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="475" name="Constant_383" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="17482992" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_975">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="/nncf_module/vit/encoder/layer.2/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="476" name="Constant_384" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="17482996" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_976">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="/nncf_module/vit/encoder/layer.2/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="477" name="FakeQuantize_385" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6393,14 +6297,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_977">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="/nncf_module/vit/encoder/layer.2/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="478" name="Constant_386" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="17483000" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -6409,7 +6313,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="Convert_33899" type="Convert" version="opset1">
+		<layer id="479" name="Convert_33821" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -6424,7 +6328,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="Constant_33836" type="Const" version="opset1">
+		<layer id="480" name="Constant_33758" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="18072824" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -6433,7 +6337,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="/nncf_module/vit/encoder/layer.2/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="481" name="FakeQuantize_389" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6446,13 +6350,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_981">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="Constant_1938" type="Const" version="opset1">
+		<layer id="482" name="Constant_1926" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -6460,7 +6364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="/nncf_module/vit/encoder/layer.2/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="483" name="Transpose_390" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -6471,13 +6375,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_982">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="/nncf_module/vit/encoder/layer.2/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="484" name="MatMul_391" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6491,14 +6395,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_983">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="/nncf_module/vit/encoder/layer.2/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="485" name="Add_392" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6511,14 +6415,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.51">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="486" name="Shape_428" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6528,24 +6432,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1028">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="487" name="Constant_429" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1029" />
 			</output>
 		</layer>
-		<layer id="500" name="Constant_2224" type="Const" version="opset1">
+		<layer id="488" name="Constant_2208" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="501" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="489" name="Gather_430" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6555,10 +6459,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1030" />
 			</output>
 		</layer>
-		<layer id="502" name="Constant_2230" type="Const" version="opset1">
+		<layer id="490" name="Constant_2214" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6566,7 +6470,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="491" name="Unsqueeze_434" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6574,12 +6478,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1036">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="492" name="Shape_431" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6589,24 +6493,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1031">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="493" name="Constant_432" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1032" />
 			</output>
 		</layer>
-		<layer id="506" name="Constant_2228" type="Const" version="opset1">
+		<layer id="494" name="Constant_2212" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="507" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="495" name="Gather_433" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6616,10 +6520,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1033" />
 			</output>
 		</layer>
-		<layer id="508" name="Constant_2232" type="Const" version="opset1">
+		<layer id="496" name="Constant_2216" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6627,7 +6531,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="497" name="Unsqueeze_435" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6635,28 +6539,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="510" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_10_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="511" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_11_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1037">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="/nncf_module/vit/encoder/layer.2/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="498" name="Concat_436" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6673,12 +6561,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1040">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="499" name="Reshape_437" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6691,7 +6579,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1041">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -6699,7 +6587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="514" name="Constant_2353" type="Const" version="opset1">
+		<layer id="500" name="Constant_2335" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -6707,7 +6595,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="501" name="Transpose_438" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6720,7 +6608,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1042">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -6728,7 +6616,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="nncf_module.vit.encoder.layer.2.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="502" name="nncf_module.vit.encoder.layer.2.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="18075896" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.2.attention.attention.key.bias">
@@ -6736,7 +6624,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="/nncf_module/vit/encoder/layer.2/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="503" name="Constant_393" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="18078968" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -6745,7 +6633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="Convert_34020" type="Convert" version="opset1">
+		<layer id="504" name="Convert_33942" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -6760,7 +6648,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="519" name="Constant_33957" type="Const" version="opset1">
+		<layer id="505" name="Constant_33879" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="18668792" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -6769,7 +6657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="/nncf_module/vit/encoder/layer.2/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="506" name="FakeQuantize_396" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6782,13 +6670,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_988">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="Constant_1946" type="Const" version="opset1">
+		<layer id="507" name="Constant_1934" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -6796,7 +6684,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="/nncf_module/vit/encoder/layer.2/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="508" name="Transpose_397" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -6807,13 +6695,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_989">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="/nncf_module/vit/encoder/layer.2/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="509" name="MatMul_398" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6827,14 +6715,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_990">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="/nncf_module/vit/encoder/layer.2/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="510" name="Add_399" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6847,14 +6735,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.55">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="511" name="Shape_400" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6864,24 +6752,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_992">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="512" name="Constant_401" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_993" />
 			</output>
 		</layer>
-		<layer id="527" name="Constant_1952" type="Const" version="opset1">
+		<layer id="513" name="Constant_1940" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="528" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="514" name="Gather_402" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6891,10 +6779,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_994" />
 			</output>
 		</layer>
-		<layer id="529" name="Constant_1958" type="Const" version="opset1">
+		<layer id="515" name="Constant_1946" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6902,7 +6790,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="516" name="Unsqueeze_406" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6910,12 +6798,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1000">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="517" name="Shape_403" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6925,24 +6813,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_995">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="518" name="Constant_404" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_996" />
 			</output>
 		</layer>
-		<layer id="533" name="Constant_1956" type="Const" version="opset1">
+		<layer id="519" name="Constant_1944" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="534" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="520" name="Gather_405" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6952,10 +6840,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_997" />
 			</output>
 		</layer>
-		<layer id="535" name="Constant_1960" type="Const" version="opset1">
+		<layer id="521" name="Constant_1948" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6963,7 +6851,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="522" name="Unsqueeze_407" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6971,28 +6859,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_1_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1001">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="538" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="539" name="/nncf_module/vit/encoder/layer.2/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="523" name="Concat_408" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7009,12 +6881,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1004">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="524" name="Reshape_409" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7027,7 +6899,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1005">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -7035,7 +6907,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="Constant_2355" type="Const" version="opset1">
+		<layer id="525" name="Constant_2337" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -7043,7 +6915,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="526" name="Transpose_439" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7056,7 +6928,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1043">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -7064,7 +6936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="/nncf_module/vit/encoder/layer.2/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="527" name="MatMul_440" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7081,7 +6953,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1044">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -7089,13 +6961,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="528" name="Constant_441" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1045" />
 			</output>
 		</layer>
-		<layer id="545" name="/nncf_module/vit/encoder/layer.2/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="529" name="Div_442" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7107,7 +6979,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.23">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -7115,7 +6987,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="ShapeOf_2360" type="ShapeOf" version="opset1">
+		<layer id="530" name="ShapeOf_2342" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7130,7 +7002,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="Constant_2363" type="Const" version="opset1">
+		<layer id="531" name="Constant_2345" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7138,7 +7010,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="Constant_2362" type="Const" version="opset1">
+		<layer id="532" name="Constant_2344" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7146,7 +7018,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="Constant_2364" type="Const" version="opset1">
+		<layer id="533" name="Constant_2346" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7154,7 +7026,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="550" name="StridedSlice_2365" type="StridedSlice" version="opset1">
+		<layer id="534" name="StridedSlice_2347" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -7176,13 +7048,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="551" name="Constant_2366" type="Const" version="opset1">
+		<layer id="535" name="Constant_2348" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="552" name="ReduceProd_2367" type="ReduceProd" version="opset1">
+		<layer id="536" name="ReduceProd_2349" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -7196,7 +7068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="553" name="Constant_2368" type="Const" version="opset1">
+		<layer id="537" name="Constant_2350" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7204,7 +7076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="Concat_2369" type="Concat" version="opset1">
+		<layer id="538" name="Concat_2351" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7220,7 +7092,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="555" name="Reshape_2370" type="Reshape" version="opset1">
+		<layer id="539" name="Reshape_2352" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7240,7 +7112,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="556" name="Softmax_2433" type="SoftMax" version="opset8">
+		<layer id="540" name="Softmax_2415" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7255,7 +7127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="557" name="ShapeOf_2434" type="ShapeOf" version="opset3">
+		<layer id="541" name="ShapeOf_2416" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7271,7 +7143,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="558" name="/nncf_module/vit/encoder/layer.2/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="542" name="Softmax_443" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7283,7 +7155,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1047">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -7291,7 +7163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="559" name="nncf_module.vit.encoder.layer.2.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="543" name="nncf_module.vit.encoder.layer.2.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="18671864" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.2.attention.attention.value.bias">
@@ -7299,7 +7171,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="560" name="/nncf_module/vit/encoder/layer.2/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="544" name="Constant_410" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="18674936" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -7308,7 +7180,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="Convert_34141" type="Convert" version="opset1">
+		<layer id="545" name="Convert_34063" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -7323,7 +7195,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="Constant_34078" type="Const" version="opset1">
+		<layer id="546" name="Constant_34000" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="19264760" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -7332,7 +7204,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="563" name="/nncf_module/vit/encoder/layer.2/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="547" name="FakeQuantize_413" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7345,13 +7217,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1009">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="564" name="Constant_2085" type="Const" version="opset1">
+		<layer id="548" name="Constant_2071" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -7359,7 +7231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="565" name="/nncf_module/vit/encoder/layer.2/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="549" name="Transpose_414" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -7370,13 +7242,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1010">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="566" name="/nncf_module/vit/encoder/layer.2/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="550" name="MatMul_415" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7390,14 +7262,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1011">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="567" name="/nncf_module/vit/encoder/layer.2/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="551" name="Add_416" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7410,14 +7282,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.59">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="552" name="Shape_417" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7427,24 +7299,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1013">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="569" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="553" name="Constant_418" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1014" />
 			</output>
 		</layer>
-		<layer id="570" name="Constant_2091" type="Const" version="opset1">
+		<layer id="554" name="Constant_2077" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="571" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="555" name="Gather_419" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7454,10 +7326,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1015" />
 			</output>
 		</layer>
-		<layer id="572" name="Constant_2097" type="Const" version="opset1">
+		<layer id="556" name="Constant_2083" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7465,7 +7337,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="573" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="557" name="Unsqueeze_423" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7473,12 +7345,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1021">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="574" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="558" name="Shape_420" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7488,24 +7360,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1016">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="575" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="559" name="Constant_421" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1017" />
 			</output>
 		</layer>
-		<layer id="576" name="Constant_2095" type="Const" version="opset1">
+		<layer id="560" name="Constant_2081" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="577" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="561" name="Gather_422" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7515,10 +7387,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1018" />
 			</output>
 		</layer>
-		<layer id="578" name="Constant_2099" type="Const" version="opset1">
+		<layer id="562" name="Constant_2085" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7526,7 +7398,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="563" name="Unsqueeze_424" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7534,28 +7406,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1022">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="581" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="582" name="/nncf_module/vit/encoder/layer.2/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="564" name="Concat_425" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7572,12 +7428,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1025">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="583" name="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="565" name="Reshape_426" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7590,7 +7446,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1026">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -7598,7 +7454,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="584" name="Constant_2220" type="Const" version="opset1">
+		<layer id="566" name="Constant_2204" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -7606,7 +7462,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="585" name="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="567" name="Transpose_427" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7619,7 +7475,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1027">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -7627,7 +7483,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="/nncf_module/vit/encoder/layer.2/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="568" name="MatMul_444" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7644,7 +7500,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.63">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -7652,23 +7508,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="587" name="/nncf_module/vit/encoder/layer.2/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="569" name="Constant_445" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="19267832" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1049">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="588" name="/nncf_module/vit/encoder/layer.2/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="570" name="Constant_446" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="19267836" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1050">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="589" name="/nncf_module/vit/encoder/layer.2/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="571" name="FakeQuantize_447" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7691,7 +7547,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_1051">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -7699,7 +7555,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="590" name="Constant_2450" type="Const" version="opset1">
+		<layer id="572" name="Constant_2432" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -7707,7 +7563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="591" name="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="573" name="Transpose_448" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7720,7 +7576,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_1052">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -7728,7 +7584,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="592" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="574" name="Shape_449" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7739,24 +7595,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1053">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="593" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="575" name="Constant_450" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1054" />
 			</output>
 		</layer>
-		<layer id="594" name="Constant_2454" type="Const" version="opset1">
+		<layer id="576" name="Constant_2436" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="595" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="577" name="Gather_451" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7766,10 +7622,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1055" />
 			</output>
 		</layer>
-		<layer id="596" name="Constant_2460" type="Const" version="opset1">
+		<layer id="578" name="Constant_2442" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7777,7 +7633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="579" name="Unsqueeze_455" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7785,12 +7641,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1060">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="580" name="Shape_452" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7801,24 +7657,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1056">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="581" name="Constant_453" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1057" />
 			</output>
 		</layer>
-		<layer id="600" name="Constant_2458" type="Const" version="opset1">
+		<layer id="582" name="Constant_2440" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="601" name="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="583" name="Gather_454" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7828,10 +7684,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1058" />
 			</output>
 		</layer>
-		<layer id="602" name="Constant_2462" type="Const" version="opset1">
+		<layer id="584" name="Constant_2444" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7839,7 +7695,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="603" name="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="585" name="Unsqueeze_456" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7847,20 +7703,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Unsqueeze_7_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1061">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="604" name="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Constant_15_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="605" name="/nncf_module/vit/encoder/layer.2/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="586" name="Concat_457" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7874,12 +7722,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.2/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_1063">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="606" name="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="587" name="Reshape_458" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7893,14 +7741,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1064">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="607" name="/nncf_module/vit/encoder/layer.2/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="588" name="Constant_459" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="19267840" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -7909,7 +7757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="608" name="Convert_34262" type="Convert" version="opset1">
+		<layer id="589" name="Convert_34184" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -7924,7 +7772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="609" name="Constant_34199" type="Const" version="opset1">
+		<layer id="590" name="Constant_34121" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="19857664" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -7933,7 +7781,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="610" name="/nncf_module/vit/encoder/layer.2/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="591" name="FakeQuantize_462" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7946,13 +7794,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1068">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="611" name="Constant_2580" type="Const" version="opset1">
+		<layer id="592" name="Constant_2561" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -7960,7 +7808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="612" name="/nncf_module/vit/encoder/layer.2/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="593" name="Transpose_463" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -7971,13 +7819,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1069">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="613" name="/nncf_module/vit/encoder/layer.2/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="594" name="MatMul_464" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7991,14 +7839,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1070">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="/nncf_module/vit/encoder/layer.2/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="595" name="Add_465" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8011,14 +7859,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1071">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="/nncf_module/vit/encoder/layer.2/Add" type="Add" version="opset1">
+		<layer id="596" name="Add_466" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8033,14 +7881,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/Add_output_0">
+				<port id="2" precision="FP32" names="input.27">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="Constant_2585" type="Const" version="opset1">
+		<layer id="597" name="Constant_2566" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8048,7 +7896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="/nncf_module/vit/encoder/layer.2/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="598" name="ReduceMean_467" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8061,14 +7909,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1073">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="618" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="599" name="Sub_468" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8083,20 +7931,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1074">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="600" name="Constant_469" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1075" />
 			</output>
 		</layer>
-		<layer id="620" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="601" name="Pow_470" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8107,14 +7955,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1076">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="621" name="Constant_2590" type="Const" version="opset1">
+		<layer id="602" name="Constant_2571" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8122,7 +7970,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="622" name="/nncf_module/vit/encoder/layer.2/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="603" name="ReduceMean_471" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8135,20 +7983,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1077">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="623" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="604" name="Constant_472" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1078" />
 			</output>
 		</layer>
-		<layer id="624" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="605" name="Add_473" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8159,14 +8007,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1079">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="606" name="Sqrt_474" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8175,14 +8023,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1080">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="607" name="Div_475" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8197,14 +8045,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1081">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="627" name="nncf_module.vit.encoder.layer.2.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="608" name="nncf_module.vit.encoder.layer.2.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="19860736" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.2.layernorm_after.weight">
@@ -8212,7 +8060,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="628" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="609" name="Mul_476" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8225,14 +8073,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1082">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="629" name="nncf_module.vit.encoder.layer.2.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="610" name="nncf_module.vit.encoder.layer.2.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="19863808" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.2.layernorm_after.bias">
@@ -8240,7 +8088,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="630" name="/nncf_module/vit/encoder/layer.2/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="611" name="Add_477" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8253,30 +8101,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.67">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="631" name="/nncf_module/vit/encoder/layer.2/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="612" name="Constant_478" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="19866880" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1084">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="632" name="/nncf_module/vit/encoder/layer.2/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="613" name="Constant_479" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="19866884" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1085">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="633" name="/nncf_module/vit/encoder/layer.2/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="614" name="FakeQuantize_480" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8298,14 +8146,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.2/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[2]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1086">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="634" name="/nncf_module/vit/encoder/layer.2/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="615" name="Constant_481" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="19866888" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -8314,7 +8162,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="635" name="Convert_34383" type="Convert" version="opset1">
+		<layer id="616" name="Convert_34305" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -8329,7 +8177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="636" name="Constant_34320" type="Const" version="opset1">
+		<layer id="617" name="Constant_34242" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="22226184" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -8338,7 +8186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="637" name="/nncf_module/vit/encoder/layer.2/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="618" name="FakeQuantize_484" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8351,13 +8199,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1090">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="638" name="Constant_2605" type="Const" version="opset1">
+		<layer id="619" name="Constant_2586" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -8365,7 +8213,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="639" name="/nncf_module/vit/encoder/layer.2/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="620" name="Transpose_485" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -8376,13 +8224,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1091">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="/nncf_module/vit/encoder/layer.2/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="621" name="MatMul_486" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8396,14 +8244,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1092">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="641" name="/nncf_module/vit/encoder/layer.2/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="622" name="Add_487" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8416,20 +8264,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1093">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="642" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="623" name="Constant_488" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1094" />
 			</output>
 		</layer>
-		<layer id="643" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="624" name="Div_489" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8440,14 +8288,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_1095">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="625" name="Erf_490" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8456,20 +8304,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_1096">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="645" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="626" name="Constant_491" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1097" />
 			</output>
 		</layer>
-		<layer id="646" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="627" name="Add_492" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8480,14 +8328,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1098">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="647" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="628" name="Mul_493" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8502,20 +8350,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1099">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="648" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="629" name="Constant_494" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_1100" />
 			</output>
 		</layer>
-		<layer id="649" name="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="630" name="Mul_495" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8526,14 +8374,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1101">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="650" name="/nncf_module/vit/encoder/layer.2/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="631" name="Constant_496" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="22238472" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -8542,7 +8390,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="651" name="Convert_34504" type="Convert" version="opset1">
+		<layer id="632" name="Convert_34426" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -8557,7 +8405,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="652" name="Constant_34441" type="Const" version="opset1">
+		<layer id="633" name="Constant_34363" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="24597768" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -8566,7 +8414,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="653" name="/nncf_module/vit/encoder/layer.2/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="634" name="FakeQuantize_499" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8579,13 +8427,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1105">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="654" name="Constant_2621" type="Const" version="opset1">
+		<layer id="635" name="Constant_2602" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -8593,7 +8441,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="655" name="/nncf_module/vit/encoder/layer.2/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="636" name="Transpose_500" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -8604,13 +8452,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1106">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="656" name="/nncf_module/vit/encoder/layer.2/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="637" name="MatMul_501" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8624,14 +8472,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1107">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="657" name="/nncf_module/vit/encoder/layer.2/output/dense/Add" type="Add" version="opset1">
+		<layer id="638" name="Add_502" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8644,14 +8492,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1108">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="658" name="/nncf_module/vit/encoder/layer.2/output/Add" type="Add" version="opset1">
+		<layer id="639" name="Add_503" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8666,14 +8514,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.2/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.31">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="659" name="Constant_2626" type="Const" version="opset1">
+		<layer id="640" name="Constant_2607" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8681,7 +8529,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="660" name="/nncf_module/vit/encoder/layer.3/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="641" name="ReduceMean_504" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8694,14 +8542,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1110">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="661" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="642" name="Sub_505" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8716,20 +8564,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1111">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="662" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="643" name="Constant_506" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1112" />
 			</output>
 		</layer>
-		<layer id="663" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="644" name="Pow_507" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8740,14 +8588,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1113">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="664" name="Constant_2631" type="Const" version="opset1">
+		<layer id="645" name="Constant_2612" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8755,7 +8603,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="665" name="/nncf_module/vit/encoder/layer.3/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="646" name="ReduceMean_508" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8768,20 +8616,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1114">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="666" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="647" name="Constant_5090" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1115" />
 			</output>
 		</layer>
-		<layer id="667" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="648" name="Add_510" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8792,14 +8640,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1116">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="668" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="649" name="Sqrt_511" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8808,14 +8656,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1117">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="669" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="650" name="Div_512" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8830,14 +8678,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1118">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="670" name="nncf_module.vit.encoder.layer.3.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="651" name="nncf_module.vit.encoder.layer.3.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="24600840" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.3.layernorm_before.weight">
@@ -8845,7 +8693,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="671" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="652" name="Mul_513" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8858,14 +8706,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1119">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="672" name="nncf_module.vit.encoder.layer.3.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="653" name="nncf_module.vit.encoder.layer.3.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="24603912" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.3.layernorm_before.bias">
@@ -8873,7 +8721,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="673" name="/nncf_module/vit/encoder/layer.3/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="654" name="Add_514" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8886,30 +8734,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.71">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="674" name="/nncf_module/vit/encoder/layer.3/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="655" name="Constant_515" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="24606984" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1121">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="675" name="/nncf_module/vit/encoder/layer.3/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="656" name="Constant_516" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="24606988" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1122">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="676" name="/nncf_module/vit/encoder/layer.3/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="657" name="FakeQuantize_517" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8931,14 +8779,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1123">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="677" name="/nncf_module/vit/encoder/layer.3/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="658" name="Constant_518" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="24606992" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -8947,7 +8795,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="678" name="Convert_34625" type="Convert" version="opset1">
+		<layer id="659" name="Convert_34547" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -8962,7 +8810,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="679" name="Constant_34562" type="Const" version="opset1">
+		<layer id="660" name="Constant_34484" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="25196816" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -8971,7 +8819,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="680" name="/nncf_module/vit/encoder/layer.3/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="661" name="FakeQuantize_521" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8984,13 +8832,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1127">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="681" name="Constant_2646" type="Const" version="opset1">
+		<layer id="662" name="Constant_2627" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -8998,7 +8846,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="682" name="/nncf_module/vit/encoder/layer.3/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="663" name="Transpose_522" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -9009,13 +8857,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1128">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="683" name="/nncf_module/vit/encoder/layer.3/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="664" name="MatMul_523" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9029,14 +8877,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1129">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="684" name="/nncf_module/vit/encoder/layer.3/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="665" name="Add_524" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9049,14 +8897,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.75">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="685" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="666" name="Shape_560" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9066,24 +8914,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1174">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="686" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="667" name="Constant_561" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1175" />
 			</output>
 		</layer>
-		<layer id="687" name="Constant_2932" type="Const" version="opset1">
+		<layer id="668" name="Constant_2909" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="688" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="669" name="Gather_562" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9093,10 +8941,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1176" />
 			</output>
 		</layer>
-		<layer id="689" name="Constant_2938" type="Const" version="opset1">
+		<layer id="670" name="Constant_2915" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9104,7 +8952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="690" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="671" name="Unsqueeze_566" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9112,12 +8960,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1182">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="691" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="672" name="Shape_563" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9127,24 +8975,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1177">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="692" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="673" name="Constant_564" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1178" />
 			</output>
 		</layer>
-		<layer id="693" name="Constant_2936" type="Const" version="opset1">
+		<layer id="674" name="Constant_2913" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="694" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="675" name="Gather_565" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9154,10 +9002,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1179" />
 			</output>
 		</layer>
-		<layer id="695" name="Constant_2940" type="Const" version="opset1">
+		<layer id="676" name="Constant_2917" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9165,7 +9013,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="696" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="677" name="Unsqueeze_567" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9173,28 +9021,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="697" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_10_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="698" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_11_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1183">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="699" name="/nncf_module/vit/encoder/layer.3/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="678" name="Concat_568" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9211,12 +9043,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1186">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="700" name="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="679" name="Reshape_569" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9229,7 +9061,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1187">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -9237,7 +9069,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="701" name="Constant_3061" type="Const" version="opset1">
+		<layer id="680" name="Constant_3036" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -9245,7 +9077,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="702" name="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="681" name="Transpose_570" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9258,7 +9090,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1188">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -9266,7 +9098,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="703" name="nncf_module.vit.encoder.layer.3.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="682" name="nncf_module.vit.encoder.layer.3.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="25199888" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.3.attention.attention.key.bias">
@@ -9274,7 +9106,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="704" name="/nncf_module/vit/encoder/layer.3/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="683" name="Constant_525" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="25202960" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -9283,7 +9115,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="705" name="Convert_34746" type="Convert" version="opset1">
+		<layer id="684" name="Convert_34668" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -9298,7 +9130,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="706" name="Constant_34683" type="Const" version="opset1">
+		<layer id="685" name="Constant_34605" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="25792784" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -9307,7 +9139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="707" name="/nncf_module/vit/encoder/layer.3/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="686" name="FakeQuantize_528" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9320,13 +9152,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1134">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="708" name="Constant_2654" type="Const" version="opset1">
+		<layer id="687" name="Constant_2635" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -9334,7 +9166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="709" name="/nncf_module/vit/encoder/layer.3/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="688" name="Transpose_529" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -9345,13 +9177,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1135">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="710" name="/nncf_module/vit/encoder/layer.3/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="689" name="MatMul_530" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9365,14 +9197,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1136">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="711" name="/nncf_module/vit/encoder/layer.3/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="690" name="Add_531" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9385,14 +9217,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.79">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="712" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="691" name="Shape_532" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9402,24 +9234,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1138">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="713" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="692" name="Constant_533" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1139" />
 			</output>
 		</layer>
-		<layer id="714" name="Constant_2660" type="Const" version="opset1">
+		<layer id="693" name="Constant_2641" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="715" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="694" name="Gather_534" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9429,10 +9261,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1140" />
 			</output>
 		</layer>
-		<layer id="716" name="Constant_2666" type="Const" version="opset1">
+		<layer id="695" name="Constant_2647" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9440,7 +9272,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="717" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="696" name="Unsqueeze_538" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9448,12 +9280,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1146">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="718" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="697" name="Shape_535" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9463,24 +9295,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1141">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="719" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="698" name="Constant_536" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1142" />
 			</output>
 		</layer>
-		<layer id="720" name="Constant_2664" type="Const" version="opset1">
+		<layer id="699" name="Constant_2645" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="721" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="700" name="Gather_537" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9490,10 +9322,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1143" />
 			</output>
 		</layer>
-		<layer id="722" name="Constant_2668" type="Const" version="opset1">
+		<layer id="701" name="Constant_2649" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9501,7 +9333,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="723" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="702" name="Unsqueeze_539" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9509,28 +9341,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="724" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1147">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="725" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="726" name="/nncf_module/vit/encoder/layer.3/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="703" name="Concat_540" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9547,12 +9363,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1150">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="727" name="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="704" name="Reshape_541" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9565,7 +9381,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1151">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -9573,7 +9389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="728" name="Constant_3063" type="Const" version="opset1">
+		<layer id="705" name="Constant_3038" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -9581,7 +9397,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="729" name="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="706" name="Transpose_571" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9594,7 +9410,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1189">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -9602,7 +9418,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="730" name="/nncf_module/vit/encoder/layer.3/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="707" name="MatMul_572" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9619,7 +9435,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1190">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -9627,13 +9443,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="731" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="708" name="Constant_573" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1191" />
 			</output>
 		</layer>
-		<layer id="732" name="/nncf_module/vit/encoder/layer.3/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="709" name="Div_574" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9645,7 +9461,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.35">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -9653,7 +9469,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="733" name="ShapeOf_3068" type="ShapeOf" version="opset1">
+		<layer id="710" name="ShapeOf_3043" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9668,7 +9484,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="734" name="Constant_3071" type="Const" version="opset1">
+		<layer id="711" name="Constant_3046" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9676,7 +9492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="735" name="Constant_3070" type="Const" version="opset1">
+		<layer id="712" name="Constant_3045" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9684,7 +9500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="736" name="Constant_3072" type="Const" version="opset1">
+		<layer id="713" name="Constant_3047" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9692,7 +9508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="737" name="StridedSlice_3073" type="StridedSlice" version="opset1">
+		<layer id="714" name="StridedSlice_3048" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -9714,13 +9530,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="738" name="Constant_3074" type="Const" version="opset1">
+		<layer id="715" name="Constant_3049" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="739" name="ReduceProd_3075" type="ReduceProd" version="opset1">
+		<layer id="716" name="ReduceProd_3050" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -9734,7 +9550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="740" name="Constant_3076" type="Const" version="opset1">
+		<layer id="717" name="Constant_3051" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9742,7 +9558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="741" name="Concat_3077" type="Concat" version="opset1">
+		<layer id="718" name="Concat_3052" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9758,7 +9574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="742" name="Reshape_3078" type="Reshape" version="opset1">
+		<layer id="719" name="Reshape_3053" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9778,7 +9594,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="743" name="Softmax_3141" type="SoftMax" version="opset8">
+		<layer id="720" name="Softmax_3116" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9793,7 +9609,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="744" name="ShapeOf_3142" type="ShapeOf" version="opset3">
+		<layer id="721" name="ShapeOf_3117" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9809,7 +9625,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="745" name="/nncf_module/vit/encoder/layer.3/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="722" name="Softmax_575" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9821,7 +9637,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1193">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -9829,7 +9645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="746" name="nncf_module.vit.encoder.layer.3.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="723" name="nncf_module.vit.encoder.layer.3.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="25795856" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.3.attention.attention.value.bias">
@@ -9837,7 +9653,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="747" name="/nncf_module/vit/encoder/layer.3/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="724" name="Constant_5420" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="25798928" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -9846,7 +9662,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="748" name="Convert_34867" type="Convert" version="opset1">
+		<layer id="725" name="Convert_34789" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -9861,7 +9677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="749" name="Constant_34804" type="Const" version="opset1">
+		<layer id="726" name="Constant_34726" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="26388752" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -9870,7 +9686,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="750" name="/nncf_module/vit/encoder/layer.3/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="727" name="FakeQuantize_545" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9883,13 +9699,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1155">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="751" name="Constant_2793" type="Const" version="opset1">
+		<layer id="728" name="Constant_2772" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -9897,7 +9713,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="752" name="/nncf_module/vit/encoder/layer.3/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="729" name="Transpose_546" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -9908,13 +9724,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1156">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="753" name="/nncf_module/vit/encoder/layer.3/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="730" name="MatMul_547" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9928,14 +9744,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1157">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="754" name="/nncf_module/vit/encoder/layer.3/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="731" name="Add_548" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9948,14 +9764,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.83">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="755" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="732" name="Shape_549" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9965,24 +9781,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1159">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="756" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="733" name="Constant_550" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1160" />
 			</output>
 		</layer>
-		<layer id="757" name="Constant_2799" type="Const" version="opset1">
+		<layer id="734" name="Constant_2778" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="758" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="735" name="Gather_551" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9992,10 +9808,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1161" />
 			</output>
 		</layer>
-		<layer id="759" name="Constant_2805" type="Const" version="opset1">
+		<layer id="736" name="Constant_2784" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10003,7 +9819,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="760" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="737" name="Unsqueeze_555" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -10011,12 +9827,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1167">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="761" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="738" name="Shape_552" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10026,24 +9842,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1162">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="762" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="739" name="Constant_553" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1163" />
 			</output>
 		</layer>
-		<layer id="763" name="Constant_2803" type="Const" version="opset1">
+		<layer id="740" name="Constant_2782" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="764" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="741" name="Gather_554" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10053,10 +9869,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1164" />
 			</output>
 		</layer>
-		<layer id="765" name="Constant_2807" type="Const" version="opset1">
+		<layer id="742" name="Constant_2786" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10064,7 +9880,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="766" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="743" name="Unsqueeze_556" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -10072,28 +9888,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="767" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1168">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="768" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="769" name="/nncf_module/vit/encoder/layer.3/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="744" name="Concat_557" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10110,12 +9910,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1171">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="770" name="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="745" name="Reshape_558" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10128,7 +9928,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1172">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -10136,7 +9936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="771" name="Constant_2928" type="Const" version="opset1">
+		<layer id="746" name="Constant_2905" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -10144,7 +9944,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="772" name="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="747" name="Transpose_559" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10157,7 +9957,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1173">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -10165,7 +9965,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="773" name="/nncf_module/vit/encoder/layer.3/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="748" name="MatMul_576" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10182,7 +9982,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.87">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -10190,23 +9990,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="774" name="/nncf_module/vit/encoder/layer.3/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="749" name="Constant_577" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="26391824" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1195">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="775" name="/nncf_module/vit/encoder/layer.3/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="750" name="Constant_578" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="26391828" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1196">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="776" name="/nncf_module/vit/encoder/layer.3/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="751" name="FakeQuantize_579" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10229,7 +10029,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_1197">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -10237,7 +10037,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="777" name="Constant_3158" type="Const" version="opset1">
+		<layer id="752" name="Constant_3133" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -10245,7 +10045,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="778" name="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="753" name="Transpose_580" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10258,7 +10058,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_1198">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -10266,7 +10066,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="779" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="754" name="Shape_581" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10277,24 +10077,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1199">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="780" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="755" name="Constant_582" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1200" />
 			</output>
 		</layer>
-		<layer id="781" name="Constant_3162" type="Const" version="opset1">
+		<layer id="756" name="Constant_3137" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="782" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="757" name="Gather_583" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10304,10 +10104,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1201" />
 			</output>
 		</layer>
-		<layer id="783" name="Constant_3168" type="Const" version="opset1">
+		<layer id="758" name="Constant_3143" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10315,7 +10115,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="784" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="759" name="Unsqueeze_587" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -10323,12 +10123,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1206">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="785" name="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="760" name="Shape_584" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10339,24 +10139,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1202">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="786" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="761" name="Constant_585" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1203" />
 			</output>
 		</layer>
-		<layer id="787" name="Constant_3166" type="Const" version="opset1">
+		<layer id="762" name="Constant_3141" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="788" name="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="763" name="Gather_586" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10366,10 +10166,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1204" />
 			</output>
 		</layer>
-		<layer id="789" name="Constant_3170" type="Const" version="opset1">
+		<layer id="764" name="Constant_3145" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10377,7 +10177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="790" name="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="765" name="Unsqueeze_588" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -10385,20 +10185,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="791" name="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1207">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="792" name="/nncf_module/vit/encoder/layer.3/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="766" name="Concat_589" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10412,12 +10204,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.3/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_1209">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="793" name="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="767" name="Reshape_590" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10431,14 +10223,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1210">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="794" name="/nncf_module/vit/encoder/layer.3/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="768" name="Constant_591" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="26391832" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -10447,7 +10239,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="795" name="Convert_34988" type="Convert" version="opset1">
+		<layer id="769" name="Convert_34910" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -10462,7 +10254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="796" name="Constant_34925" type="Const" version="opset1">
+		<layer id="770" name="Constant_34847" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="26981656" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -10471,7 +10263,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="797" name="/nncf_module/vit/encoder/layer.3/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="771" name="FakeQuantize_594" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10484,13 +10276,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1214">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="798" name="Constant_3288" type="Const" version="opset1">
+		<layer id="772" name="Constant_3262" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -10498,7 +10290,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="799" name="/nncf_module/vit/encoder/layer.3/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="773" name="Transpose_595" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -10509,13 +10301,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1215">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="800" name="/nncf_module/vit/encoder/layer.3/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="774" name="MatMul_596" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10529,14 +10321,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1216">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="801" name="/nncf_module/vit/encoder/layer.3/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="775" name="Add_597" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10549,14 +10341,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1217">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="802" name="/nncf_module/vit/encoder/layer.3/Add" type="Add" version="opset1">
+		<layer id="776" name="Add_598" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10571,14 +10363,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/Add_output_0">
+				<port id="2" precision="FP32" names="input.39">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="803" name="Constant_3293" type="Const" version="opset1">
+		<layer id="777" name="Constant_3267" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10586,7 +10378,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="804" name="/nncf_module/vit/encoder/layer.3/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="778" name="ReduceMean_599" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10599,14 +10391,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1219">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="805" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="779" name="Sub_600" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10621,20 +10413,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1220">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="806" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="780" name="Constant_601" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1221" />
 			</output>
 		</layer>
-		<layer id="807" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="781" name="Pow_602" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10645,14 +10437,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1222">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="808" name="Constant_3298" type="Const" version="opset1">
+		<layer id="782" name="Constant_3272" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10660,7 +10452,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="809" name="/nncf_module/vit/encoder/layer.3/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="783" name="ReduceMean_603" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10673,20 +10465,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1223">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="810" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="784" name="Constant_604" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1224" />
 			</output>
 		</layer>
-		<layer id="811" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="785" name="Add_605" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10697,14 +10489,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1225">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="812" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="786" name="Sqrt_606" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10713,14 +10505,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1226">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="813" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="787" name="Div_607" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10735,14 +10527,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1227">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="814" name="nncf_module.vit.encoder.layer.3.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="788" name="nncf_module.vit.encoder.layer.3.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="26984728" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.3.layernorm_after.weight">
@@ -10750,7 +10542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="815" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="789" name="Mul_608" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10763,14 +10555,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1228">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="816" name="nncf_module.vit.encoder.layer.3.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="790" name="nncf_module.vit.encoder.layer.3.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="26987800" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.3.layernorm_after.bias">
@@ -10778,7 +10570,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="817" name="/nncf_module/vit/encoder/layer.3/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="791" name="Add_609" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10791,30 +10583,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.91">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="818" name="/nncf_module/vit/encoder/layer.3/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="792" name="Constant_610" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="26990872" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1230">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="819" name="/nncf_module/vit/encoder/layer.3/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="793" name="Constant_611" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="26990876" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1231">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="820" name="/nncf_module/vit/encoder/layer.3/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="794" name="FakeQuantize_612" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10836,14 +10628,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.3/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[3]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1232">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="821" name="/nncf_module/vit/encoder/layer.3/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="795" name="Constant_613" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="26990880" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -10852,7 +10644,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="822" name="Convert_35109" type="Convert" version="opset1">
+		<layer id="796" name="Convert_35031" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -10867,7 +10659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="823" name="Constant_35046" type="Const" version="opset1">
+		<layer id="797" name="Constant_34968" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="29350176" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -10876,7 +10668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="824" name="/nncf_module/vit/encoder/layer.3/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="798" name="FakeQuantize_616" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10889,13 +10681,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1236">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="825" name="Constant_3313" type="Const" version="opset1">
+		<layer id="799" name="Constant_3287" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -10903,7 +10695,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="826" name="/nncf_module/vit/encoder/layer.3/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="800" name="Transpose_617" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -10914,13 +10706,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1237">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="827" name="/nncf_module/vit/encoder/layer.3/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="801" name="MatMul_618" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10934,14 +10726,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1238">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="828" name="/nncf_module/vit/encoder/layer.3/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="802" name="Add_619" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10954,20 +10746,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1239">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="829" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="803" name="Constant_620" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1240" />
 			</output>
 		</layer>
-		<layer id="830" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="804" name="Div_621" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10978,14 +10770,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_1241">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="831" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="805" name="Erf_622" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10994,20 +10786,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_1242">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="832" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="806" name="Constant_623" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1243" />
 			</output>
 		</layer>
-		<layer id="833" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="807" name="Add_624" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11018,14 +10810,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1244">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="834" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="808" name="Mul_625" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11040,20 +10832,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1245">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="835" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="809" name="Constant_626" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_1246" />
 			</output>
 		</layer>
-		<layer id="836" name="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="810" name="Mul_627" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11064,14 +10856,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1247">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="837" name="/nncf_module/vit/encoder/layer.3/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="811" name="Constant_628" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="29362464" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -11080,7 +10872,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="838" name="Convert_35230" type="Convert" version="opset1">
+		<layer id="812" name="Convert_35152" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -11095,7 +10887,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="839" name="Constant_35167" type="Const" version="opset1">
+		<layer id="813" name="Constant_35089" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="31721760" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -11104,7 +10896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="840" name="/nncf_module/vit/encoder/layer.3/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="814" name="FakeQuantize_631" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11117,13 +10909,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1251">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="841" name="Constant_3329" type="Const" version="opset1">
+		<layer id="815" name="Constant_3303" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -11131,7 +10923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="842" name="/nncf_module/vit/encoder/layer.3/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="816" name="Transpose_632" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -11142,13 +10934,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1252">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="843" name="/nncf_module/vit/encoder/layer.3/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="817" name="MatMul_633" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11162,14 +10954,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1253">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="844" name="/nncf_module/vit/encoder/layer.3/output/dense/Add" type="Add" version="opset1">
+		<layer id="818" name="Add_634" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11182,14 +10974,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1254">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="845" name="/nncf_module/vit/encoder/layer.3/output/Add" type="Add" version="opset1">
+		<layer id="819" name="Add_635" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11204,14 +10996,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.3/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.43">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="846" name="Constant_3334" type="Const" version="opset1">
+		<layer id="820" name="Constant_3308" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11219,7 +11011,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="847" name="/nncf_module/vit/encoder/layer.4/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="821" name="ReduceMean_636" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11232,14 +11024,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1256">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="848" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="822" name="Sub_637" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11254,20 +11046,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1257">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="849" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="823" name="Constant_638" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1258" />
 			</output>
 		</layer>
-		<layer id="850" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="824" name="Pow_639" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11278,14 +11070,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1259">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="851" name="Constant_3339" type="Const" version="opset1">
+		<layer id="825" name="Constant_3313" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11293,7 +11085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="852" name="/nncf_module/vit/encoder/layer.4/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="826" name="ReduceMean_640" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11306,20 +11098,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1260">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="853" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="827" name="Constant_641" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1261" />
 			</output>
 		</layer>
-		<layer id="854" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="828" name="Add_642" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11330,14 +11122,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1262">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="855" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="829" name="Sqrt_643" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11346,14 +11138,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1263">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="856" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="830" name="Div_644" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11368,14 +11160,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1264">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="857" name="nncf_module.vit.encoder.layer.4.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="831" name="nncf_module.vit.encoder.layer.4.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="31724832" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.4.layernorm_before.weight">
@@ -11383,7 +11175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="858" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="832" name="Mul_645" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11396,14 +11188,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1265">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="859" name="nncf_module.vit.encoder.layer.4.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="833" name="nncf_module.vit.encoder.layer.4.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="31727904" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.4.layernorm_before.bias">
@@ -11411,7 +11203,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="860" name="/nncf_module/vit/encoder/layer.4/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="834" name="Add_646" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11424,30 +11216,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.95">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="861" name="/nncf_module/vit/encoder/layer.4/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="835" name="Constant_647" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="31730976" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1267">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="862" name="/nncf_module/vit/encoder/layer.4/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="836" name="Constant_648" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="31730980" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1268">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="863" name="/nncf_module/vit/encoder/layer.4/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="837" name="FakeQuantize_649" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11469,14 +11261,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1269">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="864" name="/nncf_module/vit/encoder/layer.4/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="838" name="Constant_650" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="31730984" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -11485,7 +11277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="865" name="Convert_35351" type="Convert" version="opset1">
+		<layer id="839" name="Convert_35273" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -11500,7 +11292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="866" name="Constant_35288" type="Const" version="opset1">
+		<layer id="840" name="Constant_35210" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="32320808" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -11509,7 +11301,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="867" name="/nncf_module/vit/encoder/layer.4/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="841" name="FakeQuantize_653" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11522,13 +11314,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1273">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="868" name="Constant_3354" type="Const" version="opset1">
+		<layer id="842" name="Constant_3328" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -11536,7 +11328,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="869" name="/nncf_module/vit/encoder/layer.4/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="843" name="Transpose_654" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -11547,13 +11339,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1274">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="870" name="/nncf_module/vit/encoder/layer.4/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="844" name="MatMul_655" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11567,14 +11359,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1275">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="871" name="/nncf_module/vit/encoder/layer.4/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="845" name="Add_656" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11587,14 +11379,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.99">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="872" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="846" name="Shape_692" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11604,24 +11396,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1320">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="873" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="847" name="Constant_693" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1321" />
 			</output>
 		</layer>
-		<layer id="874" name="Constant_3640" type="Const" version="opset1">
+		<layer id="848" name="Constant_3610" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="875" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="849" name="Gather_694" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11631,10 +11423,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1322" />
 			</output>
 		</layer>
-		<layer id="876" name="Constant_3646" type="Const" version="opset1">
+		<layer id="850" name="Constant_3616" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11642,7 +11434,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="877" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="851" name="Unsqueeze_698" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -11650,12 +11442,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1328">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="878" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="852" name="Shape_695" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11665,24 +11457,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1323">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="879" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="853" name="Constant_696" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1324" />
 			</output>
 		</layer>
-		<layer id="880" name="Constant_3644" type="Const" version="opset1">
+		<layer id="854" name="Constant_3614" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="881" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="855" name="Gather_697" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11692,10 +11484,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1325" />
 			</output>
 		</layer>
-		<layer id="882" name="Constant_3648" type="Const" version="opset1">
+		<layer id="856" name="Constant_3618" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11703,7 +11495,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="883" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="857" name="Unsqueeze_699" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -11711,28 +11503,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="884" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_10_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1329">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="885" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="886" name="/nncf_module/vit/encoder/layer.4/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="858" name="Concat_700" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11749,12 +11525,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1332">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="887" name="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="859" name="Reshape_701" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11767,7 +11543,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1333">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -11775,7 +11551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="888" name="Constant_3769" type="Const" version="opset1">
+		<layer id="860" name="Constant_3737" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -11783,7 +11559,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="889" name="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="861" name="Transpose_702" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11796,7 +11572,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1334">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -11804,7 +11580,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="890" name="nncf_module.vit.encoder.layer.4.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="862" name="nncf_module.vit.encoder.layer.4.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="32323880" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.4.attention.attention.key.bias">
@@ -11812,7 +11588,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="891" name="/nncf_module/vit/encoder/layer.4/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="863" name="Constant_657" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="32326952" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -11821,7 +11597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="892" name="Convert_35472" type="Convert" version="opset1">
+		<layer id="864" name="Convert_35394" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -11836,7 +11612,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="893" name="Constant_35409" type="Const" version="opset1">
+		<layer id="865" name="Constant_35331" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="32916776" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -11845,7 +11621,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="894" name="/nncf_module/vit/encoder/layer.4/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="866" name="FakeQuantize_660" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11858,13 +11634,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1280">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="895" name="Constant_3362" type="Const" version="opset1">
+		<layer id="867" name="Constant_3336" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -11872,7 +11648,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="896" name="/nncf_module/vit/encoder/layer.4/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="868" name="Transpose_661" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -11883,13 +11659,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1281">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="897" name="/nncf_module/vit/encoder/layer.4/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="869" name="MatMul_662" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11903,14 +11679,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1282">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="898" name="/nncf_module/vit/encoder/layer.4/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="870" name="Add_663" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11923,14 +11699,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.103">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="899" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="871" name="Shape_664" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11940,24 +11716,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1284">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="900" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="872" name="Constant_665" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1285" />
 			</output>
 		</layer>
-		<layer id="901" name="Constant_3368" type="Const" version="opset1">
+		<layer id="873" name="Constant_3342" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="902" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="874" name="Gather_666" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11967,10 +11743,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1286" />
 			</output>
 		</layer>
-		<layer id="903" name="Constant_3374" type="Const" version="opset1">
+		<layer id="875" name="Constant_3348" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11978,7 +11754,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="904" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="876" name="Unsqueeze_670" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -11986,12 +11762,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1292">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="905" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="877" name="Shape_667" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12001,24 +11777,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1287">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="906" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="878" name="Constant_668" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1288" />
 			</output>
 		</layer>
-		<layer id="907" name="Constant_3372" type="Const" version="opset1">
+		<layer id="879" name="Constant_3346" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="908" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="880" name="Gather_669" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12028,10 +11804,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1289" />
 			</output>
 		</layer>
-		<layer id="909" name="Constant_3376" type="Const" version="opset1">
+		<layer id="881" name="Constant_3350" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12039,7 +11815,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="910" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="882" name="Unsqueeze_671" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12047,28 +11823,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="911" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="912" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1293">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="913" name="/nncf_module/vit/encoder/layer.4/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="883" name="Concat_672" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12085,12 +11845,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1296">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="914" name="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="884" name="Reshape_673" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12103,7 +11863,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1297">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -12111,7 +11871,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="915" name="Constant_3771" type="Const" version="opset1">
+		<layer id="885" name="Constant_3739" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -12119,7 +11879,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="916" name="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="886" name="Transpose_703" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12132,7 +11892,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1335">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -12140,7 +11900,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="917" name="/nncf_module/vit/encoder/layer.4/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="887" name="MatMul_704" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12157,7 +11917,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1336">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -12165,13 +11925,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="918" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="888" name="Constant_705" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1337" />
 			</output>
 		</layer>
-		<layer id="919" name="/nncf_module/vit/encoder/layer.4/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="889" name="Div_706" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12183,7 +11943,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.47">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -12191,7 +11951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="920" name="ShapeOf_3776" type="ShapeOf" version="opset1">
+		<layer id="890" name="ShapeOf_3744" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12206,7 +11966,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="921" name="Constant_3779" type="Const" version="opset1">
+		<layer id="891" name="Constant_3747" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12214,7 +11974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="922" name="Constant_3778" type="Const" version="opset1">
+		<layer id="892" name="Constant_3746" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12222,7 +11982,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="923" name="Constant_3780" type="Const" version="opset1">
+		<layer id="893" name="Constant_3748" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12230,7 +11990,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="924" name="StridedSlice_3781" type="StridedSlice" version="opset1">
+		<layer id="894" name="StridedSlice_3749" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -12252,13 +12012,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="925" name="Constant_3782" type="Const" version="opset1">
+		<layer id="895" name="Constant_3750" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="926" name="ReduceProd_3783" type="ReduceProd" version="opset1">
+		<layer id="896" name="ReduceProd_3751" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -12272,7 +12032,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="927" name="Constant_3784" type="Const" version="opset1">
+		<layer id="897" name="Constant_3752" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12280,7 +12040,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="928" name="Concat_3785" type="Concat" version="opset1">
+		<layer id="898" name="Concat_3753" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12296,7 +12056,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="929" name="Reshape_3786" type="Reshape" version="opset1">
+		<layer id="899" name="Reshape_3754" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12316,7 +12076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="930" name="Softmax_3849" type="SoftMax" version="opset8">
+		<layer id="900" name="Softmax_3817" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12331,7 +12091,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="931" name="ShapeOf_3850" type="ShapeOf" version="opset3">
+		<layer id="901" name="ShapeOf_3818" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12347,7 +12107,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="932" name="/nncf_module/vit/encoder/layer.4/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="902" name="Softmax_707" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12359,7 +12119,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1339">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -12367,7 +12127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="933" name="nncf_module.vit.encoder.layer.4.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="903" name="nncf_module.vit.encoder.layer.4.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="32919848" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.4.attention.attention.value.bias">
@@ -12375,7 +12135,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="934" name="/nncf_module/vit/encoder/layer.4/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="904" name="Constant_674" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="32922920" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -12384,7 +12144,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="935" name="Convert_35593" type="Convert" version="opset1">
+		<layer id="905" name="Convert_35515" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -12399,7 +12159,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="936" name="Constant_35530" type="Const" version="opset1">
+		<layer id="906" name="Constant_35452" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="33512744" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -12408,7 +12168,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="937" name="/nncf_module/vit/encoder/layer.4/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="907" name="FakeQuantize_677" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12421,13 +12181,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1301">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="938" name="Constant_3501" type="Const" version="opset1">
+		<layer id="908" name="Constant_3473" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -12435,7 +12195,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="939" name="/nncf_module/vit/encoder/layer.4/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="909" name="Transpose_678" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -12446,13 +12206,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1302">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="940" name="/nncf_module/vit/encoder/layer.4/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="910" name="MatMul_679" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12466,14 +12226,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1303">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="941" name="/nncf_module/vit/encoder/layer.4/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="911" name="Add_680" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12486,14 +12246,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.107">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="942" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="912" name="Shape_681" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12503,24 +12263,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1305">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="943" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="913" name="Constant_682" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1306" />
 			</output>
 		</layer>
-		<layer id="944" name="Constant_3507" type="Const" version="opset1">
+		<layer id="914" name="Constant_3479" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="945" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="915" name="Gather_683" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12530,10 +12290,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1307" />
 			</output>
 		</layer>
-		<layer id="946" name="Constant_3513" type="Const" version="opset1">
+		<layer id="916" name="Constant_3485" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12541,7 +12301,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="947" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="917" name="Unsqueeze_687" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12549,12 +12309,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1313">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="948" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="918" name="Shape_684" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12564,24 +12324,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1308">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="949" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="919" name="Constant_685" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1309" />
 			</output>
 		</layer>
-		<layer id="950" name="Constant_3511" type="Const" version="opset1">
+		<layer id="920" name="Constant_3483" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="951" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="921" name="Gather_686" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12591,10 +12351,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1310" />
 			</output>
 		</layer>
-		<layer id="952" name="Constant_3515" type="Const" version="opset1">
+		<layer id="922" name="Constant_3487" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12602,7 +12362,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="953" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="923" name="Unsqueeze_688" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12610,28 +12370,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="954" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="955" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_7_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1314">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="956" name="/nncf_module/vit/encoder/layer.4/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="924" name="Concat_689" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12648,12 +12392,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1317">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="957" name="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="925" name="Reshape_690" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12666,7 +12410,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1318">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -12674,7 +12418,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="958" name="Constant_3636" type="Const" version="opset1">
+		<layer id="926" name="Constant_3606" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -12682,7 +12426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="959" name="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="927" name="Transpose_691" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12695,7 +12439,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1319">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -12703,7 +12447,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="960" name="/nncf_module/vit/encoder/layer.4/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="928" name="MatMul_708" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12720,7 +12464,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.111">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -12728,23 +12472,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="961" name="/nncf_module/vit/encoder/layer.4/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="929" name="Constant_709" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="33515816" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1341">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="962" name="/nncf_module/vit/encoder/layer.4/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="930" name="Constant_710" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="33515820" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1342">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="963" name="/nncf_module/vit/encoder/layer.4/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="931" name="FakeQuantize_711" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12767,7 +12511,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_1343">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -12775,7 +12519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="964" name="Constant_3866" type="Const" version="opset1">
+		<layer id="932" name="Constant_3834" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -12783,7 +12527,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="965" name="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="933" name="Transpose_712" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12796,7 +12540,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_1344">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -12804,7 +12548,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="966" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="934" name="Shape_713" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12815,24 +12559,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1345">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="967" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="935" name="Constant_714" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1346" />
 			</output>
 		</layer>
-		<layer id="968" name="Constant_3870" type="Const" version="opset1">
+		<layer id="936" name="Constant_3838" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="969" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="937" name="Gather_715" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12842,10 +12586,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1347" />
 			</output>
 		</layer>
-		<layer id="970" name="Constant_3876" type="Const" version="opset1">
+		<layer id="938" name="Constant_3844" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12853,7 +12597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="971" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="939" name="Unsqueeze_719" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12861,12 +12605,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1352">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="972" name="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="940" name="Shape_716" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12877,24 +12621,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1348">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="973" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="941" name="Constant_717" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1349" />
 			</output>
 		</layer>
-		<layer id="974" name="Constant_3874" type="Const" version="opset1">
+		<layer id="942" name="Constant_3842" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="975" name="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="943" name="Gather_718" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12904,10 +12648,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1350" />
 			</output>
 		</layer>
-		<layer id="976" name="Constant_3878" type="Const" version="opset1">
+		<layer id="944" name="Constant_3846" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12915,7 +12659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="977" name="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="945" name="Unsqueeze_720" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12923,20 +12667,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="978" name="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1353">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="979" name="/nncf_module/vit/encoder/layer.4/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="946" name="Concat_721" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12950,12 +12686,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.4/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_1355">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="980" name="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="947" name="Reshape_722" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12969,14 +12705,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1356">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="981" name="/nncf_module/vit/encoder/layer.4/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="948" name="Constant_723" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="33515824" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -12985,7 +12721,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="982" name="Convert_35714" type="Convert" version="opset1">
+		<layer id="949" name="Convert_35636" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -13000,7 +12736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="983" name="Constant_35651" type="Const" version="opset1">
+		<layer id="950" name="Constant_35573" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="34105648" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -13009,7 +12745,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="984" name="/nncf_module/vit/encoder/layer.4/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="951" name="FakeQuantize_726" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13022,13 +12758,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1360">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="985" name="Constant_3996" type="Const" version="opset1">
+		<layer id="952" name="Constant_3963" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -13036,7 +12772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="986" name="/nncf_module/vit/encoder/layer.4/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="953" name="Transpose_727" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -13047,13 +12783,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1361">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="987" name="/nncf_module/vit/encoder/layer.4/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="954" name="MatMul_728" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13067,14 +12803,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1362">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="988" name="/nncf_module/vit/encoder/layer.4/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="955" name="Add_729" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13087,14 +12823,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1363">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="989" name="/nncf_module/vit/encoder/layer.4/Add" type="Add" version="opset1">
+		<layer id="956" name="Add_730" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13109,14 +12845,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/Add_output_0">
+				<port id="2" precision="FP32" names="input.51">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="990" name="Constant_4001" type="Const" version="opset1">
+		<layer id="957" name="Constant_3968" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13124,7 +12860,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="991" name="/nncf_module/vit/encoder/layer.4/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="958" name="ReduceMean_731" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13137,14 +12873,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1365">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="992" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="959" name="Sub_732" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13159,20 +12895,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1366">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="993" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="960" name="Constant_733" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1367" />
 			</output>
 		</layer>
-		<layer id="994" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="961" name="Pow_734" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13183,14 +12919,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1368">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="995" name="Constant_4006" type="Const" version="opset1">
+		<layer id="962" name="Constant_3973" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13198,7 +12934,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="996" name="/nncf_module/vit/encoder/layer.4/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="963" name="ReduceMean_735" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13211,20 +12947,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1369">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="997" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="964" name="Constant_736" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1370" />
 			</output>
 		</layer>
-		<layer id="998" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="965" name="Add_737" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13235,14 +12971,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1371">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="999" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="966" name="Sqrt_738" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13251,14 +12987,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1372">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1000" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="967" name="Div_739" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13273,14 +13009,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1373">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1001" name="nncf_module.vit.encoder.layer.4.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="968" name="nncf_module.vit.encoder.layer.4.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="34108720" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.4.layernorm_after.weight">
@@ -13288,7 +13024,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1002" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="969" name="Mul_740" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13301,14 +13037,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1374">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1003" name="nncf_module.vit.encoder.layer.4.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="970" name="nncf_module.vit.encoder.layer.4.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="34111792" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.4.layernorm_after.bias">
@@ -13316,7 +13052,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1004" name="/nncf_module/vit/encoder/layer.4/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="971" name="Add_741" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13329,30 +13065,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.115">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1005" name="/nncf_module/vit/encoder/layer.4/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="972" name="Constant_742" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="34114864" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1376">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1006" name="/nncf_module/vit/encoder/layer.4/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="973" name="Constant_743" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="34114868" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1377">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1007" name="/nncf_module/vit/encoder/layer.4/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="974" name="FakeQuantize_744" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13374,14 +13110,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.4/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[4]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1378">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1008" name="/nncf_module/vit/encoder/layer.4/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="975" name="Constant_745" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="34114872" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -13390,7 +13126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1009" name="Convert_35835" type="Convert" version="opset1">
+		<layer id="976" name="Convert_35757" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -13405,7 +13141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1010" name="Constant_35772" type="Const" version="opset1">
+		<layer id="977" name="Constant_35694" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="36474168" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -13414,7 +13150,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1011" name="/nncf_module/vit/encoder/layer.4/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="978" name="FakeQuantize_748" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13427,13 +13163,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1382">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1012" name="Constant_4021" type="Const" version="opset1">
+		<layer id="979" name="Constant_3988" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -13441,7 +13177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1013" name="/nncf_module/vit/encoder/layer.4/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="980" name="Transpose_749" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -13452,13 +13188,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1383">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1014" name="/nncf_module/vit/encoder/layer.4/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="981" name="MatMul_750" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13472,14 +13208,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1384">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1015" name="/nncf_module/vit/encoder/layer.4/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="982" name="Add_751" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13492,20 +13228,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1385">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1016" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="983" name="Constant_752" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1386" />
 			</output>
 		</layer>
-		<layer id="1017" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="984" name="Div_753" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13516,14 +13252,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_1387">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1018" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="985" name="Erf_754" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13532,20 +13268,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_1388">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1019" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="986" name="Constant_755" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1389" />
 			</output>
 		</layer>
-		<layer id="1020" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="987" name="Add_756" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13556,14 +13292,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1390">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1021" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="988" name="Mul_757" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13578,20 +13314,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1391">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1022" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="989" name="Constant_758" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_1392" />
 			</output>
 		</layer>
-		<layer id="1023" name="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="990" name="Mul_759" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13602,14 +13338,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1393">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1024" name="/nncf_module/vit/encoder/layer.4/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="991" name="Constant_760" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="36486456" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -13618,7 +13354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1025" name="Convert_35956" type="Convert" version="opset1">
+		<layer id="992" name="Convert_35878" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -13633,7 +13369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1026" name="Constant_35893" type="Const" version="opset1">
+		<layer id="993" name="Constant_35815" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="38845752" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -13642,7 +13378,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1027" name="/nncf_module/vit/encoder/layer.4/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="994" name="FakeQuantize_763" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13655,13 +13391,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1397">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1028" name="Constant_4037" type="Const" version="opset1">
+		<layer id="995" name="Constant_4004" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -13669,7 +13405,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1029" name="/nncf_module/vit/encoder/layer.4/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="996" name="Transpose_764" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -13680,13 +13416,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1398">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1030" name="/nncf_module/vit/encoder/layer.4/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="997" name="MatMul_765" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13700,14 +13436,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1399">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1031" name="/nncf_module/vit/encoder/layer.4/output/dense/Add" type="Add" version="opset1">
+		<layer id="998" name="Add_766" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13720,14 +13456,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1400">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1032" name="/nncf_module/vit/encoder/layer.4/output/Add" type="Add" version="opset1">
+		<layer id="999" name="Add_767" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13742,14 +13478,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.4/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.55">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1033" name="Constant_4042" type="Const" version="opset1">
+		<layer id="1000" name="Constant_4009" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13757,7 +13493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1034" name="/nncf_module/vit/encoder/layer.5/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1001" name="ReduceMean_768" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13770,14 +13506,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1402">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1035" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="1002" name="Sub_769" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13792,20 +13528,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1403">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1036" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="1003" name="Constant_770" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1404" />
 			</output>
 		</layer>
-		<layer id="1037" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="1004" name="Pow_771" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13816,14 +13552,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1405">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1038" name="Constant_4047" type="Const" version="opset1">
+		<layer id="1005" name="Constant_4014" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13831,7 +13567,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1039" name="/nncf_module/vit/encoder/layer.5/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1006" name="ReduceMean_772" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13844,20 +13580,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1406">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1040" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="1007" name="Constant_773" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1407" />
 			</output>
 		</layer>
-		<layer id="1041" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="1008" name="Add_774" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13868,14 +13604,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1408">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1042" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1009" name="Sqrt_775" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13884,14 +13620,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1409">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1043" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="1010" name="Div_776" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13906,14 +13642,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1410">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1044" name="nncf_module.vit.encoder.layer.5.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="1011" name="nncf_module.vit.encoder.layer.5.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="38848824" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.5.layernorm_before.weight">
@@ -13921,7 +13657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1045" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="1012" name="Mul_777" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13934,14 +13670,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1411">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1046" name="nncf_module.vit.encoder.layer.5.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="1013" name="nncf_module.vit.encoder.layer.5.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="38851896" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.5.layernorm_before.bias">
@@ -13949,7 +13685,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1047" name="/nncf_module/vit/encoder/layer.5/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="1014" name="Add_778" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13962,30 +13698,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.119">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1048" name="/nncf_module/vit/encoder/layer.5/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1015" name="Constant_779" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="38854968" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1413">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1049" name="/nncf_module/vit/encoder/layer.5/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1016" name="Constant_780" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="38854972" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1414">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1050" name="/nncf_module/vit/encoder/layer.5/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1017" name="FakeQuantize_781" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14007,14 +13743,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1415">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1051" name="/nncf_module/vit/encoder/layer.5/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1018" name="Constant_782" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="38854976" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -14023,7 +13759,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1052" name="Convert_36077" type="Convert" version="opset1">
+		<layer id="1019" name="Convert_35999" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -14038,7 +13774,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1053" name="Constant_36014" type="Const" version="opset1">
+		<layer id="1020" name="Constant_35936" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="39444800" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -14047,7 +13783,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1054" name="/nncf_module/vit/encoder/layer.5/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1021" name="FakeQuantize_785" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14060,13 +13796,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1419">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1055" name="Constant_4062" type="Const" version="opset1">
+		<layer id="1022" name="Constant_4029" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -14074,7 +13810,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1056" name="/nncf_module/vit/encoder/layer.5/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="1023" name="Transpose_786" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -14085,13 +13821,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1420">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1057" name="/nncf_module/vit/encoder/layer.5/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1024" name="MatMul_787" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14105,14 +13841,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1421">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1058" name="/nncf_module/vit/encoder/layer.5/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="1025" name="Add_788" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14125,14 +13861,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.123">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1059" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1026" name="Shape_824" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14142,24 +13878,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1466">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1060" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="1027" name="Constant_825" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1467" />
 			</output>
 		</layer>
-		<layer id="1061" name="Constant_4348" type="Const" version="opset1">
+		<layer id="1028" name="Constant_4311" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1062" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="1029" name="Gather_826" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14169,10 +13905,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1468" />
 			</output>
 		</layer>
-		<layer id="1063" name="Constant_4354" type="Const" version="opset1">
+		<layer id="1030" name="Constant_4317" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14180,7 +13916,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1064" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1031" name="Unsqueeze_830" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14188,12 +13924,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1474">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1065" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1032" name="Shape_827" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14203,24 +13939,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1469">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1066" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="1033" name="Constant_828" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1470" />
 			</output>
 		</layer>
-		<layer id="1067" name="Constant_4352" type="Const" version="opset1">
+		<layer id="1034" name="Constant_4315" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1068" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="1035" name="Gather_829" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14230,10 +13966,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1471" />
 			</output>
 		</layer>
-		<layer id="1069" name="Constant_4356" type="Const" version="opset1">
+		<layer id="1036" name="Constant_4319" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14241,7 +13977,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1070" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1037" name="Unsqueeze_831" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14249,28 +13985,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1071" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_10_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1475">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1072" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1073" name="/nncf_module/vit/encoder/layer.5/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="1038" name="Concat_832" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14287,12 +14007,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1478">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1074" name="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1039" name="Reshape_833" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14305,7 +14025,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1479">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -14313,7 +14033,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1075" name="Constant_4477" type="Const" version="opset1">
+		<layer id="1040" name="Constant_4438" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -14321,7 +14041,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1076" name="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1041" name="Transpose_834" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14334,7 +14054,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1480">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -14342,7 +14062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1077" name="nncf_module.vit.encoder.layer.5.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="1042" name="nncf_module.vit.encoder.layer.5.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="39447872" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.5.attention.attention.key.bias">
@@ -14350,7 +14070,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1078" name="/nncf_module/vit/encoder/layer.5/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1043" name="Constant_789" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="39450944" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -14359,7 +14079,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1079" name="Convert_36198" type="Convert" version="opset1">
+		<layer id="1044" name="Convert_36120" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -14374,7 +14094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1080" name="Constant_36135" type="Const" version="opset1">
+		<layer id="1045" name="Constant_36057" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="40040768" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -14383,7 +14103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1081" name="/nncf_module/vit/encoder/layer.5/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1046" name="FakeQuantize_792" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14396,13 +14116,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1426">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1082" name="Constant_4070" type="Const" version="opset1">
+		<layer id="1047" name="Constant_4037" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -14410,7 +14130,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1083" name="/nncf_module/vit/encoder/layer.5/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="1048" name="Transpose_793" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -14421,13 +14141,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1427">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1084" name="/nncf_module/vit/encoder/layer.5/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1049" name="MatMul_794" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14441,14 +14161,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1428">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1085" name="/nncf_module/vit/encoder/layer.5/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="1050" name="Add_795" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14461,14 +14181,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.127">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1086" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="1051" name="Shape_796" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14478,24 +14198,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1430">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1087" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="1052" name="Constant_797" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1431" />
 			</output>
 		</layer>
-		<layer id="1088" name="Constant_4076" type="Const" version="opset1">
+		<layer id="1053" name="Constant_4043" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1089" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="1054" name="Gather_798" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14505,10 +14225,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1432" />
 			</output>
 		</layer>
-		<layer id="1090" name="Constant_4082" type="Const" version="opset1">
+		<layer id="1055" name="Constant_4049" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14516,7 +14236,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1091" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1056" name="Unsqueeze_802" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14524,12 +14244,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1438">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1092" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1057" name="Shape_799" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14539,24 +14259,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1433">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1093" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="1058" name="Constant_800" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1434" />
 			</output>
 		</layer>
-		<layer id="1094" name="Constant_4080" type="Const" version="opset1">
+		<layer id="1059" name="Constant_4047" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1095" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="1060" name="Gather_801" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14566,10 +14286,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1435" />
 			</output>
 		</layer>
-		<layer id="1096" name="Constant_4084" type="Const" version="opset1">
+		<layer id="1061" name="Constant_4051" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14577,7 +14297,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1097" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1062" name="Unsqueeze_803" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14585,28 +14305,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1098" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1099" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1439">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1100" name="/nncf_module/vit/encoder/layer.5/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="1063" name="Concat_804" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14623,12 +14327,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1442">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1101" name="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="1064" name="Reshape_805" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14641,7 +14345,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1443">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -14649,7 +14353,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1102" name="Constant_4479" type="Const" version="opset1">
+		<layer id="1065" name="Constant_4440" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -14657,7 +14361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1103" name="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1066" name="Transpose_835" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14670,7 +14374,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1481">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -14678,7 +14382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1104" name="/nncf_module/vit/encoder/layer.5/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="1067" name="MatMul_836" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14695,7 +14399,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1482">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -14703,13 +14407,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1105" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="1068" name="Constant_837" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1483" />
 			</output>
 		</layer>
-		<layer id="1106" name="/nncf_module/vit/encoder/layer.5/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="1069" name="Div_838" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14721,7 +14425,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.59">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -14729,7 +14433,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1107" name="ShapeOf_4484" type="ShapeOf" version="opset1">
+		<layer id="1070" name="ShapeOf_4445" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14744,7 +14448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1108" name="Constant_4487" type="Const" version="opset1">
+		<layer id="1071" name="Constant_4448" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14752,7 +14456,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1109" name="Constant_4486" type="Const" version="opset1">
+		<layer id="1072" name="Constant_4447" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14760,7 +14464,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1110" name="Constant_4488" type="Const" version="opset1">
+		<layer id="1073" name="Constant_4449" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14768,7 +14472,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1111" name="StridedSlice_4489" type="StridedSlice" version="opset1">
+		<layer id="1074" name="StridedSlice_4450" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -14790,13 +14494,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1112" name="Constant_4490" type="Const" version="opset1">
+		<layer id="1075" name="Constant_4451" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1113" name="ReduceProd_4491" type="ReduceProd" version="opset1">
+		<layer id="1076" name="ReduceProd_4452" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -14810,7 +14514,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1114" name="Constant_4492" type="Const" version="opset1">
+		<layer id="1077" name="Constant_4453" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14818,7 +14522,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1115" name="Concat_4493" type="Concat" version="opset1">
+		<layer id="1078" name="Concat_4454" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14834,7 +14538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1116" name="Reshape_4494" type="Reshape" version="opset1">
+		<layer id="1079" name="Reshape_4455" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14854,7 +14558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1117" name="Softmax_4557" type="SoftMax" version="opset8">
+		<layer id="1080" name="Softmax_4518" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14869,7 +14573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1118" name="ShapeOf_4558" type="ShapeOf" version="opset3">
+		<layer id="1081" name="ShapeOf_4519" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14885,7 +14589,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1119" name="/nncf_module/vit/encoder/layer.5/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="1082" name="Softmax_839" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14897,7 +14601,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1485">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -14905,7 +14609,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1120" name="nncf_module.vit.encoder.layer.5.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="1083" name="nncf_module.vit.encoder.layer.5.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="40043840" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.5.attention.attention.value.bias">
@@ -14913,7 +14617,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1121" name="/nncf_module/vit/encoder/layer.5/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1084" name="Constant_8060" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="40046912" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -14922,7 +14626,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1122" name="Convert_36319" type="Convert" version="opset1">
+		<layer id="1085" name="Convert_36241" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -14937,7 +14641,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1123" name="Constant_36256" type="Const" version="opset1">
+		<layer id="1086" name="Constant_36178" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="40636736" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -14946,7 +14650,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1124" name="/nncf_module/vit/encoder/layer.5/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1087" name="FakeQuantize_809" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14959,13 +14663,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1447">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1125" name="Constant_4209" type="Const" version="opset1">
+		<layer id="1088" name="Constant_4174" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -14973,7 +14677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1126" name="/nncf_module/vit/encoder/layer.5/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="1089" name="Transpose_810" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -14984,13 +14688,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1448">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1127" name="/nncf_module/vit/encoder/layer.5/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1090" name="MatMul_811" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15004,14 +14708,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1449">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1128" name="/nncf_module/vit/encoder/layer.5/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="1091" name="Add_812" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15024,14 +14728,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.131">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1129" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1092" name="Shape_813" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15041,24 +14745,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1451">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1130" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="1093" name="Constant_8140" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1452" />
 			</output>
 		</layer>
-		<layer id="1131" name="Constant_4215" type="Const" version="opset1">
+		<layer id="1094" name="Constant_4180" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1132" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="1095" name="Gather_815" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15068,10 +14772,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1453" />
 			</output>
 		</layer>
-		<layer id="1133" name="Constant_4221" type="Const" version="opset1">
+		<layer id="1096" name="Constant_4186" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15079,7 +14783,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1134" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1097" name="Unsqueeze_819" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15087,12 +14791,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1459">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1135" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1098" name="Shape_816" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15102,24 +14806,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1454">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1136" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="1099" name="Constant_817" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1455" />
 			</output>
 		</layer>
-		<layer id="1137" name="Constant_4219" type="Const" version="opset1">
+		<layer id="1100" name="Constant_4184" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1138" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="1101" name="Gather_818" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15129,10 +14833,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1456" />
 			</output>
 		</layer>
-		<layer id="1139" name="Constant_4223" type="Const" version="opset1">
+		<layer id="1102" name="Constant_4188" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15140,7 +14844,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1140" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1103" name="Unsqueeze_820" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15148,28 +14852,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1460">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1141" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1142" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1143" name="/nncf_module/vit/encoder/layer.5/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="1104" name="Concat_821" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15186,12 +14874,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1463">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1144" name="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1105" name="Reshape_822" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15204,7 +14892,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1464">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -15212,7 +14900,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1145" name="Constant_4344" type="Const" version="opset1">
+		<layer id="1106" name="Constant_4307" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -15220,7 +14908,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1146" name="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="1107" name="Transpose_823" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15233,7 +14921,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1465">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -15241,7 +14929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1147" name="/nncf_module/vit/encoder/layer.5/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1108" name="MatMul_840" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15258,7 +14946,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.135">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -15266,23 +14954,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1148" name="/nncf_module/vit/encoder/layer.5/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1109" name="Constant_841" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="40639808" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1487">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1149" name="/nncf_module/vit/encoder/layer.5/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1110" name="Constant_842" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="40639812" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1488">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1150" name="/nncf_module/vit/encoder/layer.5/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1111" name="FakeQuantize_843" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15305,7 +14993,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_1489">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -15313,7 +15001,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1151" name="Constant_4574" type="Const" version="opset1">
+		<layer id="1112" name="Constant_4535" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -15321,7 +15009,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1152" name="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1113" name="Transpose_844" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15334,7 +15022,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_1490">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -15342,7 +15030,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1153" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1114" name="Shape_845" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15353,24 +15041,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1491">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1154" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="1115" name="Constant_846" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1492" />
 			</output>
 		</layer>
-		<layer id="1155" name="Constant_4578" type="Const" version="opset1">
+		<layer id="1116" name="Constant_4539" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1156" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="1117" name="Gather_847" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15380,10 +15068,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1493" />
 			</output>
 		</layer>
-		<layer id="1157" name="Constant_4584" type="Const" version="opset1">
+		<layer id="1118" name="Constant_4545" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15391,7 +15079,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1158" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1119" name="Unsqueeze_851" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15399,12 +15087,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1498">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1159" name="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1120" name="Shape_848" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15415,24 +15103,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1494">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1160" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="1121" name="Constant_849" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1495" />
 			</output>
 		</layer>
-		<layer id="1161" name="Constant_4582" type="Const" version="opset1">
+		<layer id="1122" name="Constant_4543" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1162" name="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="1123" name="Gather_850" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15442,10 +15130,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1496" />
 			</output>
 		</layer>
-		<layer id="1163" name="Constant_4586" type="Const" version="opset1">
+		<layer id="1124" name="Constant_4547" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15453,7 +15141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1164" name="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1125" name="Unsqueeze_852" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15461,20 +15149,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1165" name="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1499">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1166" name="/nncf_module/vit/encoder/layer.5/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="1126" name="Concat_853" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15488,12 +15168,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.5/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_1501">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1167" name="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1127" name="Reshape_854" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15507,14 +15187,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1502">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1168" name="/nncf_module/vit/encoder/layer.5/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1128" name="Constant_855" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="40639816" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -15523,7 +15203,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1169" name="Convert_36440" type="Convert" version="opset1">
+		<layer id="1129" name="Convert_36362" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -15538,7 +15218,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1170" name="Constant_36377" type="Const" version="opset1">
+		<layer id="1130" name="Constant_36299" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="41229640" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -15547,7 +15227,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1171" name="/nncf_module/vit/encoder/layer.5/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1131" name="FakeQuantize_858" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15560,13 +15240,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1506">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1172" name="Constant_4704" type="Const" version="opset1">
+		<layer id="1132" name="Constant_4664" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -15574,7 +15254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1173" name="/nncf_module/vit/encoder/layer.5/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1133" name="Transpose_859" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -15585,13 +15265,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1507">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1174" name="/nncf_module/vit/encoder/layer.5/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1134" name="MatMul_860" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15605,14 +15285,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1508">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1175" name="/nncf_module/vit/encoder/layer.5/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1135" name="Add_861" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15625,14 +15305,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1509">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1176" name="/nncf_module/vit/encoder/layer.5/Add" type="Add" version="opset1">
+		<layer id="1136" name="Add_862" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15647,14 +15327,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/Add_output_0">
+				<port id="2" precision="FP32" names="input.63">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1177" name="Constant_4709" type="Const" version="opset1">
+		<layer id="1137" name="Constant_4669" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15662,7 +15342,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1178" name="/nncf_module/vit/encoder/layer.5/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1138" name="ReduceMean_863" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15675,14 +15355,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1511">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1179" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="1139" name="Sub_864" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15697,20 +15377,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1512">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1180" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="1140" name="Constant_865" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1513" />
 			</output>
 		</layer>
-		<layer id="1181" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="1141" name="Pow_866" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15721,14 +15401,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1514">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1182" name="Constant_4714" type="Const" version="opset1">
+		<layer id="1142" name="Constant_4674" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15736,7 +15416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1183" name="/nncf_module/vit/encoder/layer.5/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1143" name="ReduceMean_867" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15749,20 +15429,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1515">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1184" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="1144" name="Constant_868" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1516" />
 			</output>
 		</layer>
-		<layer id="1185" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="1145" name="Add_869" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15773,14 +15453,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1517">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1186" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1146" name="Sqrt_870" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15789,14 +15469,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1518">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1187" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="1147" name="Div_871" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15811,14 +15491,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1519">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1188" name="nncf_module.vit.encoder.layer.5.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="1148" name="nncf_module.vit.encoder.layer.5.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="41232712" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.5.layernorm_after.weight">
@@ -15826,7 +15506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1189" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="1149" name="Mul_872" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15839,14 +15519,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1520">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1190" name="nncf_module.vit.encoder.layer.5.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="1150" name="nncf_module.vit.encoder.layer.5.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="41235784" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.5.layernorm_after.bias">
@@ -15854,7 +15534,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1191" name="/nncf_module/vit/encoder/layer.5/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="1151" name="Add_873" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15867,30 +15547,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.139">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1192" name="/nncf_module/vit/encoder/layer.5/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1152" name="Constant_874" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="41238856" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1522">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1193" name="/nncf_module/vit/encoder/layer.5/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1153" name="Constant_875" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="41238860" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1523">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1194" name="/nncf_module/vit/encoder/layer.5/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1154" name="FakeQuantize_876" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15912,14 +15592,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.5/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[5]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1524">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1195" name="/nncf_module/vit/encoder/layer.5/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1155" name="Constant_877" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="41238864" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -15928,7 +15608,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1196" name="Convert_36561" type="Convert" version="opset1">
+		<layer id="1156" name="Convert_36483" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -15943,7 +15623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1197" name="Constant_36498" type="Const" version="opset1">
+		<layer id="1157" name="Constant_36420" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="43598160" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -15952,7 +15632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1198" name="/nncf_module/vit/encoder/layer.5/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1158" name="FakeQuantize_880" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15965,13 +15645,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1528">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1199" name="Constant_4729" type="Const" version="opset1">
+		<layer id="1159" name="Constant_4689" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -15979,7 +15659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1200" name="/nncf_module/vit/encoder/layer.5/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1160" name="Transpose_881" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -15990,13 +15670,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1529">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1201" name="/nncf_module/vit/encoder/layer.5/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1161" name="MatMul_882" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16010,14 +15690,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1530">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1202" name="/nncf_module/vit/encoder/layer.5/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1162" name="Add_883" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16030,20 +15710,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1531">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1203" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="1163" name="Constant_884" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1532" />
 			</output>
 		</layer>
-		<layer id="1204" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1164" name="Div_885" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16054,14 +15734,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_1533">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1205" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1165" name="Erf_886" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16070,20 +15750,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_1534">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1206" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="1166" name="Constant_887" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1535" />
 			</output>
 		</layer>
-		<layer id="1207" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1167" name="Add_888" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16094,14 +15774,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1536">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1208" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1168" name="Mul_889" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16116,20 +15796,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1537">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1209" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="1169" name="Constant_890" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_1538" />
 			</output>
 		</layer>
-		<layer id="1210" name="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1170" name="Mul_891" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16140,14 +15820,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1539">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1211" name="/nncf_module/vit/encoder/layer.5/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1171" name="Constant_892" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="43610448" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -16156,7 +15836,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1212" name="Convert_36682" type="Convert" version="opset1">
+		<layer id="1172" name="Convert_36604" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -16171,7 +15851,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1213" name="Constant_36619" type="Const" version="opset1">
+		<layer id="1173" name="Constant_36541" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="45969744" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -16180,7 +15860,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1214" name="/nncf_module/vit/encoder/layer.5/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1174" name="FakeQuantize_895" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16193,13 +15873,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1543">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1215" name="Constant_4745" type="Const" version="opset1">
+		<layer id="1175" name="Constant_4705" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -16207,7 +15887,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1216" name="/nncf_module/vit/encoder/layer.5/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1176" name="Transpose_896" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -16218,13 +15898,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1544">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1217" name="/nncf_module/vit/encoder/layer.5/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1177" name="MatMul_897" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16238,14 +15918,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1545">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1218" name="/nncf_module/vit/encoder/layer.5/output/dense/Add" type="Add" version="opset1">
+		<layer id="1178" name="Add_898" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16258,14 +15938,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1546">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1219" name="/nncf_module/vit/encoder/layer.5/output/Add" type="Add" version="opset1">
+		<layer id="1179" name="Add_899" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16280,14 +15960,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.5/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.67">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1220" name="Constant_4750" type="Const" version="opset1">
+		<layer id="1180" name="Constant_4710" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16295,7 +15975,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1221" name="/nncf_module/vit/encoder/layer.6/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1181" name="ReduceMean_900" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16308,14 +15988,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1548">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1222" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="1182" name="Sub_901" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16330,20 +16010,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1549">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1223" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="1183" name="Constant_902" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1550" />
 			</output>
 		</layer>
-		<layer id="1224" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="1184" name="Pow_903" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16354,14 +16034,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1551">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1225" name="Constant_4755" type="Const" version="opset1">
+		<layer id="1185" name="Constant_4715" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16369,7 +16049,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1226" name="/nncf_module/vit/encoder/layer.6/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1186" name="ReduceMean_904" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16382,20 +16062,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1552">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1227" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="1187" name="Constant_905" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1553" />
 			</output>
 		</layer>
-		<layer id="1228" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="1188" name="Add_906" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16406,14 +16086,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1554">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1229" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1189" name="Sqrt_907" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16422,14 +16102,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1555">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1230" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="1190" name="Div_908" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16444,14 +16124,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1556">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1231" name="nncf_module.vit.encoder.layer.6.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="1191" name="nncf_module.vit.encoder.layer.6.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="45972816" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.6.layernorm_before.weight">
@@ -16459,7 +16139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1232" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="1192" name="Mul_909" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16472,14 +16152,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1557">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1233" name="nncf_module.vit.encoder.layer.6.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="1193" name="nncf_module.vit.encoder.layer.6.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="45975888" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.6.layernorm_before.bias">
@@ -16487,7 +16167,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1234" name="/nncf_module/vit/encoder/layer.6/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="1194" name="Add_910" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16500,30 +16180,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.143">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1235" name="/nncf_module/vit/encoder/layer.6/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1195" name="Constant_911" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="45978960" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1559">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1236" name="/nncf_module/vit/encoder/layer.6/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1196" name="Constant_912" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="45978964" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1560">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1237" name="/nncf_module/vit/encoder/layer.6/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1197" name="FakeQuantize_913" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16545,14 +16225,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1561">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1238" name="/nncf_module/vit/encoder/layer.6/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1198" name="Constant_914" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="45978968" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -16561,7 +16241,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1239" name="Convert_36803" type="Convert" version="opset1">
+		<layer id="1199" name="Convert_36725" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -16576,7 +16256,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1240" name="Constant_36740" type="Const" version="opset1">
+		<layer id="1200" name="Constant_36662" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="46568792" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -16585,7 +16265,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1241" name="/nncf_module/vit/encoder/layer.6/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1201" name="FakeQuantize_917" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16598,13 +16278,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1565">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1242" name="Constant_4770" type="Const" version="opset1">
+		<layer id="1202" name="Constant_4730" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -16612,7 +16292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1243" name="/nncf_module/vit/encoder/layer.6/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="1203" name="Transpose_918" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -16623,13 +16303,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1566">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1244" name="/nncf_module/vit/encoder/layer.6/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1204" name="MatMul_919" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16643,14 +16323,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1567">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1245" name="/nncf_module/vit/encoder/layer.6/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="1205" name="Add_920" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16663,14 +16343,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.147">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1246" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1206" name="Shape_956" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16680,24 +16360,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1612">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1247" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="1207" name="Constant_957" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1613" />
 			</output>
 		</layer>
-		<layer id="1248" name="Constant_5056" type="Const" version="opset1">
+		<layer id="1208" name="Constant_5012" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1249" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="1209" name="Gather_958" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16707,10 +16387,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1614" />
 			</output>
 		</layer>
-		<layer id="1250" name="Constant_5062" type="Const" version="opset1">
+		<layer id="1210" name="Constant_5018" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16718,7 +16398,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1251" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1211" name="Unsqueeze_962" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -16726,12 +16406,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1620">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1252" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1212" name="Shape_959" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16741,24 +16421,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1615">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1253" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="1213" name="Constant_960" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1616" />
 			</output>
 		</layer>
-		<layer id="1254" name="Constant_5060" type="Const" version="opset1">
+		<layer id="1214" name="Constant_5016" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1255" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="1215" name="Gather_961" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16768,10 +16448,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1617" />
 			</output>
 		</layer>
-		<layer id="1256" name="Constant_5064" type="Const" version="opset1">
+		<layer id="1216" name="Constant_5020" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16779,7 +16459,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1257" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1217" name="Unsqueeze_963" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -16787,28 +16467,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_5_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1621">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1258" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_10_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1259" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1260" name="/nncf_module/vit/encoder/layer.6/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="1218" name="Concat_964" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16825,12 +16489,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1624">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1261" name="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1219" name="Reshape_965" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16843,7 +16507,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1625">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -16851,7 +16515,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1262" name="Constant_5185" type="Const" version="opset1">
+		<layer id="1220" name="Constant_5139" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -16859,7 +16523,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1263" name="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1221" name="Transpose_966" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16872,7 +16536,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1626">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -16880,7 +16544,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1264" name="nncf_module.vit.encoder.layer.6.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="1222" name="nncf_module.vit.encoder.layer.6.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="46571864" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.6.attention.attention.key.bias">
@@ -16888,7 +16552,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1265" name="/nncf_module/vit/encoder/layer.6/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1223" name="Constant_921" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="46574936" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -16897,7 +16561,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1266" name="Convert_36924" type="Convert" version="opset1">
+		<layer id="1224" name="Convert_36846" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -16912,7 +16576,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1267" name="Constant_36861" type="Const" version="opset1">
+		<layer id="1225" name="Constant_36783" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="47164760" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -16921,7 +16585,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1268" name="/nncf_module/vit/encoder/layer.6/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1226" name="FakeQuantize_924" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16934,13 +16598,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1572">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1269" name="Constant_4778" type="Const" version="opset1">
+		<layer id="1227" name="Constant_4738" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -16948,7 +16612,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1270" name="/nncf_module/vit/encoder/layer.6/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="1228" name="Transpose_925" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -16959,13 +16623,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1573">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1271" name="/nncf_module/vit/encoder/layer.6/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1229" name="MatMul_926" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16979,14 +16643,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1574">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1272" name="/nncf_module/vit/encoder/layer.6/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="1230" name="Add_927" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16999,14 +16663,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.151">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1273" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="1231" name="Shape_928" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17016,24 +16680,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1576">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1274" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="1232" name="Constant_929" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1577" />
 			</output>
 		</layer>
-		<layer id="1275" name="Constant_4784" type="Const" version="opset1">
+		<layer id="1233" name="Constant_4744" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1276" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="1234" name="Gather_930" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17043,10 +16707,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1578" />
 			</output>
 		</layer>
-		<layer id="1277" name="Constant_4790" type="Const" version="opset1">
+		<layer id="1235" name="Constant_4750" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17054,7 +16718,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1278" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1236" name="Unsqueeze_934" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17062,12 +16726,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1584">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1279" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1237" name="Shape_931" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17077,24 +16741,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1579">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1280" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="1238" name="Constant_932" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1580" />
 			</output>
 		</layer>
-		<layer id="1281" name="Constant_4788" type="Const" version="opset1">
+		<layer id="1239" name="Constant_4748" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1282" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="1240" name="Gather_933" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17104,10 +16768,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1581" />
 			</output>
 		</layer>
-		<layer id="1283" name="Constant_4792" type="Const" version="opset1">
+		<layer id="1241" name="Constant_4752" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17115,7 +16779,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1284" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1242" name="Unsqueeze_935" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17123,28 +16787,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1285" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1286" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1585">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1287" name="/nncf_module/vit/encoder/layer.6/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="1243" name="Concat_936" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17161,12 +16809,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1588">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1288" name="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="1244" name="Reshape_937" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17179,7 +16827,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1589">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -17187,7 +16835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1289" name="Constant_5187" type="Const" version="opset1">
+		<layer id="1245" name="Constant_5141" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -17195,7 +16843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1290" name="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1246" name="Transpose_967" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17208,7 +16856,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1627">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -17216,7 +16864,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1291" name="/nncf_module/vit/encoder/layer.6/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="1247" name="MatMul_968" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17233,7 +16881,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1628">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -17241,13 +16889,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1292" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="1248" name="Constant_969" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1629" />
 			</output>
 		</layer>
-		<layer id="1293" name="/nncf_module/vit/encoder/layer.6/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="1249" name="Div_970" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17259,7 +16907,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.71">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -17267,7 +16915,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1294" name="ShapeOf_5192" type="ShapeOf" version="opset1">
+		<layer id="1250" name="ShapeOf_5146" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17282,7 +16930,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1295" name="Constant_5195" type="Const" version="opset1">
+		<layer id="1251" name="Constant_5149" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17290,7 +16938,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1296" name="Constant_5194" type="Const" version="opset1">
+		<layer id="1252" name="Constant_5148" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17298,7 +16946,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1297" name="Constant_5196" type="Const" version="opset1">
+		<layer id="1253" name="Constant_5150" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17306,7 +16954,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1298" name="StridedSlice_5197" type="StridedSlice" version="opset1">
+		<layer id="1254" name="StridedSlice_5151" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -17328,13 +16976,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1299" name="Constant_5198" type="Const" version="opset1">
+		<layer id="1255" name="Constant_5152" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1300" name="ReduceProd_5199" type="ReduceProd" version="opset1">
+		<layer id="1256" name="ReduceProd_5153" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -17348,7 +16996,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1301" name="Constant_5200" type="Const" version="opset1">
+		<layer id="1257" name="Constant_5154" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17356,7 +17004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1302" name="Concat_5201" type="Concat" version="opset1">
+		<layer id="1258" name="Concat_5155" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17372,7 +17020,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1303" name="Reshape_5202" type="Reshape" version="opset1">
+		<layer id="1259" name="Reshape_5156" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17392,7 +17040,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1304" name="Softmax_5265" type="SoftMax" version="opset8">
+		<layer id="1260" name="Softmax_5219" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17407,7 +17055,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1305" name="ShapeOf_5266" type="ShapeOf" version="opset3">
+		<layer id="1261" name="ShapeOf_5220" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17423,7 +17071,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1306" name="/nncf_module/vit/encoder/layer.6/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="1262" name="Softmax_971" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17435,7 +17083,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1631">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -17443,7 +17091,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1307" name="nncf_module.vit.encoder.layer.6.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="1263" name="nncf_module.vit.encoder.layer.6.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="47167832" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.6.attention.attention.value.bias">
@@ -17451,7 +17099,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1308" name="/nncf_module/vit/encoder/layer.6/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1264" name="Constant_938" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="47170904" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -17460,7 +17108,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1309" name="Convert_37045" type="Convert" version="opset1">
+		<layer id="1265" name="Convert_36967" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -17475,7 +17123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1310" name="Constant_36982" type="Const" version="opset1">
+		<layer id="1266" name="Constant_36904" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="47760728" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -17484,7 +17132,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1311" name="/nncf_module/vit/encoder/layer.6/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1267" name="FakeQuantize_941" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17497,13 +17145,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1593">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1312" name="Constant_4917" type="Const" version="opset1">
+		<layer id="1268" name="Constant_4875" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -17511,7 +17159,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1313" name="/nncf_module/vit/encoder/layer.6/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="1269" name="Transpose_942" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -17522,13 +17170,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1594">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1314" name="/nncf_module/vit/encoder/layer.6/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1270" name="MatMul_943" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17542,14 +17190,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1595">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1315" name="/nncf_module/vit/encoder/layer.6/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="1271" name="Add_944" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17562,14 +17210,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.155">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1316" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1272" name="Shape_945" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17579,24 +17227,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1597">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1317" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="1273" name="Constant_9460" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1598" />
 			</output>
 		</layer>
-		<layer id="1318" name="Constant_4923" type="Const" version="opset1">
+		<layer id="1274" name="Constant_4881" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1319" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="1275" name="Gather_947" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17606,10 +17254,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1599" />
 			</output>
 		</layer>
-		<layer id="1320" name="Constant_4929" type="Const" version="opset1">
+		<layer id="1276" name="Constant_4887" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17617,7 +17265,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1321" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1277" name="Unsqueeze_951" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17625,12 +17273,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1605">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1322" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1278" name="Shape_948" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17640,24 +17288,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1600">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1323" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="1279" name="Constant_949" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1601" />
 			</output>
 		</layer>
-		<layer id="1324" name="Constant_4927" type="Const" version="opset1">
+		<layer id="1280" name="Constant_4885" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1325" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="1281" name="Gather_950" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17667,10 +17315,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1602" />
 			</output>
 		</layer>
-		<layer id="1326" name="Constant_4931" type="Const" version="opset1">
+		<layer id="1282" name="Constant_4889" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17678,7 +17326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1327" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1283" name="Unsqueeze_952" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17686,28 +17334,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1606">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1328" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1329" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1330" name="/nncf_module/vit/encoder/layer.6/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="1284" name="Concat_953" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17724,12 +17356,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1609">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1331" name="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1285" name="Reshape_954" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17742,7 +17374,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1610">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -17750,7 +17382,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1332" name="Constant_5052" type="Const" version="opset1">
+		<layer id="1286" name="Constant_5008" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -17758,7 +17390,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1333" name="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="1287" name="Transpose_955" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17771,7 +17403,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1611">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -17779,7 +17411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1334" name="/nncf_module/vit/encoder/layer.6/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1288" name="MatMul_972" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17796,7 +17428,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.159">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -17804,23 +17436,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1335" name="/nncf_module/vit/encoder/layer.6/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1289" name="Constant_973" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="47763800" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1633">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1336" name="/nncf_module/vit/encoder/layer.6/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1290" name="Constant_974" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="47763804" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1634">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1337" name="/nncf_module/vit/encoder/layer.6/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1291" name="FakeQuantize_975" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17843,7 +17475,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_1635">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -17851,7 +17483,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1338" name="Constant_5282" type="Const" version="opset1">
+		<layer id="1292" name="Constant_5236" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -17859,7 +17491,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1339" name="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1293" name="Transpose_976" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17872,7 +17504,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_1636">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -17880,7 +17512,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1340" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1294" name="Shape_977" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17891,24 +17523,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1637">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1341" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="1295" name="Constant_978" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1638" />
 			</output>
 		</layer>
-		<layer id="1342" name="Constant_5286" type="Const" version="opset1">
+		<layer id="1296" name="Constant_5240" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1343" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="1297" name="Gather_979" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17918,10 +17550,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1639" />
 			</output>
 		</layer>
-		<layer id="1344" name="Constant_5292" type="Const" version="opset1">
+		<layer id="1298" name="Constant_5246" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17929,7 +17561,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1345" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1299" name="Unsqueeze_983" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17937,12 +17569,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1644">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1346" name="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1300" name="Shape_980" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17953,24 +17585,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1640">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1347" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="1301" name="Constant_981" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1641" />
 			</output>
 		</layer>
-		<layer id="1348" name="Constant_5290" type="Const" version="opset1">
+		<layer id="1302" name="Constant_5244" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1349" name="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="1303" name="Gather_982" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17980,10 +17612,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1642" />
 			</output>
 		</layer>
-		<layer id="1350" name="Constant_5294" type="Const" version="opset1">
+		<layer id="1304" name="Constant_5248" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17991,7 +17623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1351" name="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1305" name="Unsqueeze_984" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17999,20 +17631,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1352" name="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1645">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1353" name="/nncf_module/vit/encoder/layer.6/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="1306" name="Concat_985" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -18026,12 +17650,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.6/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_1647">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1354" name="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1307" name="Reshape_986" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18045,14 +17669,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1648">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1355" name="/nncf_module/vit/encoder/layer.6/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1308" name="Constant_987" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="47763808" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -18061,7 +17685,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1356" name="Convert_37166" type="Convert" version="opset1">
+		<layer id="1309" name="Convert_37088" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -18076,7 +17700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1357" name="Constant_37103" type="Const" version="opset1">
+		<layer id="1310" name="Constant_37025" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="48353632" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -18085,7 +17709,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1358" name="/nncf_module/vit/encoder/layer.6/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1311" name="FakeQuantize_990" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18098,13 +17722,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1652">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1359" name="Constant_5412" type="Const" version="opset1">
+		<layer id="1312" name="Constant_5365" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -18112,7 +17736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1360" name="/nncf_module/vit/encoder/layer.6/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1313" name="Transpose_991" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -18123,13 +17747,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1653">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1361" name="/nncf_module/vit/encoder/layer.6/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1314" name="MatMul_992" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18143,14 +17767,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1654">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1362" name="/nncf_module/vit/encoder/layer.6/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1315" name="Add_993" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18163,14 +17787,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1655">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1363" name="/nncf_module/vit/encoder/layer.6/Add" type="Add" version="opset1">
+		<layer id="1316" name="Add_994" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18185,14 +17809,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/Add_output_0">
+				<port id="2" precision="FP32" names="input.75">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1364" name="Constant_5417" type="Const" version="opset1">
+		<layer id="1317" name="Constant_5370" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18200,7 +17824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1365" name="/nncf_module/vit/encoder/layer.6/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1318" name="ReduceMean_995" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18213,14 +17837,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1657">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1366" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="1319" name="Sub_996" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18235,20 +17859,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1658">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1367" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="1320" name="Constant_997" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1659" />
 			</output>
 		</layer>
-		<layer id="1368" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="1321" name="Pow_998" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18259,14 +17883,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1660">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1369" name="Constant_5422" type="Const" version="opset1">
+		<layer id="1322" name="Constant_5375" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18274,7 +17898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1370" name="/nncf_module/vit/encoder/layer.6/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1323" name="ReduceMean_999" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18287,20 +17911,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1661">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1371" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="1324" name="Constant_1000" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1662" />
 			</output>
 		</layer>
-		<layer id="1372" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="1325" name="Add_1001" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18311,14 +17935,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1663">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1373" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1326" name="Sqrt_1002" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18327,14 +17951,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1664">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1374" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="1327" name="Div_1003" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18349,14 +17973,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1665">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1375" name="nncf_module.vit.encoder.layer.6.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="1328" name="nncf_module.vit.encoder.layer.6.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="48356704" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.6.layernorm_after.weight">
@@ -18364,7 +17988,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1376" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="1329" name="Mul_1004" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18377,14 +18001,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1666">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1377" name="nncf_module.vit.encoder.layer.6.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="1330" name="nncf_module.vit.encoder.layer.6.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="48359776" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.6.layernorm_after.bias">
@@ -18392,7 +18016,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1378" name="/nncf_module/vit/encoder/layer.6/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="1331" name="Add_1005" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18405,30 +18029,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.163">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1379" name="/nncf_module/vit/encoder/layer.6/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1332" name="Constant_1006" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="48362848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1668">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1380" name="/nncf_module/vit/encoder/layer.6/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1333" name="Constant_1007" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="48362852" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1669">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1381" name="/nncf_module/vit/encoder/layer.6/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1334" name="FakeQuantize_1008" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18450,14 +18074,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.6/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[6]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1670">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1382" name="/nncf_module/vit/encoder/layer.6/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1335" name="Constant_1009" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="48362856" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -18466,7 +18090,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1383" name="Convert_37287" type="Convert" version="opset1">
+		<layer id="1336" name="Convert_37209" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -18481,7 +18105,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1384" name="Constant_37224" type="Const" version="opset1">
+		<layer id="1337" name="Constant_37146" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="50722152" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -18490,7 +18114,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1385" name="/nncf_module/vit/encoder/layer.6/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1338" name="FakeQuantize_1012" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18503,13 +18127,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1674">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1386" name="Constant_5437" type="Const" version="opset1">
+		<layer id="1339" name="Constant_5390" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -18517,7 +18141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1387" name="/nncf_module/vit/encoder/layer.6/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1340" name="Transpose_1013" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -18528,13 +18152,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1675">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1388" name="/nncf_module/vit/encoder/layer.6/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1341" name="MatMul_1014" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18548,14 +18172,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1676">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1389" name="/nncf_module/vit/encoder/layer.6/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1342" name="Add_1015" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18568,20 +18192,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1677">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1390" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="1343" name="Constant_1016" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1678" />
 			</output>
 		</layer>
-		<layer id="1391" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1344" name="Div_1017" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18592,14 +18216,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_1679">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1392" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1345" name="Erf_1018" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18608,20 +18232,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_1680">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1393" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="1346" name="Constant_1019" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1681" />
 			</output>
 		</layer>
-		<layer id="1394" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1347" name="Add_1020" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18632,14 +18256,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1682">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1395" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1348" name="Mul_1021" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18654,20 +18278,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1683">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1396" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="1349" name="Constant_1022" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_1684" />
 			</output>
 		</layer>
-		<layer id="1397" name="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1350" name="Mul_1023" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18678,14 +18302,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1685">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1398" name="/nncf_module/vit/encoder/layer.6/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1351" name="Constant_1024" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="50734440" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -18694,7 +18318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1399" name="Convert_37408" type="Convert" version="opset1">
+		<layer id="1352" name="Convert_37330" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -18709,7 +18333,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1400" name="Constant_37345" type="Const" version="opset1">
+		<layer id="1353" name="Constant_37267" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="53093736" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -18718,7 +18342,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1401" name="/nncf_module/vit/encoder/layer.6/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1354" name="FakeQuantize_1027" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18731,13 +18355,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1689">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1402" name="Constant_5453" type="Const" version="opset1">
+		<layer id="1355" name="Constant_5406" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -18745,7 +18369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1403" name="/nncf_module/vit/encoder/layer.6/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1356" name="Transpose_1028" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -18756,13 +18380,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1690">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1404" name="/nncf_module/vit/encoder/layer.6/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1357" name="MatMul_1029" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18776,14 +18400,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1691">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1405" name="/nncf_module/vit/encoder/layer.6/output/dense/Add" type="Add" version="opset1">
+		<layer id="1358" name="Add_1030" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18796,14 +18420,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1692">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1406" name="/nncf_module/vit/encoder/layer.6/output/Add" type="Add" version="opset1">
+		<layer id="1359" name="Add_1031" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18818,14 +18442,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.6/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.79">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1407" name="Constant_5458" type="Const" version="opset1">
+		<layer id="1360" name="Constant_5411" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18833,7 +18457,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1408" name="/nncf_module/vit/encoder/layer.7/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1361" name="ReduceMean_1032" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18846,14 +18470,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1694">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1409" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="1362" name="Sub_1033" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18868,20 +18492,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1695">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1410" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="1363" name="Constant_10340" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1696" />
 			</output>
 		</layer>
-		<layer id="1411" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="1364" name="Pow_1035" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18892,14 +18516,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1697">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1412" name="Constant_5463" type="Const" version="opset1">
+		<layer id="1365" name="Constant_5416" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18907,7 +18531,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1413" name="/nncf_module/vit/encoder/layer.7/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1366" name="ReduceMean_1036" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18920,20 +18544,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1698">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1414" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="1367" name="Constant_1037" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1699" />
 			</output>
 		</layer>
-		<layer id="1415" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="1368" name="Add_1038" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18944,14 +18568,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1700">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1416" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1369" name="Sqrt_1039" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18960,14 +18584,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1701">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1417" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="1370" name="Div_1040" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18982,14 +18606,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1702">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1418" name="nncf_module.vit.encoder.layer.7.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="1371" name="nncf_module.vit.encoder.layer.7.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="53096808" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.7.layernorm_before.weight">
@@ -18997,7 +18621,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1419" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="1372" name="Mul_1041" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19010,14 +18634,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1703">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1420" name="nncf_module.vit.encoder.layer.7.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="1373" name="nncf_module.vit.encoder.layer.7.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="53099880" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.7.layernorm_before.bias">
@@ -19025,7 +18649,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1421" name="/nncf_module/vit/encoder/layer.7/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="1374" name="Add_1042" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19038,30 +18662,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.167">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1422" name="/nncf_module/vit/encoder/layer.7/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1375" name="Constant_1043" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="53102952" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1705">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1423" name="/nncf_module/vit/encoder/layer.7/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1376" name="Constant_1044" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="53102956" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1706">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1424" name="/nncf_module/vit/encoder/layer.7/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1377" name="FakeQuantize_1045" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19083,14 +18707,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1707">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1425" name="/nncf_module/vit/encoder/layer.7/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1378" name="Constant_1046" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="53102960" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -19099,7 +18723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1426" name="Convert_37529" type="Convert" version="opset1">
+		<layer id="1379" name="Convert_37451" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -19114,7 +18738,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1427" name="Constant_37466" type="Const" version="opset1">
+		<layer id="1380" name="Constant_37388" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="53692784" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -19123,7 +18747,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1428" name="/nncf_module/vit/encoder/layer.7/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1381" name="FakeQuantize_1049" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19136,13 +18760,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1711">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1429" name="Constant_5478" type="Const" version="opset1">
+		<layer id="1382" name="Constant_5431" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -19150,7 +18774,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1430" name="/nncf_module/vit/encoder/layer.7/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="1383" name="Transpose_1050" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -19161,13 +18785,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1712">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1431" name="/nncf_module/vit/encoder/layer.7/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1384" name="MatMul_1051" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19181,14 +18805,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1713">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1432" name="/nncf_module/vit/encoder/layer.7/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="1385" name="Add_1052" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19201,14 +18825,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.171">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1433" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1386" name="Shape_1088" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19218,24 +18842,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1758">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1434" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="1387" name="Constant_1089" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1759" />
 			</output>
 		</layer>
-		<layer id="1435" name="Constant_5764" type="Const" version="opset1">
+		<layer id="1388" name="Constant_5713" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1436" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="1389" name="Gather_1090" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19245,10 +18869,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1760" />
 			</output>
 		</layer>
-		<layer id="1437" name="Constant_5770" type="Const" version="opset1">
+		<layer id="1390" name="Constant_5719" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19256,7 +18880,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1438" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1391" name="Unsqueeze_1094" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19264,12 +18888,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1766">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1439" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1392" name="Shape_1091" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19279,24 +18903,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1761">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1440" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="1393" name="Constant_1092" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1762" />
 			</output>
 		</layer>
-		<layer id="1441" name="Constant_5768" type="Const" version="opset1">
+		<layer id="1394" name="Constant_5717" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1442" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="1395" name="Gather_1093" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19306,10 +18930,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1763" />
 			</output>
 		</layer>
-		<layer id="1443" name="Constant_5772" type="Const" version="opset1">
+		<layer id="1396" name="Constant_5721" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19317,7 +18941,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1444" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1397" name="Unsqueeze_1095" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19325,28 +18949,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1445" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_10_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1767">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1446" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1447" name="/nncf_module/vit/encoder/layer.7/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="1398" name="Concat_1096" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19363,12 +18971,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1770">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1448" name="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1399" name="Reshape_1097" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19381,7 +18989,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1771">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -19389,7 +18997,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1449" name="Constant_5893" type="Const" version="opset1">
+		<layer id="1400" name="Constant_5840" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -19397,7 +19005,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1450" name="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1401" name="Transpose_1098" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19410,7 +19018,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1772">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -19418,7 +19026,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1451" name="nncf_module.vit.encoder.layer.7.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="1402" name="nncf_module.vit.encoder.layer.7.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="53695856" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.7.attention.attention.key.bias">
@@ -19426,7 +19034,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1452" name="/nncf_module/vit/encoder/layer.7/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1403" name="Constant_1053" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="53698928" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -19435,7 +19043,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1453" name="Convert_37650" type="Convert" version="opset1">
+		<layer id="1404" name="Convert_37572" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -19450,7 +19058,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1454" name="Constant_37587" type="Const" version="opset1">
+		<layer id="1405" name="Constant_37509" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="54288752" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -19459,7 +19067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1455" name="/nncf_module/vit/encoder/layer.7/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1406" name="FakeQuantize_1056" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19472,13 +19080,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1718">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1456" name="Constant_5486" type="Const" version="opset1">
+		<layer id="1407" name="Constant_5439" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -19486,7 +19094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1457" name="/nncf_module/vit/encoder/layer.7/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="1408" name="Transpose_1057" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -19497,13 +19105,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1719">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1458" name="/nncf_module/vit/encoder/layer.7/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1409" name="MatMul_1058" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19517,14 +19125,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1720">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1459" name="/nncf_module/vit/encoder/layer.7/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="1410" name="Add_1059" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19537,14 +19145,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.175">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1460" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="1411" name="Shape_1060" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19554,24 +19162,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1722">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1461" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="1412" name="Constant_1061" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1723" />
 			</output>
 		</layer>
-		<layer id="1462" name="Constant_5492" type="Const" version="opset1">
+		<layer id="1413" name="Constant_5445" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1463" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="1414" name="Gather_1062" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19581,10 +19189,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1724" />
 			</output>
 		</layer>
-		<layer id="1464" name="Constant_5498" type="Const" version="opset1">
+		<layer id="1415" name="Constant_5451" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19592,7 +19200,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1465" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1416" name="Unsqueeze_1066" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19600,12 +19208,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1730">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1466" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1417" name="Shape_1063" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19615,24 +19223,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1725">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1467" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="1418" name="Constant_1064" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1726" />
 			</output>
 		</layer>
-		<layer id="1468" name="Constant_5496" type="Const" version="opset1">
+		<layer id="1419" name="Constant_5449" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1469" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="1420" name="Gather_1065" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19642,10 +19250,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1727" />
 			</output>
 		</layer>
-		<layer id="1470" name="Constant_5500" type="Const" version="opset1">
+		<layer id="1421" name="Constant_5453" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19653,7 +19261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1471" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1422" name="Unsqueeze_1067" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19661,28 +19269,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1472" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1473" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1731">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1474" name="/nncf_module/vit/encoder/layer.7/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="1423" name="Concat_1068" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19699,12 +19291,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1734">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1475" name="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="1424" name="Reshape_1069" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19717,7 +19309,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1735">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -19725,7 +19317,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1476" name="Constant_5895" type="Const" version="opset1">
+		<layer id="1425" name="Constant_5842" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -19733,7 +19325,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1477" name="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1426" name="Transpose_1099" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19746,7 +19338,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1773">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -19754,7 +19346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1478" name="/nncf_module/vit/encoder/layer.7/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="1427" name="MatMul_1100" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19771,7 +19363,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1774">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -19779,13 +19371,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1479" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="1428" name="Constant_1101" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1775" />
 			</output>
 		</layer>
-		<layer id="1480" name="/nncf_module/vit/encoder/layer.7/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="1429" name="Div_1102" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19797,7 +19389,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.83">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -19805,7 +19397,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1481" name="ShapeOf_5900" type="ShapeOf" version="opset1">
+		<layer id="1430" name="ShapeOf_5847" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19820,7 +19412,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1482" name="Constant_5903" type="Const" version="opset1">
+		<layer id="1431" name="Constant_5850" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19828,7 +19420,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1483" name="Constant_5902" type="Const" version="opset1">
+		<layer id="1432" name="Constant_5849" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19836,7 +19428,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1484" name="Constant_5904" type="Const" version="opset1">
+		<layer id="1433" name="Constant_5851" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19844,7 +19436,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1485" name="StridedSlice_5905" type="StridedSlice" version="opset1">
+		<layer id="1434" name="StridedSlice_5852" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -19866,13 +19458,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1486" name="Constant_5906" type="Const" version="opset1">
+		<layer id="1435" name="Constant_5853" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1487" name="ReduceProd_5907" type="ReduceProd" version="opset1">
+		<layer id="1436" name="ReduceProd_5854" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -19886,7 +19478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1488" name="Constant_5908" type="Const" version="opset1">
+		<layer id="1437" name="Constant_5855" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19894,7 +19486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1489" name="Concat_5909" type="Concat" version="opset1">
+		<layer id="1438" name="Concat_5856" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19910,7 +19502,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1490" name="Reshape_5910" type="Reshape" version="opset1">
+		<layer id="1439" name="Reshape_5857" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19930,7 +19522,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1491" name="Softmax_5973" type="SoftMax" version="opset8">
+		<layer id="1440" name="Softmax_5920" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19945,7 +19537,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1492" name="ShapeOf_5974" type="ShapeOf" version="opset3">
+		<layer id="1441" name="ShapeOf_5921" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19961,7 +19553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1493" name="/nncf_module/vit/encoder/layer.7/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="1442" name="Softmax_1103" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19973,7 +19565,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1777">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -19981,7 +19573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1494" name="nncf_module.vit.encoder.layer.7.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="1443" name="nncf_module.vit.encoder.layer.7.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="54291824" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.7.attention.attention.value.bias">
@@ -19989,7 +19581,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1495" name="/nncf_module/vit/encoder/layer.7/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1444" name="Constant_1070" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="54294896" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -19998,7 +19590,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1496" name="Convert_37771" type="Convert" version="opset1">
+		<layer id="1445" name="Convert_37693" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -20013,7 +19605,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1497" name="Constant_37708" type="Const" version="opset1">
+		<layer id="1446" name="Constant_37630" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="54884720" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -20022,7 +19614,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1498" name="/nncf_module/vit/encoder/layer.7/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1447" name="FakeQuantize_1073" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20035,13 +19627,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1739">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1499" name="Constant_5625" type="Const" version="opset1">
+		<layer id="1448" name="Constant_5576" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -20049,7 +19641,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1500" name="/nncf_module/vit/encoder/layer.7/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="1449" name="Transpose_1074" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -20060,13 +19652,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1740">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1501" name="/nncf_module/vit/encoder/layer.7/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1450" name="MatMul_1075" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20080,14 +19672,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1741">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1502" name="/nncf_module/vit/encoder/layer.7/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="1451" name="Add_1076" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20100,14 +19692,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.179">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1503" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1452" name="Shape_1077" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20117,24 +19709,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1743">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1504" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="1453" name="Constant_1078" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1744" />
 			</output>
 		</layer>
-		<layer id="1505" name="Constant_5631" type="Const" version="opset1">
+		<layer id="1454" name="Constant_5582" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1506" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="1455" name="Gather_1079" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20144,10 +19736,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1745" />
 			</output>
 		</layer>
-		<layer id="1507" name="Constant_5637" type="Const" version="opset1">
+		<layer id="1456" name="Constant_5588" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20155,7 +19747,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1508" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1457" name="Unsqueeze_1083" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20163,12 +19755,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1751">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1509" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1458" name="Shape_1080" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20178,24 +19770,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1746">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1510" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="1459" name="Constant_1081" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1747" />
 			</output>
 		</layer>
-		<layer id="1511" name="Constant_5635" type="Const" version="opset1">
+		<layer id="1460" name="Constant_5586" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1512" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="1461" name="Gather_1082" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20205,10 +19797,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1748" />
 			</output>
 		</layer>
-		<layer id="1513" name="Constant_5639" type="Const" version="opset1">
+		<layer id="1462" name="Constant_5590" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20216,7 +19808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1514" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1463" name="Unsqueeze_1084" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20224,28 +19816,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1515" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1516" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_7_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1752">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1517" name="/nncf_module/vit/encoder/layer.7/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="1464" name="Concat_1085" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20262,12 +19838,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1755">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1518" name="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1465" name="Reshape_1086" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20280,7 +19856,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1756">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -20288,7 +19864,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1519" name="Constant_5760" type="Const" version="opset1">
+		<layer id="1466" name="Constant_5709" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -20296,7 +19872,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1520" name="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="1467" name="Transpose_1087" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20309,7 +19885,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1757">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -20317,7 +19893,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1521" name="/nncf_module/vit/encoder/layer.7/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1468" name="MatMul_1104" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20334,7 +19910,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.183">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -20342,23 +19918,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1522" name="/nncf_module/vit/encoder/layer.7/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1469" name="Constant_1105" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="54887792" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1779">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1523" name="/nncf_module/vit/encoder/layer.7/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1470" name="Constant_1106" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="54887796" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1780">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1524" name="/nncf_module/vit/encoder/layer.7/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1471" name="FakeQuantize_1107" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20381,7 +19957,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_1781">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -20389,7 +19965,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1525" name="Constant_5990" type="Const" version="opset1">
+		<layer id="1472" name="Constant_5937" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -20397,7 +19973,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1526" name="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1473" name="Transpose_1108" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20410,7 +19986,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_1782">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -20418,7 +19994,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1527" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1474" name="Shape_1109" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20429,24 +20005,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1783">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1528" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="1475" name="Constant_1110" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1784" />
 			</output>
 		</layer>
-		<layer id="1529" name="Constant_5994" type="Const" version="opset1">
+		<layer id="1476" name="Constant_5941" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1530" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="1477" name="Gather_1111" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20456,10 +20032,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1785" />
 			</output>
 		</layer>
-		<layer id="1531" name="Constant_6000" type="Const" version="opset1">
+		<layer id="1478" name="Constant_5947" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20467,7 +20043,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1532" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1479" name="Unsqueeze_1115" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20475,12 +20051,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1790">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1533" name="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1480" name="Shape_1112" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20491,24 +20067,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1786">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1534" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="1481" name="Constant_1113" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1787" />
 			</output>
 		</layer>
-		<layer id="1535" name="Constant_5998" type="Const" version="opset1">
+		<layer id="1482" name="Constant_5945" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1536" name="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="1483" name="Gather_1114" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20518,10 +20094,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1788" />
 			</output>
 		</layer>
-		<layer id="1537" name="Constant_6002" type="Const" version="opset1">
+		<layer id="1484" name="Constant_5949" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20529,7 +20105,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1538" name="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1485" name="Unsqueeze_1116" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20537,20 +20113,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1539" name="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1791">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1540" name="/nncf_module/vit/encoder/layer.7/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="1486" name="Concat_1117" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20564,12 +20132,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.7/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_1793">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1541" name="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1487" name="Reshape_1118" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20583,14 +20151,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1794">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1542" name="/nncf_module/vit/encoder/layer.7/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1488" name="Constant_1119" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="54887800" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -20599,7 +20167,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1543" name="Convert_37892" type="Convert" version="opset1">
+		<layer id="1489" name="Convert_37814" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -20614,7 +20182,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1544" name="Constant_37829" type="Const" version="opset1">
+		<layer id="1490" name="Constant_37751" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="55477624" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -20623,7 +20191,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1545" name="/nncf_module/vit/encoder/layer.7/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1491" name="FakeQuantize_1122" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20636,13 +20204,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1798">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1546" name="Constant_6120" type="Const" version="opset1">
+		<layer id="1492" name="Constant_6066" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -20650,7 +20218,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1547" name="/nncf_module/vit/encoder/layer.7/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1493" name="Transpose_1123" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -20661,13 +20229,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1799">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1548" name="/nncf_module/vit/encoder/layer.7/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1494" name="MatMul_1124" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20681,14 +20249,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1800">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1549" name="/nncf_module/vit/encoder/layer.7/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1495" name="Add_1125" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20701,14 +20269,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1801">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1550" name="/nncf_module/vit/encoder/layer.7/Add" type="Add" version="opset1">
+		<layer id="1496" name="Add_1126" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20723,14 +20291,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/Add_output_0">
+				<port id="2" precision="FP32" names="input.87">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1551" name="Constant_6125" type="Const" version="opset1">
+		<layer id="1497" name="Constant_6071" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20738,7 +20306,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1552" name="/nncf_module/vit/encoder/layer.7/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1498" name="ReduceMean_1127" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20751,14 +20319,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1803">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1553" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="1499" name="Sub_1128" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20773,20 +20341,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1804">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1554" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="1500" name="Constant_1129" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1805" />
 			</output>
 		</layer>
-		<layer id="1555" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="1501" name="Pow_1130" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20797,14 +20365,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1806">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1556" name="Constant_6130" type="Const" version="opset1">
+		<layer id="1502" name="Constant_6076" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20812,7 +20380,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1557" name="/nncf_module/vit/encoder/layer.7/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1503" name="ReduceMean_1131" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20825,20 +20393,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1807">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1558" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="1504" name="Constant_1132" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1808" />
 			</output>
 		</layer>
-		<layer id="1559" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="1505" name="Add_1133" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20849,14 +20417,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1809">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1560" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1506" name="Sqrt_1134" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20865,14 +20433,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1810">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1561" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="1507" name="Div_1135" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20887,14 +20455,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1811">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1562" name="nncf_module.vit.encoder.layer.7.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="1508" name="nncf_module.vit.encoder.layer.7.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="55480696" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.7.layernorm_after.weight">
@@ -20902,7 +20470,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1563" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="1509" name="Mul_1136" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20915,14 +20483,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1812">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1564" name="nncf_module.vit.encoder.layer.7.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="1510" name="nncf_module.vit.encoder.layer.7.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="55483768" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.7.layernorm_after.bias">
@@ -20930,7 +20498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1565" name="/nncf_module/vit/encoder/layer.7/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="1511" name="Add_1137" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20943,30 +20511,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.187">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1566" name="/nncf_module/vit/encoder/layer.7/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1512" name="Constant_1138" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="55486840" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1814">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1567" name="/nncf_module/vit/encoder/layer.7/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1513" name="Constant_1139" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="55486844" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1815">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1568" name="/nncf_module/vit/encoder/layer.7/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1514" name="FakeQuantize_1140" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20988,14 +20556,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.7/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[7]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1816">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1569" name="/nncf_module/vit/encoder/layer.7/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1515" name="Constant_1141" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="55486848" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -21004,7 +20572,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1570" name="Convert_38013" type="Convert" version="opset1">
+		<layer id="1516" name="Convert_37935" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -21019,7 +20587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1571" name="Constant_37950" type="Const" version="opset1">
+		<layer id="1517" name="Constant_37872" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="57846144" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -21028,7 +20596,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1572" name="/nncf_module/vit/encoder/layer.7/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1518" name="FakeQuantize_1144" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21041,13 +20609,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1820">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1573" name="Constant_6145" type="Const" version="opset1">
+		<layer id="1519" name="Constant_6091" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -21055,7 +20623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1574" name="/nncf_module/vit/encoder/layer.7/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1520" name="Transpose_1145" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -21066,13 +20634,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1821">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1575" name="/nncf_module/vit/encoder/layer.7/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1521" name="MatMul_1146" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21086,14 +20654,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1822">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1576" name="/nncf_module/vit/encoder/layer.7/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1522" name="Add_1147" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21106,20 +20674,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1823">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1577" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="1523" name="Constant_1148" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1824" />
 			</output>
 		</layer>
-		<layer id="1578" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1524" name="Div_1149" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21130,14 +20698,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_1825">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1579" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1525" name="Erf_1150" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21146,20 +20714,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_1826">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1580" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="1526" name="Constant_1151" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1827" />
 			</output>
 		</layer>
-		<layer id="1581" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1527" name="Add_1152" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21170,14 +20738,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1828">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1582" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1528" name="Mul_1153" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21192,20 +20760,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1829">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1583" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="1529" name="Constant_1154" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_1830" />
 			</output>
 		</layer>
-		<layer id="1584" name="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1530" name="Mul_1155" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21216,14 +20784,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1831">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1585" name="/nncf_module/vit/encoder/layer.7/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1531" name="Constant_1156" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="57858432" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -21232,7 +20800,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1586" name="Convert_38134" type="Convert" version="opset1">
+		<layer id="1532" name="Convert_38056" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -21247,7 +20815,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1587" name="Constant_38071" type="Const" version="opset1">
+		<layer id="1533" name="Constant_37993" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="60217728" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -21256,7 +20824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1588" name="/nncf_module/vit/encoder/layer.7/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1534" name="FakeQuantize_1159" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21269,13 +20837,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1835">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1589" name="Constant_6161" type="Const" version="opset1">
+		<layer id="1535" name="Constant_6107" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -21283,7 +20851,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1590" name="/nncf_module/vit/encoder/layer.7/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1536" name="Transpose_1160" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -21294,13 +20862,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1836">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1591" name="/nncf_module/vit/encoder/layer.7/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1537" name="MatMul_1161" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21314,14 +20882,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1837">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1592" name="/nncf_module/vit/encoder/layer.7/output/dense/Add" type="Add" version="opset1">
+		<layer id="1538" name="Add_1162" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21334,14 +20902,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1838">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1593" name="/nncf_module/vit/encoder/layer.7/output/Add" type="Add" version="opset1">
+		<layer id="1539" name="Add_1163" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21356,14 +20924,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.7/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.91">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1594" name="Constant_6166" type="Const" version="opset1">
+		<layer id="1540" name="Constant_6112" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -21371,7 +20939,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1595" name="/nncf_module/vit/encoder/layer.8/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1541" name="ReduceMean_1164" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21384,14 +20952,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1840">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1596" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="1542" name="Sub_1165" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21406,20 +20974,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1841">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1597" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="1543" name="Constant_1166" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1842" />
 			</output>
 		</layer>
-		<layer id="1598" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="1544" name="Pow_1167" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21430,14 +20998,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1843">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1599" name="Constant_6171" type="Const" version="opset1">
+		<layer id="1545" name="Constant_6117" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -21445,7 +21013,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1600" name="/nncf_module/vit/encoder/layer.8/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1546" name="ReduceMean_1168" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21458,20 +21026,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1844">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1601" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="1547" name="Constant_11690" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1845" />
 			</output>
 		</layer>
-		<layer id="1602" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="1548" name="Add_1170" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21482,14 +21050,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1846">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1603" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1549" name="Sqrt_1171" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21498,14 +21066,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1847">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1604" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="1550" name="Div_1172" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21520,14 +21088,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1848">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1605" name="nncf_module.vit.encoder.layer.8.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="1551" name="nncf_module.vit.encoder.layer.8.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="60220800" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.8.layernorm_before.weight">
@@ -21535,7 +21103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1606" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="1552" name="Mul_1173" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21548,14 +21116,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1849">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1607" name="nncf_module.vit.encoder.layer.8.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="1553" name="nncf_module.vit.encoder.layer.8.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="60223872" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.8.layernorm_before.bias">
@@ -21563,7 +21131,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1608" name="/nncf_module/vit/encoder/layer.8/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="1554" name="Add_1174" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21576,30 +21144,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.191">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1609" name="/nncf_module/vit/encoder/layer.8/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1555" name="Constant_1175" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="60226944" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1851">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1610" name="/nncf_module/vit/encoder/layer.8/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1556" name="Constant_1176" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="60226948" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1852">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1611" name="/nncf_module/vit/encoder/layer.8/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1557" name="FakeQuantize_1177" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21621,14 +21189,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1853">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1612" name="/nncf_module/vit/encoder/layer.8/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1558" name="Constant_1178" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="60226952" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -21637,7 +21205,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1613" name="Convert_38255" type="Convert" version="opset1">
+		<layer id="1559" name="Convert_38177" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -21652,7 +21220,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1614" name="Constant_38192" type="Const" version="opset1">
+		<layer id="1560" name="Constant_38114" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="60816776" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -21661,7 +21229,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1615" name="/nncf_module/vit/encoder/layer.8/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1561" name="FakeQuantize_1181" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21674,13 +21242,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1857">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1616" name="Constant_6186" type="Const" version="opset1">
+		<layer id="1562" name="Constant_6132" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -21688,7 +21256,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1617" name="/nncf_module/vit/encoder/layer.8/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="1563" name="Transpose_1182" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -21699,13 +21267,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1858">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1618" name="/nncf_module/vit/encoder/layer.8/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1564" name="MatMul_1183" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21719,14 +21287,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1859">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1619" name="/nncf_module/vit/encoder/layer.8/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="1565" name="Add_1184" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21739,14 +21307,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.195">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1620" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1566" name="Shape_1220" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21756,24 +21324,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1904">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1621" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="1567" name="Constant_1221" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1905" />
 			</output>
 		</layer>
-		<layer id="1622" name="Constant_6472" type="Const" version="opset1">
+		<layer id="1568" name="Constant_6414" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1623" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="1569" name="Gather_1222" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -21783,10 +21351,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1906" />
 			</output>
 		</layer>
-		<layer id="1624" name="Constant_6478" type="Const" version="opset1">
+		<layer id="1570" name="Constant_6420" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -21794,7 +21362,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1625" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1571" name="Unsqueeze_1226" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -21802,12 +21370,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1912">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1626" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1572" name="Shape_1223" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21817,24 +21385,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1907">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1627" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="1573" name="Constant_1224" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1908" />
 			</output>
 		</layer>
-		<layer id="1628" name="Constant_6476" type="Const" version="opset1">
+		<layer id="1574" name="Constant_6418" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1629" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="1575" name="Gather_1225" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -21844,10 +21412,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1909" />
 			</output>
 		</layer>
-		<layer id="1630" name="Constant_6480" type="Const" version="opset1">
+		<layer id="1576" name="Constant_6422" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -21855,7 +21423,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1631" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1577" name="Unsqueeze_1227" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -21863,28 +21431,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1632" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_10_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1913">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1633" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1634" name="/nncf_module/vit/encoder/layer.8/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="1578" name="Concat_1228" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -21901,12 +21453,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1916">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1635" name="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1579" name="Reshape_1229" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21919,7 +21471,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1917">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -21927,7 +21479,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1636" name="Constant_6601" type="Const" version="opset1">
+		<layer id="1580" name="Constant_6541" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -21935,7 +21487,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1637" name="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1581" name="Transpose_1230" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21948,7 +21500,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1918">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -21956,7 +21508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1638" name="nncf_module.vit.encoder.layer.8.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="1582" name="nncf_module.vit.encoder.layer.8.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="60819848" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.8.attention.attention.key.bias">
@@ -21964,7 +21516,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1639" name="/nncf_module/vit/encoder/layer.8/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1583" name="Constant_1185" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="60822920" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -21973,7 +21525,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1640" name="Convert_38376" type="Convert" version="opset1">
+		<layer id="1584" name="Convert_38298" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -21988,7 +21540,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1641" name="Constant_38313" type="Const" version="opset1">
+		<layer id="1585" name="Constant_38235" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="61412744" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -21997,7 +21549,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1642" name="/nncf_module/vit/encoder/layer.8/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1586" name="FakeQuantize_1188" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22010,13 +21562,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1864">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1643" name="Constant_6194" type="Const" version="opset1">
+		<layer id="1587" name="Constant_6140" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -22024,7 +21576,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1644" name="/nncf_module/vit/encoder/layer.8/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="1588" name="Transpose_1189" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -22035,13 +21587,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1865">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1645" name="/nncf_module/vit/encoder/layer.8/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1589" name="MatMul_1190" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22055,14 +21607,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1866">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1646" name="/nncf_module/vit/encoder/layer.8/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="1590" name="Add_1191" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22075,14 +21627,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.199">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1647" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="1591" name="Shape_1192" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22092,24 +21644,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1868">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1648" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="1592" name="Constant_1193" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1869" />
 			</output>
 		</layer>
-		<layer id="1649" name="Constant_6200" type="Const" version="opset1">
+		<layer id="1593" name="Constant_6146" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1650" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="1594" name="Gather_1194" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22119,10 +21671,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1870" />
 			</output>
 		</layer>
-		<layer id="1651" name="Constant_6206" type="Const" version="opset1">
+		<layer id="1595" name="Constant_6152" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22130,7 +21682,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1652" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1596" name="Unsqueeze_1198" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22138,12 +21690,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1876">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1653" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1597" name="Shape_1195" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22153,24 +21705,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1871">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1654" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="1598" name="Constant_1196" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1872" />
 			</output>
 		</layer>
-		<layer id="1655" name="Constant_6204" type="Const" version="opset1">
+		<layer id="1599" name="Constant_6150" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1656" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="1600" name="Gather_1197" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22180,10 +21732,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1873" />
 			</output>
 		</layer>
-		<layer id="1657" name="Constant_6208" type="Const" version="opset1">
+		<layer id="1601" name="Constant_6154" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22191,7 +21743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1658" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1602" name="Unsqueeze_1199" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22199,28 +21751,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1659" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1660" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1877">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1661" name="/nncf_module/vit/encoder/layer.8/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="1603" name="Concat_1200" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22237,12 +21773,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1880">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1662" name="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="1604" name="Reshape_1201" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22255,7 +21791,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1881">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -22263,7 +21799,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1663" name="Constant_6603" type="Const" version="opset1">
+		<layer id="1605" name="Constant_6543" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -22271,7 +21807,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1664" name="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1606" name="Transpose_1231" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22284,7 +21820,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1919">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -22292,7 +21828,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1665" name="/nncf_module/vit/encoder/layer.8/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="1607" name="MatMul_1232" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22309,7 +21845,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1920">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -22317,13 +21853,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1666" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="1608" name="Constant_12330" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1921" />
 			</output>
 		</layer>
-		<layer id="1667" name="/nncf_module/vit/encoder/layer.8/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="1609" name="Div_1234" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22335,7 +21871,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.95">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -22343,7 +21879,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1668" name="ShapeOf_6608" type="ShapeOf" version="opset1">
+		<layer id="1610" name="ShapeOf_6548" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22358,7 +21894,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1669" name="Constant_6611" type="Const" version="opset1">
+		<layer id="1611" name="Constant_6551" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22366,7 +21902,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1670" name="Constant_6610" type="Const" version="opset1">
+		<layer id="1612" name="Constant_6550" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22374,7 +21910,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1671" name="Constant_6612" type="Const" version="opset1">
+		<layer id="1613" name="Constant_6552" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22382,7 +21918,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1672" name="StridedSlice_6613" type="StridedSlice" version="opset1">
+		<layer id="1614" name="StridedSlice_6553" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -22404,13 +21940,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1673" name="Constant_6614" type="Const" version="opset1">
+		<layer id="1615" name="Constant_6554" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1674" name="ReduceProd_6615" type="ReduceProd" version="opset1">
+		<layer id="1616" name="ReduceProd_6555" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -22424,7 +21960,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1675" name="Constant_6616" type="Const" version="opset1">
+		<layer id="1617" name="Constant_6556" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22432,7 +21968,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1676" name="Concat_6617" type="Concat" version="opset1">
+		<layer id="1618" name="Concat_6557" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22448,7 +21984,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1677" name="Reshape_6618" type="Reshape" version="opset1">
+		<layer id="1619" name="Reshape_6558" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22468,7 +22004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1678" name="Softmax_6681" type="SoftMax" version="opset8">
+		<layer id="1620" name="Softmax_6621" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22483,7 +22019,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1679" name="ShapeOf_6682" type="ShapeOf" version="opset3">
+		<layer id="1621" name="ShapeOf_6622" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22499,7 +22035,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1680" name="/nncf_module/vit/encoder/layer.8/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="1622" name="Softmax_1235" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22511,7 +22047,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1923">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -22519,7 +22055,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1681" name="nncf_module.vit.encoder.layer.8.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="1623" name="nncf_module.vit.encoder.layer.8.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="61415816" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.8.attention.attention.value.bias">
@@ -22527,7 +22063,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1682" name="/nncf_module/vit/encoder/layer.8/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1624" name="Constant_1202" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="61418888" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -22536,7 +22072,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1683" name="Convert_38497" type="Convert" version="opset1">
+		<layer id="1625" name="Convert_38419" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -22551,7 +22087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1684" name="Constant_38434" type="Const" version="opset1">
+		<layer id="1626" name="Constant_38356" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="62008712" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -22560,7 +22096,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1685" name="/nncf_module/vit/encoder/layer.8/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1627" name="FakeQuantize_1205" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22573,13 +22109,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1885">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1686" name="Constant_6333" type="Const" version="opset1">
+		<layer id="1628" name="Constant_6277" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -22587,7 +22123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1687" name="/nncf_module/vit/encoder/layer.8/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="1629" name="Transpose_1206" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -22598,13 +22134,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1886">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1688" name="/nncf_module/vit/encoder/layer.8/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1630" name="MatMul_1207" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22618,14 +22154,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1887">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1689" name="/nncf_module/vit/encoder/layer.8/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="1631" name="Add_1208" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22638,14 +22174,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.203">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1690" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1632" name="Shape_1209" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22655,24 +22191,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1889">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1691" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="1633" name="Constant_12100" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1890" />
 			</output>
 		</layer>
-		<layer id="1692" name="Constant_6339" type="Const" version="opset1">
+		<layer id="1634" name="Constant_6283" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1693" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="1635" name="Gather_1211" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22682,10 +22218,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1891" />
 			</output>
 		</layer>
-		<layer id="1694" name="Constant_6345" type="Const" version="opset1">
+		<layer id="1636" name="Constant_6289" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22693,7 +22229,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1695" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1637" name="Unsqueeze_1215" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22701,12 +22237,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1897">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1696" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1638" name="Shape_1212" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22716,24 +22252,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1892">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1697" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="1639" name="Constant_1213" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1893" />
 			</output>
 		</layer>
-		<layer id="1698" name="Constant_6343" type="Const" version="opset1">
+		<layer id="1640" name="Constant_6287" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1699" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="1641" name="Gather_1214" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22743,10 +22279,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1894" />
 			</output>
 		</layer>
-		<layer id="1700" name="Constant_6347" type="Const" version="opset1">
+		<layer id="1642" name="Constant_6291" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22754,7 +22290,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1701" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1643" name="Unsqueeze_1216" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22762,28 +22298,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1898">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1702" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1703" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1704" name="/nncf_module/vit/encoder/layer.8/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="1644" name="Concat_1217" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22800,12 +22320,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_1901">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1705" name="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1645" name="Reshape_1218" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22818,7 +22338,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1902">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -22826,7 +22346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1706" name="Constant_6468" type="Const" version="opset1">
+		<layer id="1646" name="Constant_6410" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -22834,7 +22354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1707" name="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="1647" name="Transpose_1219" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22847,7 +22367,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1903">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -22855,7 +22375,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1708" name="/nncf_module/vit/encoder/layer.8/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1648" name="MatMul_1236" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22872,7 +22392,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.207">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -22880,23 +22400,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1709" name="/nncf_module/vit/encoder/layer.8/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1649" name="Constant_1237" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="62011784" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1925">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1710" name="/nncf_module/vit/encoder/layer.8/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1650" name="Constant_1238" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="62011788" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1926">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1711" name="/nncf_module/vit/encoder/layer.8/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1651" name="FakeQuantize_1239" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22919,7 +22439,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_1927">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -22927,7 +22447,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1712" name="Constant_6698" type="Const" version="opset1">
+		<layer id="1652" name="Constant_6638" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -22935,7 +22455,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1713" name="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1653" name="Transpose_1240" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22948,7 +22468,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_1928">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -22956,7 +22476,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1714" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1654" name="Shape_1241" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22967,24 +22487,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1929">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1715" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="1655" name="Constant_1242" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1930" />
 			</output>
 		</layer>
-		<layer id="1716" name="Constant_6702" type="Const" version="opset1">
+		<layer id="1656" name="Constant_6642" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1717" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="1657" name="Gather_1243" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22994,10 +22514,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1931" />
 			</output>
 		</layer>
-		<layer id="1718" name="Constant_6708" type="Const" version="opset1">
+		<layer id="1658" name="Constant_6648" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23005,7 +22525,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1719" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1659" name="Unsqueeze_1247" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -23013,12 +22533,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1936">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1720" name="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1660" name="Shape_1244" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23029,24 +22549,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_1932">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1721" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="1661" name="Constant_12450" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_1933" />
 			</output>
 		</layer>
-		<layer id="1722" name="Constant_6706" type="Const" version="opset1">
+		<layer id="1662" name="Constant_6646" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1723" name="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="1663" name="Gather_1246" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -23056,10 +22576,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_1934" />
 			</output>
 		</layer>
-		<layer id="1724" name="Constant_6710" type="Const" version="opset1">
+		<layer id="1664" name="Constant_6650" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23067,7 +22587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1725" name="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1665" name="Unsqueeze_1248" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -23075,20 +22595,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1726" name="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_1937">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1727" name="/nncf_module/vit/encoder/layer.8/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="1666" name="Concat_1249" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -23102,12 +22614,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.8/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_1939">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1728" name="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1667" name="Reshape_1250" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23121,14 +22633,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1940">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1729" name="/nncf_module/vit/encoder/layer.8/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1668" name="Constant_1251" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="62011792" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -23137,7 +22649,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1730" name="Convert_38618" type="Convert" version="opset1">
+		<layer id="1669" name="Convert_38540" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -23152,7 +22664,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1731" name="Constant_38555" type="Const" version="opset1">
+		<layer id="1670" name="Constant_38477" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="62601616" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -23161,7 +22673,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1732" name="/nncf_module/vit/encoder/layer.8/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1671" name="FakeQuantize_1254" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23174,13 +22686,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1944">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1733" name="Constant_6828" type="Const" version="opset1">
+		<layer id="1672" name="Constant_6767" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -23188,7 +22700,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1734" name="/nncf_module/vit/encoder/layer.8/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1673" name="Transpose_1255" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -23199,13 +22711,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1945">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1735" name="/nncf_module/vit/encoder/layer.8/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1674" name="MatMul_1256" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23219,14 +22731,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1946">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1736" name="/nncf_module/vit/encoder/layer.8/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1675" name="Add_1257" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23239,14 +22751,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1947">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1737" name="/nncf_module/vit/encoder/layer.8/Add" type="Add" version="opset1">
+		<layer id="1676" name="Add_1258" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23261,14 +22773,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/Add_output_0">
+				<port id="2" precision="FP32" names="input.99">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1738" name="Constant_6833" type="Const" version="opset1">
+		<layer id="1677" name="Constant_6772" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23276,7 +22788,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1739" name="/nncf_module/vit/encoder/layer.8/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1678" name="ReduceMean_1259" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23289,14 +22801,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1949">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1740" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="1679" name="Sub_1260" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23311,20 +22823,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1950">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1741" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="1680" name="Constant_1261" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1951" />
 			</output>
 		</layer>
-		<layer id="1742" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="1681" name="Pow_1262" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23335,14 +22847,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1952">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1743" name="Constant_6838" type="Const" version="opset1">
+		<layer id="1682" name="Constant_6777" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23350,7 +22862,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1744" name="/nncf_module/vit/encoder/layer.8/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1683" name="ReduceMean_1263" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23363,20 +22875,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1953">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1745" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="1684" name="Constant_1264" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1954" />
 			</output>
 		</layer>
-		<layer id="1746" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="1685" name="Add_1265" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23387,14 +22899,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1955">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1747" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1686" name="Sqrt_1266" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23403,14 +22915,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1956">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1748" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="1687" name="Div_1267" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23425,14 +22937,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1957">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1749" name="nncf_module.vit.encoder.layer.8.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="1688" name="nncf_module.vit.encoder.layer.8.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="62604688" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.8.layernorm_after.weight">
@@ -23440,7 +22952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1750" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="1689" name="Mul_1268" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23453,14 +22965,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1958">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1751" name="nncf_module.vit.encoder.layer.8.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="1690" name="nncf_module.vit.encoder.layer.8.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="62607760" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.8.layernorm_after.bias">
@@ -23468,7 +22980,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1752" name="/nncf_module/vit/encoder/layer.8/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="1691" name="Add_1269" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23481,30 +22993,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.211">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1753" name="/nncf_module/vit/encoder/layer.8/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1692" name="Constant_1270" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="62610832" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1960">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1754" name="/nncf_module/vit/encoder/layer.8/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1693" name="Constant_1271" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="62610836" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1961">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1755" name="/nncf_module/vit/encoder/layer.8/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1694" name="FakeQuantize_1272" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23526,14 +23038,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.8/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[8]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1962">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1756" name="/nncf_module/vit/encoder/layer.8/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1695" name="Constant_1273" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="62610840" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -23542,7 +23054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1757" name="Convert_38739" type="Convert" version="opset1">
+		<layer id="1696" name="Convert_38661" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -23557,7 +23069,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1758" name="Constant_38676" type="Const" version="opset1">
+		<layer id="1697" name="Constant_38598" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="64970136" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -23566,7 +23078,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1759" name="/nncf_module/vit/encoder/layer.8/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1698" name="FakeQuantize_1276" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23579,13 +23091,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1966">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1760" name="Constant_6853" type="Const" version="opset1">
+		<layer id="1699" name="Constant_6792" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -23593,7 +23105,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1761" name="/nncf_module/vit/encoder/layer.8/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1700" name="Transpose_1277" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -23604,13 +23116,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1967">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1762" name="/nncf_module/vit/encoder/layer.8/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1701" name="MatMul_1278" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23624,14 +23136,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1968">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1763" name="/nncf_module/vit/encoder/layer.8/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1702" name="Add_1279" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23644,20 +23156,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_1969">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1764" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="1703" name="Constant_1280" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_1970" />
 			</output>
 		</layer>
-		<layer id="1765" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1704" name="Div_1281" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23668,14 +23180,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_1971">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1766" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1705" name="Erf_1282" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23684,20 +23196,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_1972">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1767" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="1706" name="Constant_1283" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1973" />
 			</output>
 		</layer>
-		<layer id="1768" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1707" name="Add_1284" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23708,14 +23220,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1974">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1769" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1708" name="Mul_1285" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23730,20 +23242,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1975">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1770" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="1709" name="Constant_1286" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_1976" />
 			</output>
 		</layer>
-		<layer id="1771" name="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1710" name="Mul_1287" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23754,14 +23266,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1977">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1772" name="/nncf_module/vit/encoder/layer.8/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1711" name="Constant_1288" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="64982424" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -23770,7 +23282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1773" name="Convert_38860" type="Convert" version="opset1">
+		<layer id="1712" name="Convert_38782" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -23785,7 +23297,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1774" name="Constant_38797" type="Const" version="opset1">
+		<layer id="1713" name="Constant_38719" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="67341720" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -23794,7 +23306,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1775" name="/nncf_module/vit/encoder/layer.8/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1714" name="FakeQuantize_1291" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23807,13 +23319,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_1981">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1776" name="Constant_6869" type="Const" version="opset1">
+		<layer id="1715" name="Constant_6808" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -23821,7 +23333,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1777" name="/nncf_module/vit/encoder/layer.8/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1716" name="Transpose_1292" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -23832,13 +23344,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_1982">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1778" name="/nncf_module/vit/encoder/layer.8/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1717" name="MatMul_1293" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23852,14 +23364,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1983">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1779" name="/nncf_module/vit/encoder/layer.8/output/dense/Add" type="Add" version="opset1">
+		<layer id="1718" name="Add_1294" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23872,14 +23384,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1984">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1780" name="/nncf_module/vit/encoder/layer.8/output/Add" type="Add" version="opset1">
+		<layer id="1719" name="Add_1295" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23894,14 +23406,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.8/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.103">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1781" name="Constant_6874" type="Const" version="opset1">
+		<layer id="1720" name="Constant_6813" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23909,7 +23421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1782" name="/nncf_module/vit/encoder/layer.9/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1721" name="ReduceMean_1296" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23922,14 +23434,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_1986">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1783" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="1722" name="Sub_1297" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23944,20 +23456,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_1987">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1784" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="1723" name="Constant_1298" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_1988" />
 			</output>
 		</layer>
-		<layer id="1785" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="1724" name="Pow_1299" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23968,14 +23480,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_1989">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1786" name="Constant_6879" type="Const" version="opset1">
+		<layer id="1725" name="Constant_6818" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23983,7 +23495,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1787" name="/nncf_module/vit/encoder/layer.9/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1726" name="ReduceMean_1300" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23996,20 +23508,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1990">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1788" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="1727" name="Constant_1301" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_1991" />
 			</output>
 		</layer>
-		<layer id="1789" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="1728" name="Add_1302" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24020,14 +23532,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_1992">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1790" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1729" name="Sqrt_1303" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24036,14 +23548,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_1993">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1791" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="1730" name="Div_1304" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24058,14 +23570,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_1994">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1792" name="nncf_module.vit.encoder.layer.9.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="1731" name="nncf_module.vit.encoder.layer.9.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="67344792" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.9.layernorm_before.weight">
@@ -24073,7 +23585,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1793" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="1732" name="Mul_1305" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24086,14 +23598,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_1995">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1794" name="nncf_module.vit.encoder.layer.9.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="1733" name="nncf_module.vit.encoder.layer.9.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="67347864" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.9.layernorm_before.bias">
@@ -24101,7 +23613,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1795" name="/nncf_module/vit/encoder/layer.9/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="1734" name="Add_1306" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24114,30 +23626,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.215">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1796" name="/nncf_module/vit/encoder/layer.9/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1735" name="Constant_1307" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="67350936" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1997">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1797" name="/nncf_module/vit/encoder/layer.9/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1736" name="Constant_1308" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="67350940" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_1998">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1798" name="/nncf_module/vit/encoder/layer.9/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1737" name="FakeQuantize_1309" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24159,14 +23671,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_1999">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1799" name="/nncf_module/vit/encoder/layer.9/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1738" name="Constant_1310" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="67350944" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -24175,7 +23687,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1800" name="Convert_38981" type="Convert" version="opset1">
+		<layer id="1739" name="Convert_38903" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -24190,7 +23702,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1801" name="Constant_38918" type="Const" version="opset1">
+		<layer id="1740" name="Constant_38840" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="67940768" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -24199,7 +23711,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1802" name="/nncf_module/vit/encoder/layer.9/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1741" name="FakeQuantize_1313" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24212,13 +23724,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2003">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1803" name="Constant_6894" type="Const" version="opset1">
+		<layer id="1742" name="Constant_6833" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -24226,7 +23738,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1804" name="/nncf_module/vit/encoder/layer.9/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="1743" name="Transpose_1314" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -24237,13 +23749,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2004">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1805" name="/nncf_module/vit/encoder/layer.9/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1744" name="MatMul_1315" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24257,14 +23769,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2005">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1806" name="/nncf_module/vit/encoder/layer.9/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="1745" name="Add_1316" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24277,14 +23789,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.219">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1807" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1746" name="Shape_1352" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24294,24 +23806,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2050">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1808" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="1747" name="Constant_1353" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2051" />
 			</output>
 		</layer>
-		<layer id="1809" name="Constant_7180" type="Const" version="opset1">
+		<layer id="1748" name="Constant_7115" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1810" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="1749" name="Gather_1354" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24321,10 +23833,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2052" />
 			</output>
 		</layer>
-		<layer id="1811" name="Constant_7186" type="Const" version="opset1">
+		<layer id="1750" name="Constant_7121" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24332,7 +23844,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1812" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1751" name="Unsqueeze_1358" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -24340,12 +23852,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2058">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1813" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1752" name="Shape_1355" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24355,24 +23867,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2053">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1814" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="1753" name="Constant_1356" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2054" />
 			</output>
 		</layer>
-		<layer id="1815" name="Constant_7184" type="Const" version="opset1">
+		<layer id="1754" name="Constant_7119" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1816" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="1755" name="Gather_1357" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24382,10 +23894,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2055" />
 			</output>
 		</layer>
-		<layer id="1817" name="Constant_7188" type="Const" version="opset1">
+		<layer id="1756" name="Constant_7123" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24393,7 +23905,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1818" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1757" name="Unsqueeze_1359" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -24401,28 +23913,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_5_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2059">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1819" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_10_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1820" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1821" name="/nncf_module/vit/encoder/layer.9/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="1758" name="Concat_1360" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24439,12 +23935,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2062">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1822" name="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1759" name="Reshape_1361" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24457,7 +23953,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2063">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -24465,7 +23961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1823" name="Constant_7309" type="Const" version="opset1">
+		<layer id="1760" name="Constant_7242" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -24473,7 +23969,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1824" name="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1761" name="Transpose_1362" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24486,7 +23982,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2064">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -24494,7 +23990,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1825" name="nncf_module.vit.encoder.layer.9.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="1762" name="nncf_module.vit.encoder.layer.9.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="67943840" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.9.attention.attention.key.bias">
@@ -24502,7 +23998,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1826" name="/nncf_module/vit/encoder/layer.9/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1763" name="Constant_1317" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="67946912" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -24511,7 +24007,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1827" name="Convert_39102" type="Convert" version="opset1">
+		<layer id="1764" name="Convert_39024" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -24526,7 +24022,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1828" name="Constant_39039" type="Const" version="opset1">
+		<layer id="1765" name="Constant_38961" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="68536736" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -24535,7 +24031,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1829" name="/nncf_module/vit/encoder/layer.9/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1766" name="FakeQuantize_1320" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24548,13 +24044,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2010">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1830" name="Constant_6902" type="Const" version="opset1">
+		<layer id="1767" name="Constant_6841" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -24562,7 +24058,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1831" name="/nncf_module/vit/encoder/layer.9/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="1768" name="Transpose_1321" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -24573,13 +24069,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2011">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1832" name="/nncf_module/vit/encoder/layer.9/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1769" name="MatMul_1322" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24593,14 +24089,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2012">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1833" name="/nncf_module/vit/encoder/layer.9/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="1770" name="Add_1323" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24613,14 +24109,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.223">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1834" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="1771" name="Shape_1324" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24630,24 +24126,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2014">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1835" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="1772" name="Constant_1325" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2015" />
 			</output>
 		</layer>
-		<layer id="1836" name="Constant_6908" type="Const" version="opset1">
+		<layer id="1773" name="Constant_6847" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1837" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="1774" name="Gather_1326" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24657,10 +24153,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2016" />
 			</output>
 		</layer>
-		<layer id="1838" name="Constant_6914" type="Const" version="opset1">
+		<layer id="1775" name="Constant_6853" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24668,7 +24164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1839" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1776" name="Unsqueeze_1330" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -24676,12 +24172,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2022">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1840" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1777" name="Shape_1327" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24691,24 +24187,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2017">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1841" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="1778" name="Constant_1328" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2018" />
 			</output>
 		</layer>
-		<layer id="1842" name="Constant_6912" type="Const" version="opset1">
+		<layer id="1779" name="Constant_6851" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1843" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="1780" name="Gather_1329" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24718,10 +24214,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2019" />
 			</output>
 		</layer>
-		<layer id="1844" name="Constant_6916" type="Const" version="opset1">
+		<layer id="1781" name="Constant_6855" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24729,7 +24225,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1845" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1782" name="Unsqueeze_1331" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -24737,28 +24233,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1846" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1847" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2023">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1848" name="/nncf_module/vit/encoder/layer.9/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="1783" name="Concat_1332" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24775,12 +24255,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2026">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1849" name="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="1784" name="Reshape_1333" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24793,7 +24273,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2027">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -24801,7 +24281,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1850" name="Constant_7311" type="Const" version="opset1">
+		<layer id="1785" name="Constant_7244" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -24809,7 +24289,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1851" name="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1786" name="Transpose_1363" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24822,7 +24302,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2065">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -24830,7 +24310,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1852" name="/nncf_module/vit/encoder/layer.9/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="1787" name="MatMul_1364" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24847,7 +24327,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_2066">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -24855,13 +24335,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1853" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="1788" name="Constant_1365" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_2067" />
 			</output>
 		</layer>
-		<layer id="1854" name="/nncf_module/vit/encoder/layer.9/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="1789" name="Div_1366" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24873,7 +24353,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.107">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -24881,7 +24361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1855" name="ShapeOf_7316" type="ShapeOf" version="opset1">
+		<layer id="1790" name="ShapeOf_7249" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24896,7 +24376,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1856" name="Constant_7319" type="Const" version="opset1">
+		<layer id="1791" name="Constant_7252" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24904,7 +24384,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1857" name="Constant_7318" type="Const" version="opset1">
+		<layer id="1792" name="Constant_7251" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24912,7 +24392,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1858" name="Constant_7320" type="Const" version="opset1">
+		<layer id="1793" name="Constant_7253" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24920,7 +24400,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1859" name="StridedSlice_7321" type="StridedSlice" version="opset1">
+		<layer id="1794" name="StridedSlice_7254" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -24942,13 +24422,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1860" name="Constant_7322" type="Const" version="opset1">
+		<layer id="1795" name="Constant_7255" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1861" name="ReduceProd_7323" type="ReduceProd" version="opset1">
+		<layer id="1796" name="ReduceProd_7256" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -24962,7 +24442,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1862" name="Constant_7324" type="Const" version="opset1">
+		<layer id="1797" name="Constant_7257" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24970,7 +24450,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1863" name="Concat_7325" type="Concat" version="opset1">
+		<layer id="1798" name="Concat_7258" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24986,7 +24466,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1864" name="Reshape_7326" type="Reshape" version="opset1">
+		<layer id="1799" name="Reshape_7259" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25006,7 +24486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1865" name="Softmax_7389" type="SoftMax" version="opset8">
+		<layer id="1800" name="Softmax_7322" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25021,7 +24501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1866" name="ShapeOf_7390" type="ShapeOf" version="opset3">
+		<layer id="1801" name="ShapeOf_7323" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25037,7 +24517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1867" name="/nncf_module/vit/encoder/layer.9/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="1802" name="Softmax_1367" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25049,7 +24529,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2069">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -25057,7 +24537,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1868" name="nncf_module.vit.encoder.layer.9.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="1803" name="nncf_module.vit.encoder.layer.9.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="68539808" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.9.attention.attention.value.bias">
@@ -25065,7 +24545,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1869" name="/nncf_module/vit/encoder/layer.9/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1804" name="Constant_1334" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="68542880" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -25074,7 +24554,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1870" name="Convert_39223" type="Convert" version="opset1">
+		<layer id="1805" name="Convert_39145" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -25089,7 +24569,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1871" name="Constant_39160" type="Const" version="opset1">
+		<layer id="1806" name="Constant_39082" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="69132704" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -25098,7 +24578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1872" name="/nncf_module/vit/encoder/layer.9/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1807" name="FakeQuantize_1337" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25111,13 +24591,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2031">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1873" name="Constant_7041" type="Const" version="opset1">
+		<layer id="1808" name="Constant_6978" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -25125,7 +24605,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1874" name="/nncf_module/vit/encoder/layer.9/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="1809" name="Transpose_1338" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -25136,13 +24616,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2032">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1875" name="/nncf_module/vit/encoder/layer.9/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1810" name="MatMul_1339" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25156,14 +24636,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2033">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1876" name="/nncf_module/vit/encoder/layer.9/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="1811" name="Add_1340" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25176,14 +24656,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.227">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1877" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1812" name="Shape_1341" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25193,24 +24673,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2035">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1878" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="1813" name="Constant_1342" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2036" />
 			</output>
 		</layer>
-		<layer id="1879" name="Constant_7047" type="Const" version="opset1">
+		<layer id="1814" name="Constant_6984" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1880" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="1815" name="Gather_1343" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25220,10 +24700,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2037" />
 			</output>
 		</layer>
-		<layer id="1881" name="Constant_7053" type="Const" version="opset1">
+		<layer id="1816" name="Constant_6990" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25231,7 +24711,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1882" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1817" name="Unsqueeze_1347" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25239,12 +24719,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2043">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1883" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1818" name="Shape_1344" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25254,24 +24734,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2038">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1884" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="1819" name="Constant_1345" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2039" />
 			</output>
 		</layer>
-		<layer id="1885" name="Constant_7051" type="Const" version="opset1">
+		<layer id="1820" name="Constant_6988" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1886" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="1821" name="Gather_1346" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25281,10 +24761,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2040" />
 			</output>
 		</layer>
-		<layer id="1887" name="Constant_7055" type="Const" version="opset1">
+		<layer id="1822" name="Constant_6992" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25292,7 +24772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1888" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1823" name="Unsqueeze_1348" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25300,28 +24780,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2044">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1889" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1890" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1891" name="/nncf_module/vit/encoder/layer.9/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="1824" name="Concat_1349" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25338,12 +24802,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2047">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1892" name="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1825" name="Reshape_1350" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25356,7 +24820,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2048">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -25364,7 +24828,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1893" name="Constant_7176" type="Const" version="opset1">
+		<layer id="1826" name="Constant_7111" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -25372,7 +24836,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1894" name="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="1827" name="Transpose_1351" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25385,7 +24849,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2049">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -25393,7 +24857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1895" name="/nncf_module/vit/encoder/layer.9/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1828" name="MatMul_1368" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25410,7 +24874,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.231">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -25418,23 +24882,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1896" name="/nncf_module/vit/encoder/layer.9/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1829" name="Constant_1369" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="69135776" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2071">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1897" name="/nncf_module/vit/encoder/layer.9/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1830" name="Constant_13700" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="69135780" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2072">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1898" name="/nncf_module/vit/encoder/layer.9/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1831" name="FakeQuantize_1371" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25457,7 +24921,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_2073">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -25465,7 +24929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1899" name="Constant_7406" type="Const" version="opset1">
+		<layer id="1832" name="Constant_7339" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -25473,7 +24937,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1900" name="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1833" name="Transpose_1372" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25486,7 +24950,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_2074">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -25494,7 +24958,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1901" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1834" name="Shape_1373" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25505,24 +24969,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2075">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1902" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="1835" name="Constant_1374" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2076" />
 			</output>
 		</layer>
-		<layer id="1903" name="Constant_7410" type="Const" version="opset1">
+		<layer id="1836" name="Constant_7343" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1904" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="1837" name="Gather_1375" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25532,10 +24996,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2077" />
 			</output>
 		</layer>
-		<layer id="1905" name="Constant_7416" type="Const" version="opset1">
+		<layer id="1838" name="Constant_7349" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25543,7 +25007,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1906" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1839" name="Unsqueeze_1379" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25551,12 +25015,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2082">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1907" name="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1840" name="Shape_1376" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25567,24 +25031,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2078">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1908" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="1841" name="Constant_1377" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2079" />
 			</output>
 		</layer>
-		<layer id="1909" name="Constant_7414" type="Const" version="opset1">
+		<layer id="1842" name="Constant_7347" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1910" name="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="1843" name="Gather_1378" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25594,10 +25058,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2080" />
 			</output>
 		</layer>
-		<layer id="1911" name="Constant_7418" type="Const" version="opset1">
+		<layer id="1844" name="Constant_7351" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25605,7 +25069,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1912" name="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1845" name="Unsqueeze_1380" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25613,20 +25077,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1913" name="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2083">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1914" name="/nncf_module/vit/encoder/layer.9/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="1846" name="Concat_1381" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25640,12 +25096,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.9/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_2085">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1915" name="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1847" name="Reshape_1382" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25659,14 +25115,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2086">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1916" name="/nncf_module/vit/encoder/layer.9/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1848" name="Constant_1383" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="69135784" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -25675,7 +25131,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1917" name="Convert_39344" type="Convert" version="opset1">
+		<layer id="1849" name="Convert_39266" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -25690,7 +25146,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1918" name="Constant_39281" type="Const" version="opset1">
+		<layer id="1850" name="Constant_39203" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="69725608" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -25699,7 +25155,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1919" name="/nncf_module/vit/encoder/layer.9/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1851" name="FakeQuantize_1386" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25712,13 +25168,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2090">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1920" name="Constant_7536" type="Const" version="opset1">
+		<layer id="1852" name="Constant_7468" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -25726,7 +25182,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1921" name="/nncf_module/vit/encoder/layer.9/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1853" name="Transpose_1387" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -25737,13 +25193,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2091">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1922" name="/nncf_module/vit/encoder/layer.9/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1854" name="MatMul_1388" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25757,14 +25213,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2092">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1923" name="/nncf_module/vit/encoder/layer.9/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1855" name="Add_1389" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25777,14 +25233,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2093">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1924" name="/nncf_module/vit/encoder/layer.9/Add" type="Add" version="opset1">
+		<layer id="1856" name="Add_1390" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25799,14 +25255,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/Add_output_0">
+				<port id="2" precision="FP32" names="input.111">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1925" name="Constant_7541" type="Const" version="opset1">
+		<layer id="1857" name="Constant_7473" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25814,7 +25270,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1926" name="/nncf_module/vit/encoder/layer.9/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1858" name="ReduceMean_1391" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25827,14 +25283,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_2095">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1927" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="1859" name="Sub_1392" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25849,20 +25305,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_2096">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1928" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="1860" name="Constant_1393" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_2097" />
 			</output>
 		</layer>
-		<layer id="1929" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="1861" name="Pow_1394" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25873,14 +25329,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_2098">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1930" name="Constant_7546" type="Const" version="opset1">
+		<layer id="1862" name="Constant_7478" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25888,7 +25344,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1931" name="/nncf_module/vit/encoder/layer.9/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1863" name="ReduceMean_1395" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25901,20 +25357,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2099">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1932" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="1864" name="Constant_1396" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2100" />
 			</output>
 		</layer>
-		<layer id="1933" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="1865" name="Add_1397" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25925,14 +25381,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_2101">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1934" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1866" name="Sqrt_1398" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25941,14 +25397,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_2102">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1935" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="1867" name="Div_1399" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25963,14 +25419,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2103">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1936" name="nncf_module.vit.encoder.layer.9.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="1868" name="nncf_module.vit.encoder.layer.9.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="69728680" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.9.layernorm_after.weight">
@@ -25978,7 +25434,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1937" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="1869" name="Mul_1400" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25991,14 +25447,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2104">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1938" name="nncf_module.vit.encoder.layer.9.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="1870" name="nncf_module.vit.encoder.layer.9.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="69731752" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.9.layernorm_after.bias">
@@ -26006,7 +25462,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1939" name="/nncf_module/vit/encoder/layer.9/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="1871" name="Add_1401" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26019,30 +25475,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.235">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1940" name="/nncf_module/vit/encoder/layer.9/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1872" name="Constant_1402" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="69734824" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2106">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1941" name="/nncf_module/vit/encoder/layer.9/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1873" name="Constant_1403" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="69734828" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2107">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1942" name="/nncf_module/vit/encoder/layer.9/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1874" name="FakeQuantize_1404" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26064,14 +25520,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.9/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[9]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_2108">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1943" name="/nncf_module/vit/encoder/layer.9/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1875" name="Constant_1405" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="69734832" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -26080,7 +25536,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1944" name="Convert_39465" type="Convert" version="opset1">
+		<layer id="1876" name="Convert_39387" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -26095,7 +25551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1945" name="Constant_39402" type="Const" version="opset1">
+		<layer id="1877" name="Constant_39324" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="72094128" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -26104,7 +25560,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1946" name="/nncf_module/vit/encoder/layer.9/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1878" name="FakeQuantize_1408" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26117,13 +25573,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2112">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1947" name="Constant_7561" type="Const" version="opset1">
+		<layer id="1879" name="Constant_7493" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -26131,7 +25587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1948" name="/nncf_module/vit/encoder/layer.9/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1880" name="Transpose_1409" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -26142,13 +25598,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2113">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1949" name="/nncf_module/vit/encoder/layer.9/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1881" name="MatMul_1410" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26162,14 +25618,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2114">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1950" name="/nncf_module/vit/encoder/layer.9/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1882" name="Add_1411" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26182,20 +25638,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_2115">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1951" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="1883" name="Constant_1412" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_2116" />
 			</output>
 		</layer>
-		<layer id="1952" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1884" name="Div_1413" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26206,14 +25662,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_2117">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1953" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1885" name="Erf_1414" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26222,20 +25678,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_2118">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1954" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="1886" name="Constant_1415" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2119" />
 			</output>
 		</layer>
-		<layer id="1955" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1887" name="Add_1416" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26246,14 +25702,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2120">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1956" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1888" name="Mul_1417" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26268,20 +25724,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2121">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1957" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="1889" name="Constant_1418" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_2122" />
 			</output>
 		</layer>
-		<layer id="1958" name="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1890" name="Mul_1419" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26292,14 +25748,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2123">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1959" name="/nncf_module/vit/encoder/layer.9/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1891" name="Constant_1420" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="72106416" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -26308,7 +25764,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1960" name="Convert_39586" type="Convert" version="opset1">
+		<layer id="1892" name="Convert_39508" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -26323,7 +25779,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1961" name="Constant_39523" type="Const" version="opset1">
+		<layer id="1893" name="Constant_39445" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="74465712" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -26332,7 +25788,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1962" name="/nncf_module/vit/encoder/layer.9/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1894" name="FakeQuantize_1423" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26345,13 +25801,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2127">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1963" name="Constant_7577" type="Const" version="opset1">
+		<layer id="1895" name="Constant_7509" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -26359,7 +25815,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1964" name="/nncf_module/vit/encoder/layer.9/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1896" name="Transpose_1424" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -26370,13 +25826,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2128">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1965" name="/nncf_module/vit/encoder/layer.9/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1897" name="MatMul_1425" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26390,14 +25846,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2129">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1966" name="/nncf_module/vit/encoder/layer.9/output/dense/Add" type="Add" version="opset1">
+		<layer id="1898" name="Add_1426" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26410,14 +25866,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2130">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1967" name="/nncf_module/vit/encoder/layer.9/output/Add" type="Add" version="opset1">
+		<layer id="1899" name="Add_1427" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26432,14 +25888,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.9/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.115">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1968" name="Constant_7582" type="Const" version="opset1">
+		<layer id="1900" name="Constant_7514" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26447,7 +25903,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1969" name="/nncf_module/vit/encoder/layer.10/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1901" name="ReduceMean_1428" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26460,14 +25916,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_2132">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1970" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="1902" name="Sub_1429" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26482,20 +25938,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_2133">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1971" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="1903" name="Constant_1430" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_2134" />
 			</output>
 		</layer>
-		<layer id="1972" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="1904" name="Pow_1431" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26506,14 +25962,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_2135">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1973" name="Constant_7587" type="Const" version="opset1">
+		<layer id="1905" name="Constant_7519" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26521,7 +25977,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1974" name="/nncf_module/vit/encoder/layer.10/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1906" name="ReduceMean_1432" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26534,20 +25990,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2136">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1975" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="1907" name="Constant_1433" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2137" />
 			</output>
 		</layer>
-		<layer id="1976" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="1908" name="Add_1434" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26558,14 +26014,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_2138">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1977" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1909" name="Sqrt_1435" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26574,14 +26030,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_2139">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1978" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="1910" name="Div_1436" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26596,14 +26052,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2140">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1979" name="nncf_module.vit.encoder.layer.10.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="1911" name="nncf_module.vit.encoder.layer.10.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="74468784" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.10.layernorm_before.weight">
@@ -26611,7 +26067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1980" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="1912" name="Mul_1437" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26624,14 +26080,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2141">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1981" name="nncf_module.vit.encoder.layer.10.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="1913" name="nncf_module.vit.encoder.layer.10.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="74471856" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.10.layernorm_before.bias">
@@ -26639,7 +26095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1982" name="/nncf_module/vit/encoder/layer.10/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="1914" name="Add_1438" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26652,30 +26108,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.239">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1983" name="/nncf_module/vit/encoder/layer.10/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="1915" name="Constant_1439" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="74474928" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2143">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1984" name="/nncf_module/vit/encoder/layer.10/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="1916" name="Constant_1440" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="74474932" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2144">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1985" name="/nncf_module/vit/encoder/layer.10/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="1917" name="FakeQuantize_1441" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26697,14 +26153,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_2145">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1986" name="/nncf_module/vit/encoder/layer.10/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1918" name="Constant_1442" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="74474936" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -26713,7 +26169,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1987" name="Convert_39707" type="Convert" version="opset1">
+		<layer id="1919" name="Convert_39629" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -26728,7 +26184,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1988" name="Constant_39644" type="Const" version="opset1">
+		<layer id="1920" name="Constant_39566" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="75064760" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -26737,7 +26193,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1989" name="/nncf_module/vit/encoder/layer.10/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1921" name="FakeQuantize_1445" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26750,13 +26206,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2149">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1990" name="Constant_7602" type="Const" version="opset1">
+		<layer id="1922" name="Constant_7534" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -26764,7 +26220,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1991" name="/nncf_module/vit/encoder/layer.10/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="1923" name="Transpose_1446" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -26775,13 +26231,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2150">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1992" name="/nncf_module/vit/encoder/layer.10/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1924" name="MatMul_1447" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26795,14 +26251,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2151">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1993" name="/nncf_module/vit/encoder/layer.10/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="1925" name="Add_1448" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26815,14 +26271,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.243">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1994" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1926" name="Shape_1484" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26832,24 +26288,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2196">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1995" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="1927" name="Constant_1485" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2197" />
 			</output>
 		</layer>
-		<layer id="1996" name="Constant_7888" type="Const" version="opset1">
+		<layer id="1928" name="Constant_7816" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1997" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="1929" name="Gather_1486" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -26859,10 +26315,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2198" />
 			</output>
 		</layer>
-		<layer id="1998" name="Constant_7894" type="Const" version="opset1">
+		<layer id="1930" name="Constant_7822" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26870,7 +26326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1999" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1931" name="Unsqueeze_1490" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -26878,12 +26334,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2204">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2000" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1932" name="Shape_1487" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26893,24 +26349,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2199">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2001" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="1933" name="Constant_1488" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2200" />
 			</output>
 		</layer>
-		<layer id="2002" name="Constant_7892" type="Const" version="opset1">
+		<layer id="1934" name="Constant_7820" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2003" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="1935" name="Gather_1489" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -26920,10 +26376,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2201" />
 			</output>
 		</layer>
-		<layer id="2004" name="Constant_7896" type="Const" version="opset1">
+		<layer id="1936" name="Constant_7824" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26931,7 +26387,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2005" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1937" name="Unsqueeze_1491" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -26939,28 +26395,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2006" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_10_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2205">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2007" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2008" name="/nncf_module/vit/encoder/layer.10/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="1938" name="Concat_1492" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -26977,12 +26417,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2208">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2009" name="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1939" name="Reshape_1493" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26995,7 +26435,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2209">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -27003,7 +26443,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2010" name="Constant_8017" type="Const" version="opset1">
+		<layer id="1940" name="Constant_7943" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -27011,7 +26451,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2011" name="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1941" name="Transpose_1494" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27024,7 +26464,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2210">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -27032,7 +26472,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2012" name="nncf_module.vit.encoder.layer.10.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="1942" name="nncf_module.vit.encoder.layer.10.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="75067832" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.10.attention.attention.key.bias">
@@ -27040,7 +26480,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2013" name="/nncf_module/vit/encoder/layer.10/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1943" name="Constant_1449" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="75070904" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -27049,7 +26489,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2014" name="Convert_39828" type="Convert" version="opset1">
+		<layer id="1944" name="Convert_39750" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -27064,7 +26504,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2015" name="Constant_39765" type="Const" version="opset1">
+		<layer id="1945" name="Constant_39687" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="75660728" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -27073,7 +26513,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2016" name="/nncf_module/vit/encoder/layer.10/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1946" name="FakeQuantize_1452" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27086,13 +26526,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2156">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2017" name="Constant_7610" type="Const" version="opset1">
+		<layer id="1947" name="Constant_7542" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -27100,7 +26540,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2018" name="/nncf_module/vit/encoder/layer.10/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="1948" name="Transpose_1453" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -27111,13 +26551,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2157">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2019" name="/nncf_module/vit/encoder/layer.10/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1949" name="MatMul_1454" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27131,14 +26571,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2158">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2020" name="/nncf_module/vit/encoder/layer.10/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="1950" name="Add_1455" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27151,14 +26591,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.247">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2021" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="1951" name="Shape_1456" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27168,24 +26608,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2160">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2022" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="1952" name="Constant_1457" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2161" />
 			</output>
 		</layer>
-		<layer id="2023" name="Constant_7616" type="Const" version="opset1">
+		<layer id="1953" name="Constant_7548" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2024" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="1954" name="Gather_1458" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27195,10 +26635,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2162" />
 			</output>
 		</layer>
-		<layer id="2025" name="Constant_7622" type="Const" version="opset1">
+		<layer id="1955" name="Constant_7554" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27206,7 +26646,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2026" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1956" name="Unsqueeze_1462" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27214,12 +26654,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2168">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2027" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1957" name="Shape_1459" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27229,24 +26669,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2163">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2028" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="1958" name="Constant_1460" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2164" />
 			</output>
 		</layer>
-		<layer id="2029" name="Constant_7620" type="Const" version="opset1">
+		<layer id="1959" name="Constant_7552" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2030" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="1960" name="Gather_1461" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27256,10 +26696,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2165" />
 			</output>
 		</layer>
-		<layer id="2031" name="Constant_7624" type="Const" version="opset1">
+		<layer id="1961" name="Constant_7556" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27267,7 +26707,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2032" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1962" name="Unsqueeze_1463" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27275,28 +26715,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2033" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2034" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2169">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2035" name="/nncf_module/vit/encoder/layer.10/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="1963" name="Concat_1464" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27313,12 +26737,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2172">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2036" name="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="1964" name="Reshape_1465" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27331,7 +26755,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2173">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -27339,7 +26763,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2037" name="Constant_8019" type="Const" version="opset1">
+		<layer id="1965" name="Constant_7945" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -27347,7 +26771,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2038" name="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1966" name="Transpose_1495" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27360,7 +26784,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2211">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -27368,7 +26792,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2039" name="/nncf_module/vit/encoder/layer.10/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="1967" name="MatMul_1496" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27385,7 +26809,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_2212">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -27393,13 +26817,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2040" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="1968" name="Constant_1497" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_2213" />
 			</output>
 		</layer>
-		<layer id="2041" name="/nncf_module/vit/encoder/layer.10/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="1969" name="Div_1498" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27411,7 +26835,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.119">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -27419,7 +26843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2042" name="ShapeOf_8024" type="ShapeOf" version="opset1">
+		<layer id="1970" name="ShapeOf_7950" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27434,7 +26858,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2043" name="Constant_8027" type="Const" version="opset1">
+		<layer id="1971" name="Constant_7953" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27442,7 +26866,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2044" name="Constant_8026" type="Const" version="opset1">
+		<layer id="1972" name="Constant_7952" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27450,7 +26874,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2045" name="Constant_8028" type="Const" version="opset1">
+		<layer id="1973" name="Constant_7954" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27458,7 +26882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2046" name="StridedSlice_8029" type="StridedSlice" version="opset1">
+		<layer id="1974" name="StridedSlice_7955" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -27480,13 +26904,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2047" name="Constant_8030" type="Const" version="opset1">
+		<layer id="1975" name="Constant_7956" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2048" name="ReduceProd_8031" type="ReduceProd" version="opset1">
+		<layer id="1976" name="ReduceProd_7957" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -27500,7 +26924,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2049" name="Constant_8032" type="Const" version="opset1">
+		<layer id="1977" name="Constant_7958" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27508,7 +26932,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2050" name="Concat_8033" type="Concat" version="opset1">
+		<layer id="1978" name="Concat_7959" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27524,7 +26948,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2051" name="Reshape_8034" type="Reshape" version="opset1">
+		<layer id="1979" name="Reshape_7960" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27544,7 +26968,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2052" name="Softmax_8097" type="SoftMax" version="opset8">
+		<layer id="1980" name="Softmax_8023" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27559,7 +26983,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2053" name="ShapeOf_8098" type="ShapeOf" version="opset3">
+		<layer id="1981" name="ShapeOf_8024" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27575,7 +26999,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2054" name="/nncf_module/vit/encoder/layer.10/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="1982" name="Softmax_1499" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27587,7 +27011,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2215">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -27595,7 +27019,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2055" name="nncf_module.vit.encoder.layer.10.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="1983" name="nncf_module.vit.encoder.layer.10.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="75663800" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.10.attention.attention.value.bias">
@@ -27603,7 +27027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2056" name="/nncf_module/vit/encoder/layer.10/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="1984" name="Constant_1466" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="75666872" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -27612,7 +27036,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2057" name="Convert_39949" type="Convert" version="opset1">
+		<layer id="1985" name="Convert_39871" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -27627,7 +27051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2058" name="Constant_39886" type="Const" version="opset1">
+		<layer id="1986" name="Constant_39808" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="76256696" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -27636,7 +27060,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2059" name="/nncf_module/vit/encoder/layer.10/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1987" name="FakeQuantize_1469" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27649,13 +27073,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2177">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2060" name="Constant_7749" type="Const" version="opset1">
+		<layer id="1988" name="Constant_7679" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -27663,7 +27087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2061" name="/nncf_module/vit/encoder/layer.10/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="1989" name="Transpose_1470" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -27674,13 +27098,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2178">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2062" name="/nncf_module/vit/encoder/layer.10/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1990" name="MatMul_1471" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27694,14 +27118,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2179">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2063" name="/nncf_module/vit/encoder/layer.10/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="1991" name="Add_1472" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27714,14 +27138,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.251">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2064" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1992" name="Shape_1473" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27731,24 +27155,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2181">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2065" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="1993" name="Constant_1474" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2182" />
 			</output>
 		</layer>
-		<layer id="2066" name="Constant_7755" type="Const" version="opset1">
+		<layer id="1994" name="Constant_7685" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2067" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="1995" name="Gather_1475" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27758,10 +27182,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2183" />
 			</output>
 		</layer>
-		<layer id="2068" name="Constant_7761" type="Const" version="opset1">
+		<layer id="1996" name="Constant_7691" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27769,7 +27193,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2069" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1997" name="Unsqueeze_1479" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27777,12 +27201,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2189">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2070" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1998" name="Shape_1476" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27792,24 +27216,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2184">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2071" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="1999" name="Constant_1477" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2185" />
 			</output>
 		</layer>
-		<layer id="2072" name="Constant_7759" type="Const" version="opset1">
+		<layer id="2000" name="Constant_7689" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2073" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="2001" name="Gather_1478" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27819,10 +27243,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2186" />
 			</output>
 		</layer>
-		<layer id="2074" name="Constant_7763" type="Const" version="opset1">
+		<layer id="2002" name="Constant_7693" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27830,7 +27254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2075" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="2003" name="Unsqueeze_1480" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27838,28 +27262,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_3_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2076" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2077" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_7_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2190">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2078" name="/nncf_module/vit/encoder/layer.10/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="2004" name="Concat_1481" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27876,12 +27284,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2193">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2079" name="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2005" name="Reshape_1482" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27894,7 +27302,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2194">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -27902,7 +27310,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2080" name="Constant_7884" type="Const" version="opset1">
+		<layer id="2006" name="Constant_7812" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -27910,7 +27318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2081" name="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="2007" name="Transpose_1483" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27923,7 +27331,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2195">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -27931,7 +27339,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2082" name="/nncf_module/vit/encoder/layer.10/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="2008" name="MatMul_1500" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27948,7 +27356,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.255">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -27956,23 +27364,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2083" name="/nncf_module/vit/encoder/layer.10/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="2009" name="Constant_1501" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="76259768" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2217">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2084" name="/nncf_module/vit/encoder/layer.10/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="2010" name="Constant_1502" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="76259772" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2218">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2085" name="/nncf_module/vit/encoder/layer.10/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="2011" name="FakeQuantize_1503" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27995,7 +27403,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_2219">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -28003,7 +27411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2086" name="Constant_8114" type="Const" version="opset1">
+		<layer id="2012" name="Constant_8040" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -28011,7 +27419,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2087" name="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2013" name="Transpose_1504" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28024,7 +27432,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_2220">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -28032,7 +27440,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2088" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="2014" name="Shape_1505" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28043,24 +27451,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2221">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2089" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="2015" name="Constant_1506" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2222" />
 			</output>
 		</layer>
-		<layer id="2090" name="Constant_8118" type="Const" version="opset1">
+		<layer id="2016" name="Constant_8044" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2091" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="2017" name="Gather_1507" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28070,10 +27478,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2223" />
 			</output>
 		</layer>
-		<layer id="2092" name="Constant_8124" type="Const" version="opset1">
+		<layer id="2018" name="Constant_8050" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28081,7 +27489,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2093" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="2019" name="Unsqueeze_1511" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -28089,12 +27497,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2228">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2094" name="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="2020" name="Shape_1508" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28105,24 +27513,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2224">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2095" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="2021" name="Constant_1509" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2225" />
 			</output>
 		</layer>
-		<layer id="2096" name="Constant_8122" type="Const" version="opset1">
+		<layer id="2022" name="Constant_8048" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2097" name="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="2023" name="Gather_1510" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28132,10 +27540,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2226" />
 			</output>
 		</layer>
-		<layer id="2098" name="Constant_8126" type="Const" version="opset1">
+		<layer id="2024" name="Constant_8052" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28143,7 +27551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2099" name="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="2025" name="Unsqueeze_1512" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -28151,20 +27559,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2100" name="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2229">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2101" name="/nncf_module/vit/encoder/layer.10/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="2026" name="Concat_1513" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28178,12 +27578,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.10/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_2231">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2102" name="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="2027" name="Reshape_1514" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28197,14 +27597,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2232">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2103" name="/nncf_module/vit/encoder/layer.10/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2028" name="Constant_15150" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="76259776" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -28213,7 +27613,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2104" name="Convert_40070" type="Convert" version="opset1">
+		<layer id="2029" name="Convert_39992" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -28228,7 +27628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2105" name="Constant_40007" type="Const" version="opset1">
+		<layer id="2030" name="Constant_39929" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="76849600" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -28237,7 +27637,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2106" name="/nncf_module/vit/encoder/layer.10/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2031" name="FakeQuantize_1518" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28250,13 +27650,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2236">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2107" name="Constant_8244" type="Const" version="opset1">
+		<layer id="2032" name="Constant_8169" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -28264,7 +27664,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2108" name="/nncf_module/vit/encoder/layer.10/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="2033" name="Transpose_1519" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -28275,13 +27675,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2237">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2109" name="/nncf_module/vit/encoder/layer.10/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="2034" name="MatMul_1520" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28295,14 +27695,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2238">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2110" name="/nncf_module/vit/encoder/layer.10/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="2035" name="Add_1521" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28315,14 +27715,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2239">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2111" name="/nncf_module/vit/encoder/layer.10/Add" type="Add" version="opset1">
+		<layer id="2036" name="Add_1522" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28337,14 +27737,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/Add_output_0">
+				<port id="2" precision="FP32" names="input.123">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2112" name="Constant_8249" type="Const" version="opset1">
+		<layer id="2037" name="Constant_8174" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28352,7 +27752,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2113" name="/nncf_module/vit/encoder/layer.10/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="2038" name="ReduceMean_1523" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28365,14 +27765,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_2241">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2114" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="2039" name="Sub_1524" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28387,20 +27787,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_2242">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2115" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="2040" name="Constant_1525" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_2243" />
 			</output>
 		</layer>
-		<layer id="2116" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="2041" name="Pow_1526" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28411,14 +27811,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_2244">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2117" name="Constant_8254" type="Const" version="opset1">
+		<layer id="2042" name="Constant_8179" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28426,7 +27826,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2118" name="/nncf_module/vit/encoder/layer.10/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="2043" name="ReduceMean_1527" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28439,20 +27839,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2245">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2119" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="2044" name="Constant_1528" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2246" />
 			</output>
 		</layer>
-		<layer id="2120" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="2045" name="Add_1529" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28463,14 +27863,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_2247">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2121" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="2046" name="Sqrt_1530" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28479,14 +27879,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_2248">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2122" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="2047" name="Div_1531" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28501,14 +27901,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2249">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2123" name="nncf_module.vit.encoder.layer.10.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="2048" name="nncf_module.vit.encoder.layer.10.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="76852672" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.10.layernorm_after.weight">
@@ -28516,7 +27916,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2124" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="2049" name="Mul_1532" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28529,14 +27929,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2250">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2125" name="nncf_module.vit.encoder.layer.10.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="2050" name="nncf_module.vit.encoder.layer.10.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="76855744" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.10.layernorm_after.bias">
@@ -28544,7 +27944,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2126" name="/nncf_module/vit/encoder/layer.10/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="2051" name="Add_1533" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28557,30 +27957,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.259">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2127" name="/nncf_module/vit/encoder/layer.10/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="2052" name="Constant_1534" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="76858816" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2252">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2128" name="/nncf_module/vit/encoder/layer.10/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="2053" name="Constant_1535" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="76858820" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2253">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2129" name="/nncf_module/vit/encoder/layer.10/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="2054" name="FakeQuantize_1536" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28602,14 +28002,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.10/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[10]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_2254">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2130" name="/nncf_module/vit/encoder/layer.10/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2055" name="Constant_1537" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="76858824" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -28618,7 +28018,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2131" name="Convert_40191" type="Convert" version="opset1">
+		<layer id="2056" name="Convert_40113" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -28633,7 +28033,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2132" name="Constant_40128" type="Const" version="opset1">
+		<layer id="2057" name="Constant_40050" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="79218120" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -28642,7 +28042,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2133" name="/nncf_module/vit/encoder/layer.10/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2058" name="FakeQuantize_1540" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28655,13 +28055,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2258">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2134" name="Constant_8269" type="Const" version="opset1">
+		<layer id="2059" name="Constant_8194" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -28669,7 +28069,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2135" name="/nncf_module/vit/encoder/layer.10/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="2060" name="Transpose_1541" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -28680,13 +28080,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2259">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2136" name="/nncf_module/vit/encoder/layer.10/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="2061" name="MatMul_1542" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28700,14 +28100,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2260">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2137" name="/nncf_module/vit/encoder/layer.10/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="2062" name="Add_1543" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28720,20 +28120,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_2261">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2138" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="2063" name="Constant_1544" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_2262" />
 			</output>
 		</layer>
-		<layer id="2139" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="2064" name="Div_1545" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28744,14 +28144,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_2263">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2140" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="2065" name="Erf_1546" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28760,20 +28160,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_2264">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2141" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="2066" name="Constant_1547" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2265" />
 			</output>
 		</layer>
-		<layer id="2142" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="2067" name="Add_1548" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28784,14 +28184,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2266">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2143" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="2068" name="Mul_1549" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28806,20 +28206,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2267">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2144" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="2069" name="Constant_1550" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_2268" />
 			</output>
 		</layer>
-		<layer id="2145" name="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="2070" name="Mul_1551" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28830,14 +28230,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2269">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2146" name="/nncf_module/vit/encoder/layer.10/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2071" name="Constant_1552" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="79230408" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -28846,7 +28246,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2147" name="Convert_40312" type="Convert" version="opset1">
+		<layer id="2072" name="Convert_40234" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -28861,7 +28261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2148" name="Constant_40249" type="Const" version="opset1">
+		<layer id="2073" name="Constant_40171" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="81589704" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -28870,7 +28270,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2149" name="/nncf_module/vit/encoder/layer.10/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2074" name="FakeQuantize_1555" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28883,13 +28283,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2273">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2150" name="Constant_8285" type="Const" version="opset1">
+		<layer id="2075" name="Constant_8210" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -28897,7 +28297,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2151" name="/nncf_module/vit/encoder/layer.10/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="2076" name="Transpose_1556" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -28908,13 +28308,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2274">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2152" name="/nncf_module/vit/encoder/layer.10/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="2077" name="MatMul_1557" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28928,14 +28328,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2275">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2153" name="/nncf_module/vit/encoder/layer.10/output/dense/Add" type="Add" version="opset1">
+		<layer id="2078" name="Add_1558" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28948,14 +28348,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2276">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2154" name="/nncf_module/vit/encoder/layer.10/output/Add" type="Add" version="opset1">
+		<layer id="2079" name="Add_1559" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28970,14 +28370,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.10/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.127">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2155" name="Constant_8290" type="Const" version="opset1">
+		<layer id="2080" name="Constant_8215" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28985,7 +28385,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2156" name="/nncf_module/vit/encoder/layer.11/layernorm_before/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="2081" name="ReduceMean_1560" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28998,14 +28398,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_2278">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2157" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Sub" type="Subtract" version="opset1">
+		<layer id="2082" name="Sub_1561" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29020,20 +28420,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_2279">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2158" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Constant" type="Const" version="opset1">
+		<layer id="2083" name="Constant_1562" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_2280" />
 			</output>
 		</layer>
-		<layer id="2159" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Pow" type="Power" version="opset1">
+		<layer id="2084" name="Pow_1563" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29044,14 +28444,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_2281">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2160" name="Constant_8295" type="Const" version="opset1">
+		<layer id="2085" name="Constant_8220" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29059,7 +28459,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2161" name="/nncf_module/vit/encoder/layer.11/layernorm_before/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="2086" name="ReduceMean_1564" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29072,20 +28472,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2282">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2162" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Constant_1" type="Const" version="opset1">
+		<layer id="2087" name="Constant_1565" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2283" />
 			</output>
 		</layer>
-		<layer id="2163" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Add" type="Add" version="opset1">
+		<layer id="2088" name="Add_1566" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29096,14 +28496,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_2284">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2164" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Sqrt" type="Sqrt" version="opset1">
+		<layer id="2089" name="Sqrt_1567" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29112,14 +28512,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_2285">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2165" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Div" type="Divide" version="opset1">
+		<layer id="2090" name="Div_1568" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29134,14 +28534,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2286">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2166" name="nncf_module.vit.encoder.layer.11.layernorm_before.weight" type="Const" version="opset1">
+		<layer id="2091" name="nncf_module.vit.encoder.layer.11.layernorm_before.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="81592776" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.11.layernorm_before.weight">
@@ -29149,7 +28549,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2167" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Mul" type="Multiply" version="opset1">
+		<layer id="2092" name="Mul_1569" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29162,14 +28562,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2287">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2168" name="nncf_module.vit.encoder.layer.11.layernorm_before.bias" type="Const" version="opset1">
+		<layer id="2093" name="nncf_module.vit.encoder.layer.11.layernorm_before.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="81595848" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.11.layernorm_before.bias">
@@ -29177,7 +28577,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2169" name="/nncf_module/vit/encoder/layer.11/layernorm_before/Add_1" type="Add" version="opset1">
+		<layer id="2094" name="Add_1570" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29190,30 +28590,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.263">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2170" name="/nncf_module/vit/encoder/layer.11/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="2095" name="Constant_1571" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="81598920" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2289">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2171" name="/nncf_module/vit/encoder/layer.11/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="2096" name="Constant_1572" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="81598924" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2290">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2172" name="/nncf_module/vit/encoder/layer.11/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="2097" name="FakeQuantize_1573" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29235,14 +28635,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_before/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_before]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_2291">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2173" name="/nncf_module/vit/encoder/layer.11/attention/attention/query/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2098" name="Constant_1574" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="81598928" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -29251,7 +28651,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2174" name="Convert_40433" type="Convert" version="opset1">
+		<layer id="2099" name="Convert_40355" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -29266,7 +28666,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2175" name="Constant_40370" type="Const" version="opset1">
+		<layer id="2100" name="Constant_40292" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="82188752" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -29275,7 +28675,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2176" name="/nncf_module/vit/encoder/layer.11/attention/attention/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2101" name="FakeQuantize_1577" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29288,13 +28688,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/query/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2295">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2177" name="Constant_8310" type="Const" version="opset1">
+		<layer id="2102" name="Constant_8235" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -29302,7 +28702,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2178" name="/nncf_module/vit/encoder/layer.11/attention/attention/query/Transpose" type="Transpose" version="opset1">
+		<layer id="2103" name="Transpose_1578" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -29313,13 +28713,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/query/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2296">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2179" name="/nncf_module/vit/encoder/layer.11/attention/attention/query/MatMul" type="MatMul" version="opset1">
+		<layer id="2104" name="MatMul_1579" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29333,14 +28733,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2297">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2180" name="/nncf_module/vit/encoder/layer.11/attention/attention/query/Add" type="Add" version="opset1">
+		<layer id="2105" name="Add_1580" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29353,14 +28753,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/query/Add_output_0">
+				<port id="2" precision="FP32" names="x.267">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2181" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="2106" name="Shape_1616" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29370,24 +28770,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_4_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2342">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2182" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_8" type="Const" version="opset1">
+		<layer id="2107" name="Constant_1617" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_8_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2343" />
 			</output>
 		</layer>
-		<layer id="2183" name="Constant_8596" type="Const" version="opset1">
+		<layer id="2108" name="Constant_8517" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2184" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_4" type="Gather" version="opset8">
+		<layer id="2109" name="Gather_1618" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29397,10 +28797,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_4_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2344" />
 			</output>
 		</layer>
-		<layer id="2185" name="Constant_8602" type="Const" version="opset1">
+		<layer id="2110" name="Constant_8523" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29408,7 +28808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2186" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="2111" name="Unsqueeze_1622" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -29416,12 +28816,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_4_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2350">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2187" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="2112" name="Shape_1619" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29431,24 +28831,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_5_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2345">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2188" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_9" type="Const" version="opset1">
+		<layer id="2113" name="Constant_1620" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_9_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2346" />
 			</output>
 		</layer>
-		<layer id="2189" name="Constant_8600" type="Const" version="opset1">
+		<layer id="2114" name="Constant_8521" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2190" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_5" type="Gather" version="opset8">
+		<layer id="2115" name="Gather_1621" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29458,10 +28858,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_5_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2347" />
 			</output>
 		</layer>
-		<layer id="2191" name="Constant_8604" type="Const" version="opset1">
+		<layer id="2116" name="Constant_8525" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29469,7 +28869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2192" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="2117" name="Unsqueeze_1623" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -29477,28 +28877,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_5_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2193" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_10_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2351">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2194" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_11_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2195" name="/nncf_module/vit/encoder/layer.11/attention/attention/Concat_2" type="Concat" version="opset1">
+		<layer id="2118" name="Concat_1624" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29515,12 +28899,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Concat_2_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2354">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2196" name="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape_2" type="Reshape" version="opset1">
+		<layer id="2119" name="Reshape_1625" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29533,7 +28917,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2355">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -29541,7 +28925,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2197" name="Constant_8725" type="Const" version="opset1">
+		<layer id="2120" name="Constant_8644" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -29549,7 +28933,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2198" name="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2121" name="Transpose_1626" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29562,7 +28946,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2356">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -29570,7 +28954,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2199" name="nncf_module.vit.encoder.layer.11.attention.attention.key.bias" type="Const" version="opset1">
+		<layer id="2122" name="nncf_module.vit.encoder.layer.11.attention.attention.key.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="82191824" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.11.attention.attention.key.bias">
@@ -29578,7 +28962,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2200" name="/nncf_module/vit/encoder/layer.11/attention/attention/key/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2123" name="Constant_1581" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="82194896" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -29587,7 +28971,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2201" name="Convert_40554" type="Convert" version="opset1">
+		<layer id="2124" name="Convert_40476" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -29602,7 +28986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2202" name="Constant_40491" type="Const" version="opset1">
+		<layer id="2125" name="Constant_40413" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="82784720" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -29611,7 +28995,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2203" name="/nncf_module/vit/encoder/layer.11/attention/attention/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2126" name="FakeQuantize_1584" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29624,13 +29008,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/key/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2302">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2204" name="Constant_8318" type="Const" version="opset1">
+		<layer id="2127" name="Constant_8243" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -29638,7 +29022,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2205" name="/nncf_module/vit/encoder/layer.11/attention/attention/key/Transpose" type="Transpose" version="opset1">
+		<layer id="2128" name="Transpose_1585" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -29649,13 +29033,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/key/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2303">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2206" name="/nncf_module/vit/encoder/layer.11/attention/attention/key/MatMul" type="MatMul" version="opset1">
+		<layer id="2129" name="MatMul_1586" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29669,14 +29053,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/key/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2304">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2207" name="/nncf_module/vit/encoder/layer.11/attention/attention/key/Add" type="Add" version="opset1">
+		<layer id="2130" name="Add_1587" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29689,14 +29073,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/key/Add_output_0">
+				<port id="2" precision="FP32" names="x.271">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2208" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape" type="ShapeOf" version="opset3">
+		<layer id="2131" name="Shape_1588" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29706,24 +29090,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2306">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2209" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant" type="Const" version="opset1">
+		<layer id="2132" name="Constant_1589" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2307" />
 			</output>
 		</layer>
-		<layer id="2210" name="Constant_8324" type="Const" version="opset1">
+		<layer id="2133" name="Constant_8249" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2211" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather" type="Gather" version="opset8">
+		<layer id="2134" name="Gather_1590" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29733,10 +29117,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2308" />
 			</output>
 		</layer>
-		<layer id="2212" name="Constant_8330" type="Const" version="opset1">
+		<layer id="2135" name="Constant_8255" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29744,7 +29128,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2213" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2136" name="Unsqueeze_1594" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -29752,12 +29136,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2314">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2214" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="2137" name="Shape_1591" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29767,24 +29151,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_1_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2309">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2215" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_1" type="Const" version="opset1">
+		<layer id="2138" name="Constant_1592" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_1_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2310" />
 			</output>
 		</layer>
-		<layer id="2216" name="Constant_8328" type="Const" version="opset1">
+		<layer id="2139" name="Constant_8253" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2217" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_1" type="Gather" version="opset8">
+		<layer id="2140" name="Gather_1593" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29794,10 +29178,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_1_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2311" />
 			</output>
 		</layer>
-		<layer id="2218" name="Constant_8332" type="Const" version="opset1">
+		<layer id="2141" name="Constant_8257" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29805,7 +29189,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2219" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2142" name="Unsqueeze_1595" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -29813,28 +29197,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2220" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_2_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2221" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2315">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2222" name="/nncf_module/vit/encoder/layer.11/attention/attention/Concat" type="Concat" version="opset1">
+		<layer id="2143" name="Concat_1596" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29851,12 +29219,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Concat_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2318">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2223" name="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape" type="Reshape" version="opset1">
+		<layer id="2144" name="Reshape_1597" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29869,7 +29237,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2319">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -29877,7 +29245,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2224" name="Constant_8727" type="Const" version="opset1">
+		<layer id="2145" name="Constant_8646" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="4423816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -29885,7 +29253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2225" name="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2146" name="Transpose_1627" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29898,7 +29266,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2357">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>64</dim>
@@ -29906,7 +29274,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2226" name="/nncf_module/vit/encoder/layer.11/attention/attention/MatMul" type="MatMul" version="opset1">
+		<layer id="2147" name="MatMul_1628" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29923,7 +29291,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_2358">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -29931,13 +29299,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2227" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_12" type="Const" version="opset1">
+		<layer id="2148" name="Constant_1629" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="4423848" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_12_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_2359" />
 			</output>
 		</layer>
-		<layer id="2228" name="/nncf_module/vit/encoder/layer.11/attention/attention/Div" type="Divide" version="opset1">
+		<layer id="2149" name="Div_1630" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29949,7 +29317,7 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Div_output_0">
+				<port id="2" precision="FP32" names="input.131">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -29957,7 +29325,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2229" name="ShapeOf_8732" type="ShapeOf" version="opset1">
+		<layer id="2150" name="ShapeOf_8651" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29972,7 +29340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2230" name="Constant_8735" type="Const" version="opset1">
+		<layer id="2151" name="Constant_8654" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29980,7 +29348,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2231" name="Constant_8734" type="Const" version="opset1">
+		<layer id="2152" name="Constant_8653" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4423852" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29988,7 +29356,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2232" name="Constant_8736" type="Const" version="opset1">
+		<layer id="2153" name="Constant_8655" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29996,7 +29364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2233" name="StridedSlice_8737" type="StridedSlice" version="opset1">
+		<layer id="2154" name="StridedSlice_8656" type="StridedSlice" version="opset1">
 			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
 			<input>
 				<port id="0" precision="I64">
@@ -30018,13 +29386,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2234" name="Constant_8738" type="Const" version="opset1">
+		<layer id="2155" name="Constant_8657" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2235" name="ReduceProd_8739" type="ReduceProd" version="opset1">
+		<layer id="2156" name="ReduceProd_8658" type="ReduceProd" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="I64">
@@ -30038,7 +29406,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2236" name="Constant_8740" type="Const" version="opset1">
+		<layer id="2157" name="Constant_8659" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30046,7 +29414,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2237" name="Concat_8741" type="Concat" version="opset1">
+		<layer id="2158" name="Concat_8660" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30062,7 +29430,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2238" name="Reshape_8742" type="Reshape" version="opset1">
+		<layer id="2159" name="Reshape_8661" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30082,7 +29450,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2239" name="Softmax_8805" type="SoftMax" version="opset8">
+		<layer id="2160" name="Softmax_8724" type="SoftMax" version="opset8">
 			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30097,7 +29465,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2240" name="ShapeOf_8806" type="ShapeOf" version="opset3">
+		<layer id="2161" name="ShapeOf_8725" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30113,7 +29481,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2241" name="/nncf_module/vit/encoder/layer.11/attention/attention/Softmax" type="Reshape" version="opset1">
+		<layer id="2162" name="Softmax_1631" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30125,7 +29493,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Softmax_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2361">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -30133,7 +29501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2242" name="nncf_module.vit.encoder.layer.11.attention.attention.value.bias" type="Const" version="opset1">
+		<layer id="2163" name="nncf_module.vit.encoder.layer.11.attention.attention.value.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="82787792" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.11.attention.attention.value.bias">
@@ -30141,7 +29509,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2243" name="/nncf_module/vit/encoder/layer.11/attention/attention/value/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2164" name="Constant_1598" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="82790864" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -30150,7 +29518,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2244" name="Convert_40675" type="Convert" version="opset1">
+		<layer id="2165" name="Convert_40597" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -30165,7 +29533,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2245" name="Constant_40612" type="Const" version="opset1">
+		<layer id="2166" name="Constant_40534" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="83380688" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -30174,7 +29542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2246" name="/nncf_module/vit/encoder/layer.11/attention/attention/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2167" name="FakeQuantize_1601" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30187,13 +29555,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/value/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2323">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2247" name="Constant_8457" type="Const" version="opset1">
+		<layer id="2168" name="Constant_8380" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -30201,7 +29569,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2248" name="/nncf_module/vit/encoder/layer.11/attention/attention/value/Transpose" type="Transpose" version="opset1">
+		<layer id="2169" name="Transpose_1602" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -30212,13 +29580,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/value/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2324">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2249" name="/nncf_module/vit/encoder/layer.11/attention/attention/value/MatMul" type="MatMul" version="opset1">
+		<layer id="2170" name="MatMul_1603" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30232,14 +29600,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/value/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2325">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2250" name="/nncf_module/vit/encoder/layer.11/attention/attention/value/Add" type="Add" version="opset1">
+		<layer id="2171" name="Add_1604" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30252,14 +29620,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/value/Add_output_0">
+				<port id="2" precision="FP32" names="x.275">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2251" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="2172" name="Shape_1605" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30269,24 +29637,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_2_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2327">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2252" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_4" type="Const" version="opset1">
+		<layer id="2173" name="Constant_1606" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_4_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2328" />
 			</output>
 		</layer>
-		<layer id="2253" name="Constant_8463" type="Const" version="opset1">
+		<layer id="2174" name="Constant_8386" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2254" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_2" type="Gather" version="opset8">
+		<layer id="2175" name="Gather_1607" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30296,10 +29664,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_2_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2329" />
 			</output>
 		</layer>
-		<layer id="2255" name="Constant_8469" type="Const" version="opset1">
+		<layer id="2176" name="Constant_8392" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30307,7 +29675,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2256" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="2177" name="Unsqueeze_1611" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30315,12 +29683,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2335">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2257" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="2178" name="Shape_1608" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30330,24 +29698,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_3_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2330">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2258" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_5" type="Const" version="opset1">
+		<layer id="2179" name="Constant_1609" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_5_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2331" />
 			</output>
 		</layer>
-		<layer id="2259" name="Constant_8467" type="Const" version="opset1">
+		<layer id="2180" name="Constant_8390" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2260" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_3" type="Gather" version="opset8">
+		<layer id="2181" name="Gather_1610" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30357,10 +29725,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_3_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2332" />
 			</output>
 		</layer>
-		<layer id="2261" name="Constant_8471" type="Const" version="opset1">
+		<layer id="2182" name="Constant_8394" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30368,7 +29736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2262" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="2183" name="Unsqueeze_1612" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30376,28 +29744,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_3_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2336">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2263" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827800" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2264" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3827808" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2265" name="/nncf_module/vit/encoder/layer.11/attention/attention/Concat_1" type="Concat" version="opset1">
+		<layer id="2184" name="Concat_1613" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30414,12 +29766,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Concat_1_output_0">
+				<port id="4" precision="I64" names="onnx::Reshape_2339">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2266" name="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2185" name="Reshape_1614" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30432,7 +29784,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2340">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -30440,7 +29792,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2267" name="Constant_8592" type="Const" version="opset1">
+		<layer id="2186" name="Constant_8513" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -30448,7 +29800,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2268" name="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose" type="Transpose" version="opset1">
+		<layer id="2187" name="Transpose_1615" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30461,7 +29813,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2341">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -30469,7 +29821,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2269" name="/nncf_module/vit/encoder/layer.11/attention/attention/MatMul_1" type="MatMul" version="opset1">
+		<layer id="2188" name="MatMul_1632" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30486,7 +29838,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="x.279">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -30494,23 +29846,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2270" name="/nncf_module/vit/encoder/layer.11/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="2189" name="Constant_1633" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="83383760" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2363">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2271" name="/nncf_module/vit/encoder/layer.11/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="2190" name="Constant_16340" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="83383764" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2364">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2272" name="/nncf_module/vit/encoder/layer.11/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="2191" name="FakeQuantize_1635" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30533,7 +29885,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/ViTAttention[attention]/ViTSelfAttention[attention]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Transpose_2365">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>197</dim>
@@ -30541,7 +29893,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2273" name="Constant_8822" type="Const" version="opset1">
+		<layer id="2192" name="Constant_8741" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="3827816" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -30549,7 +29901,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2274" name="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2193" name="Transpose_1636" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30562,7 +29914,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="onnx::Shape_2366">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>12</dim>
@@ -30570,7 +29922,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2275" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="2194" name="Shape_1637" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30581,24 +29933,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_6_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2367">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2276" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_13" type="Const" version="opset1">
+		<layer id="2195" name="Constant_1638" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_13_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2368" />
 			</output>
 		</layer>
-		<layer id="2277" name="Constant_8826" type="Const" version="opset1">
+		<layer id="2196" name="Constant_8745" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2278" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_6" type="Gather" version="opset8">
+		<layer id="2197" name="Gather_1639" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30608,10 +29960,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_6_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2369" />
 			</output>
 		</layer>
-		<layer id="2279" name="Constant_8832" type="Const" version="opset1">
+		<layer id="2198" name="Constant_8751" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30619,7 +29971,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2280" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="2199" name="Unsqueeze_1643" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30627,12 +29979,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_6_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2374">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2281" name="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="2200" name="Shape_1640" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30643,24 +29995,24 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Shape_7_output_0">
+				<port id="1" precision="I64" names="onnx::Gather_2370">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2282" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_14" type="Const" version="opset1">
+		<layer id="2201" name="Constant_1641" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_14_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2371" />
 			</output>
 		</layer>
-		<layer id="2283" name="Constant_8830" type="Const" version="opset1">
+		<layer id="2202" name="Constant_8749" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2284" name="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_7" type="Gather" version="opset8">
+		<layer id="2203" name="Gather_1642" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30670,10 +30022,10 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Gather_7_output_0" />
+				<port id="3" precision="I64" names="onnx::Unsqueeze_2372" />
 			</output>
 		</layer>
-		<layer id="2285" name="Constant_8834" type="Const" version="opset1">
+		<layer id="2204" name="Constant_8753" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261120" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30681,7 +30033,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2286" name="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="2205" name="Unsqueeze_1644" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30689,20 +30041,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Unsqueeze_7_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2287" name="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="5019836" size="8" />
-			<output>
-				<port id="0" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Constant_15_output_0">
+				<port id="2" precision="I64" names="onnx::Concat_2375">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2288" name="/nncf_module/vit/encoder/layer.11/attention/attention/Concat_3" type="Concat" version="opset1">
+		<layer id="2206" name="Concat_1645" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30716,12 +30060,12 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/nncf_module/vit/encoder/layer.11/attention/attention/Concat_3_output_0">
+				<port id="3" precision="I64" names="onnx::Reshape_2377">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2289" name="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape_3" type="Reshape" version="opset1">
+		<layer id="2207" name="Reshape_1646" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30735,14 +30079,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/attention/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2378">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2290" name="/nncf_module/vit/encoder/layer.11/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2208" name="Constant_16470" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 768" offset="83383768" size="589824" />
 			<output>
 				<port id="0" precision="I8">
@@ -30751,7 +30095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2291" name="Convert_40796" type="Convert" version="opset1">
+		<layer id="2209" name="Convert_40718" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -30766,7 +30110,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2292" name="Constant_40733" type="Const" version="opset1">
+		<layer id="2210" name="Constant_40655" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="83973592" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -30775,7 +30119,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2293" name="/nncf_module/vit/encoder/layer.11/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2211" name="FakeQuantize_1650" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30788,13 +30132,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2382">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2294" name="Constant_8952" type="Const" version="opset1">
+		<layer id="2212" name="Constant_8870" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -30802,7 +30146,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2295" name="/nncf_module/vit/encoder/layer.11/attention/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="2213" name="Transpose_1651" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -30813,13 +30157,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2383">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2296" name="/nncf_module/vit/encoder/layer.11/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="2214" name="MatMul_1652" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30833,14 +30177,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2384">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2297" name="/nncf_module/vit/encoder/layer.11/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="2215" name="Add_1653" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30853,14 +30197,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2385">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2298" name="/nncf_module/vit/encoder/layer.11/Add" type="Add" version="opset1">
+		<layer id="2216" name="Add_1654" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30875,14 +30219,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/Add_output_0">
+				<port id="2" precision="FP32" names="input.135">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2299" name="Constant_8957" type="Const" version="opset1">
+		<layer id="2217" name="Constant_8875" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30890,7 +30234,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2300" name="/nncf_module/vit/encoder/layer.11/layernorm_after/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="2218" name="ReduceMean_1655" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30903,14 +30247,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_2387">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2301" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Sub" type="Subtract" version="opset1">
+		<layer id="2219" name="Sub_1656" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30925,20 +30269,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_2388">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2302" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Constant" type="Const" version="opset1">
+		<layer id="2220" name="Constant_1657" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_2389" />
 			</output>
 		</layer>
-		<layer id="2303" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Pow" type="Power" version="opset1">
+		<layer id="2221" name="Pow_1658" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30949,14 +30293,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_2390">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2304" name="Constant_8962" type="Const" version="opset1">
+		<layer id="2222" name="Constant_8880" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30964,7 +30308,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2305" name="/nncf_module/vit/encoder/layer.11/layernorm_after/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="2223" name="ReduceMean_1659" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30977,20 +30321,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2391">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2306" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Constant_1" type="Const" version="opset1">
+		<layer id="2224" name="Constant_1660" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2392" />
 			</output>
 		</layer>
-		<layer id="2307" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Add" type="Add" version="opset1">
+		<layer id="2225" name="Add_1661" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31001,14 +30345,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_2393">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2308" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Sqrt" type="Sqrt" version="opset1">
+		<layer id="2226" name="Sqrt_1662" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31017,14 +30361,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_2394">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2309" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Div" type="Divide" version="opset1">
+		<layer id="2227" name="Div_1663" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31039,14 +30383,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2395">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2310" name="nncf_module.vit.encoder.layer.11.layernorm_after.weight" type="Const" version="opset1">
+		<layer id="2228" name="nncf_module.vit.encoder.layer.11.layernorm_after.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="83976664" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.11.layernorm_after.weight">
@@ -31054,7 +30398,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2311" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Mul" type="Multiply" version="opset1">
+		<layer id="2229" name="Mul_1664" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31067,14 +30411,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2396">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2312" name="nncf_module.vit.encoder.layer.11.layernorm_after.bias" type="Const" version="opset1">
+		<layer id="2230" name="nncf_module.vit.encoder.layer.11.layernorm_after.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="83979736" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.encoder.layer.11.layernorm_after.bias">
@@ -31082,7 +30426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2313" name="/nncf_module/vit/encoder/layer.11/layernorm_after/Add_1" type="Add" version="opset1">
+		<layer id="2231" name="Add_1665" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31095,30 +30439,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.283">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2314" name="/nncf_module/vit/encoder/layer.11/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="2232" name="Constant_1666" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="83982808" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2398">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2315" name="/nncf_module/vit/encoder/layer.11/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="2233" name="Constant_1667" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="83982812" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2399">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2316" name="/nncf_module/vit/encoder/layer.11/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="2234" name="FakeQuantize_1668" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31140,14 +30484,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/encoder/layer.11/layernorm_after/ViTForImageClassification/ViTModel[vit]/ViTEncoder[encoder]/ModuleList[layer]/ViTLayer[11]/LayerNorm[layernorm_after]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::MatMul_2400">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2317" name="/nncf_module/vit/encoder/layer.11/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2235" name="Constant_1669" type="Const" version="opset1">
 			<data element_type="i8" shape="3072, 768" offset="83982816" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -31156,7 +30500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2318" name="Convert_40917" type="Convert" version="opset1">
+		<layer id="2236" name="Convert_40839" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -31171,7 +30515,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2319" name="Constant_40854" type="Const" version="opset1">
+		<layer id="2237" name="Constant_40776" type="Const" version="opset1">
 			<data element_type="f32" shape="3072, 1" offset="86342112" size="12288" />
 			<output>
 				<port id="0" precision="FP32">
@@ -31180,7 +30524,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2320" name="/nncf_module/vit/encoder/layer.11/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2238" name="FakeQuantize_1672" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31193,13 +30537,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2404">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2321" name="Constant_8977" type="Const" version="opset1">
+		<layer id="2239" name="Constant_8895" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -31207,7 +30551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2322" name="/nncf_module/vit/encoder/layer.11/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="2240" name="Transpose_1673" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
@@ -31218,13 +30562,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2405">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2323" name="/nncf_module/vit/encoder/layer.11/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="2241" name="MatMul_1674" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31238,14 +30582,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2406">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2324" name="/nncf_module/vit/encoder/layer.11/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="2242" name="Add_1675" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31258,20 +30602,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Div_2407">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2325" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+		<layer id="2243" name="Constant_1676" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990476" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Div_2408" />
 			</output>
 		</layer>
-		<layer id="2326" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="2244" name="Div_1677" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31282,14 +30626,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Erf_2409">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2327" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="2245" name="Erf_1678" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31298,20 +30642,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Erf_output_0">
+				<port id="1" precision="FP32" names="onnx::Add_2410">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2328" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+		<layer id="2246" name="Constant_1679" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2411" />
 			</output>
 		</layer>
-		<layer id="2329" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="2247" name="Add_1680" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31322,14 +30666,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2412">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2330" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="2248" name="Mul_1681" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31344,20 +30688,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2413">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2331" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+		<layer id="2249" name="Constant_1682" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990484" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="onnx::Mul_2414" />
 			</output>
 		</layer>
-		<layer id="2332" name="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="2250" name="Mul_1683" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31368,14 +30712,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2415">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2333" name="/nncf_module/vit/encoder/layer.11/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2251" name="Constant_1684" type="Const" version="opset1">
 			<data element_type="i8" shape="768, 3072" offset="86354400" size="2359296" />
 			<output>
 				<port id="0" precision="I8">
@@ -31384,7 +30728,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2334" name="Convert_41038" type="Convert" version="opset1">
+		<layer id="2252" name="Convert_40960" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -31399,7 +30743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2335" name="Constant_40975" type="Const" version="opset1">
+		<layer id="2253" name="Constant_40897" type="Const" version="opset1">
 			<data element_type="f32" shape="768, 1" offset="88713696" size="3072" />
 			<output>
 				<port id="0" precision="FP32">
@@ -31408,7 +30752,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2336" name="/nncf_module/vit/encoder/layer.11/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2254" name="FakeQuantize_1687" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31421,13 +30765,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/output/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Transpose_2419">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2337" name="Constant_8993" type="Const" version="opset1">
+		<layer id="2255" name="Constant_8911" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="3827784" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -31435,7 +30779,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2338" name="/nncf_module/vit/encoder/layer.11/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="2256" name="Transpose_1688" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>768</dim>
@@ -31446,13 +30790,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="onnx::MatMul_2420">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2339" name="/nncf_module/vit/encoder/layer.11/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="2257" name="MatMul_1689" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31466,14 +30810,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2421">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2340" name="/nncf_module/vit/encoder/layer.11/output/dense/Add" type="Add" version="opset1">
+		<layer id="2258" name="Add_1690" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31486,14 +30830,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2422">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2341" name="/nncf_module/vit/encoder/layer.11/output/Add" type="Add" version="opset1">
+		<layer id="2259" name="Add_1691" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31508,14 +30852,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/encoder/layer.11/output/Add_output_0">
+				<port id="2" precision="FP32" names="input.139">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2342" name="Constant_8998" type="Const" version="opset1">
+		<layer id="2260" name="Constant_8916" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -31523,7 +30867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2343" name="/nncf_module/vit/layernorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="2261" name="ReduceMean_1692" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31536,14 +30880,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/ReduceMean_output_0">
+				<port id="2" precision="FP32" names="onnx::Sub_2424">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2344" name="/nncf_module/vit/layernorm/Sub" type="Subtract" version="opset1">
+		<layer id="2262" name="Sub_1693" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31558,20 +30902,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/Sub_output_0">
+				<port id="2" precision="FP32" names="onnx::Pow_2425">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2345" name="/nncf_module/vit/layernorm/Constant" type="Const" version="opset1">
+		<layer id="2263" name="Constant_1694" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228728" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/layernorm/Constant_output_0" />
+				<port id="0" precision="FP32" names="onnx::Pow_2426" />
 			</output>
 		</layer>
-		<layer id="2346" name="/nncf_module/vit/layernorm/Pow" type="Power" version="opset1">
+		<layer id="2264" name="Pow_1695" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31582,14 +30926,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/Pow_output_0">
+				<port id="2" precision="FP32" names="onnx::ReduceMean_2427">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2347" name="Constant_9003" type="Const" version="opset1">
+		<layer id="2265" name="Constant_8921" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="261128" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -31597,7 +30941,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2348" name="/nncf_module/vit/layernorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="2266" name="ReduceMean_1696" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31610,20 +30954,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/ReduceMean_1_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2428">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2349" name="/nncf_module/vit/layernorm/Constant_1" type="Const" version="opset1">
+		<layer id="2267" name="Constant_1697" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="3228732" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/layernorm/Constant_1_output_0" />
+				<port id="0" precision="FP32" names="onnx::Add_2429" />
 			</output>
 		</layer>
-		<layer id="2350" name="/nncf_module/vit/layernorm/Add" type="Add" version="opset1">
+		<layer id="2268" name="Add_1698" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31634,14 +30978,14 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/Add_output_0">
+				<port id="2" precision="FP32" names="onnx::Sqrt_2430">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2351" name="/nncf_module/vit/layernorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="2269" name="Sqrt_1699" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31650,14 +30994,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/nncf_module/vit/layernorm/Sqrt_output_0">
+				<port id="1" precision="FP32" names="onnx::Div_2431">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2352" name="/nncf_module/vit/layernorm/Div" type="Divide" version="opset1">
+		<layer id="2270" name="Div_1700" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31672,14 +31016,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/Div_output_0">
+				<port id="2" precision="FP32" names="onnx::Mul_2432">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2353" name="nncf_module.vit.layernorm.weight" type="Const" version="opset1">
+		<layer id="2271" name="nncf_module.vit.layernorm.weight" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="88716768" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.layernorm.weight">
@@ -31687,7 +31031,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2354" name="/nncf_module/vit/layernorm/Mul" type="Multiply" version="opset1">
+		<layer id="2272" name="Mul_1701" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31700,14 +31044,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/Mul_output_0">
+				<port id="2" precision="FP32" names="onnx::Add_2433">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2355" name="nncf_module.vit.layernorm.bias" type="Const" version="opset1">
+		<layer id="2273" name="nncf_module.vit.layernorm.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="768" offset="88719840" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.vit.layernorm.bias">
@@ -31715,7 +31059,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2356" name="/nncf_module/vit/layernorm/Add_1" type="Add" version="opset1">
+		<layer id="2274" name="Add_1702" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31728,30 +31072,30 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/vit/layernorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="x.287">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2357" name="/nncf_module/vit/layernorm/ViTForImageClassification/ViTModel[vit]/LayerNorm[layernorm]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
+		<layer id="2275" name="Constant_1703" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="88722912" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/layernorm/ViTForImageClassification/ViTModel[vit]/LayerNorm[layernorm]/layer_norm_0|OUTPUT/Constant_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2435">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2358" name="/nncf_module/vit/layernorm/ViTForImageClassification/ViTModel[vit]/LayerNorm[layernorm]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
+		<layer id="2276" name="Constant_1704" type="Const" version="opset1">
 			<data element_type="f32" shape="1" offset="88722916" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/vit/layernorm/ViTForImageClassification/ViTModel[vit]/LayerNorm[layernorm]/layer_norm_0|OUTPUT/Constant_1_output_0">
+				<port id="0" precision="FP32" names="org.openvinotoolkit::FakeQuantize_2436">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2359" name="/nncf_module/vit/layernorm/ViTForImageClassification/ViTModel[vit]/LayerNorm[layernorm]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
+		<layer id="2277" name="FakeQuantize_1705" type="FakeQuantize" version="opset1">
 			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31773,26 +31117,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/vit/layernorm/ViTForImageClassification/ViTModel[vit]/LayerNorm[layernorm]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
+				<port id="5" precision="FP32" names="onnx::Gather_2437">
 					<dim>-1</dim>
 					<dim>197</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2360" name="/nncf_module/Constant" type="Const" version="opset1">
+		<layer id="2278" name="Constant_1706" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261120" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/nncf_module/Constant_output_0" />
+				<port id="0" precision="I64" names="onnx::Gather_2438" />
 			</output>
 		</layer>
-		<layer id="2361" name="Constant_9015" type="Const" version="opset1">
+		<layer id="2279" name="Constant_8933" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="261136" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2362" name="/nncf_module/Gather" type="Gather" version="opset8">
+		<layer id="2280" name="Gather_1707" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31804,13 +31148,13 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/nncf_module/Gather_output_0">
+				<port id="3" precision="FP32" names="onnx::Gemm_2439">
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2363" name="/nncf_module/classifier/pre_ops.0/op/Constant" type="Const" version="opset1">
+		<layer id="2281" name="Constant_1708" type="Const" version="opset1">
 			<data element_type="i8" shape="101, 768" offset="88722920" size="77568" />
 			<output>
 				<port id="0" precision="I8">
@@ -31819,7 +31163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2364" name="Convert_41159" type="Convert" version="opset1">
+		<layer id="2282" name="Convert_41081" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I8">
@@ -31834,7 +31178,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2365" name="Constant_41096" type="Const" version="opset1">
+		<layer id="2283" name="Constant_41018" type="Const" version="opset1">
 			<data element_type="f32" shape="101, 1" offset="88800488" size="404" />
 			<output>
 				<port id="0" precision="FP32">
@@ -31843,7 +31187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2366" name="/nncf_module/classifier/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="2284" name="FakeQuantize_1711" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31856,13 +31200,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/classifier/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="onnx::Gemm_2443">
 					<dim>101</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2367" name="/nncf_module/classifier/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="2285" name="Gemm_1712/WithoutBiases" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31881,13 +31225,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2368" name="Constant_9021" type="Const" version="opset1">
+		<layer id="2286" name="Constant_8939" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2369" name="Multiply_9024" type="Multiply" version="opset1">
+		<layer id="2287" name="Multiply_8942" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31903,13 +31247,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2370" name="Constant_9022" type="Const" version="opset1">
+		<layer id="2288" name="Constant_8940" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="7990480" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2371" name="nncf_module.classifier.bias" type="Const" version="opset1">
+		<layer id="2289" name="nncf_module.classifier.bias" type="Const" version="opset1">
 			<data element_type="f32" shape="101" offset="88800892" size="404" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.classifier.bias">
@@ -31917,7 +31261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2372" name="Multiply_9025" type="Multiply" version="opset1">
+		<layer id="2290" name="Multiply_8943" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -31931,7 +31275,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2373" name="logits" type="Add" version="opset1">
+		<layer id="2291" name="logits" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31949,7 +31293,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2374" name="logits/sink_port_0" type="Result" version="opset1">
+		<layer id="2292" name="logits/sink_port_0" type="Result" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31960,1485 +31304,1573 @@
 	</layers>
 	<edges>
 		<edge from-layer="0" from-port="0" to-layer="50" to-port="0" />
-		<edge from-layer="0" from-port="0" to-layer="70" to-port="0" />
-		<edge from-layer="1" from-port="0" to-layer="2340" to-port="0" />
-		<edge from-layer="2" from-port="0" to-layer="2324" to-port="0" />
-		<edge from-layer="3" from-port="0" to-layer="2297" to-port="0" />
-		<edge from-layer="4" from-port="0" to-layer="2180" to-port="0" />
-		<edge from-layer="5" from-port="0" to-layer="2153" to-port="0" />
-		<edge from-layer="6" from-port="0" to-layer="2137" to-port="0" />
-		<edge from-layer="7" from-port="0" to-layer="2110" to-port="0" />
-		<edge from-layer="8" from-port="0" to-layer="1993" to-port="0" />
-		<edge from-layer="9" from-port="0" to-layer="1966" to-port="0" />
-		<edge from-layer="10" from-port="0" to-layer="1950" to-port="0" />
-		<edge from-layer="11" from-port="0" to-layer="1923" to-port="0" />
-		<edge from-layer="12" from-port="0" to-layer="1806" to-port="0" />
-		<edge from-layer="13" from-port="0" to-layer="1779" to-port="0" />
-		<edge from-layer="14" from-port="0" to-layer="1763" to-port="0" />
-		<edge from-layer="15" from-port="0" to-layer="1736" to-port="0" />
-		<edge from-layer="16" from-port="0" to-layer="1619" to-port="0" />
-		<edge from-layer="17" from-port="0" to-layer="1592" to-port="0" />
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@@ -33446,720 +32878,724 @@
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