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config.json

@@ -0,0 +1,49 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "ibm-granite/granite-timeseries-patchtsmixer",
+  "architectures": [
+    "PatchTSMixerForPrediction"
+  ],
+  "channel_consistent_masking": true,
+  "context_length": 512,
+  "d_model": 48,
+  "distribution_output": "student_t",
+  "dropout": 0.5,
+  "expansion_factor": 3,
+  "gated_attn": true,
+  "head_aggregation": "max_pool",
+  "head_dropout": 0.5,
+  "init_std": 0.02,
+  "loss": "mse",
+  "mask_type": "forecast",
+  "mask_value": 0,
+  "masked_loss": true,
+  "mode": "common_channel",
+  "model_type": "patchtsmixer",
+  "norm_eps": 1e-05,
+  "norm_mlp": "LayerNorm",
+  "num_forecast_mask_patches": [
+    2
+  ],
+  "num_input_channels": 7,
+  "num_layers": 2,
+  "num_parallel_samples": 100,
+  "num_patches": 32,
+  "num_targets": 3,
+  "output_range": null,
+  "patch_last": true,
+  "patch_length": 16,
+  "patch_stride": 16,
+  "positional_encoding_type": "sincos",
+  "post_init": false,
+  "prediction_channel_indices": null,
+  "prediction_length": 96,
+  "random_mask_ratio": 0.5,
+  "scaling": true,
+  "self_attn": false,
+  "self_attn_heads": 1,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.1",
+  "unmasked_channel_indices": null,
+  "use_positional_encoding": false
+}

generation_config.json

@@ -0,0 +1,4 @@
+{
+  "_from_model_config": true,
+  "transformers_version": "4.46.1"
+}

onnx/model.onnx

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+size 850461

onnx/model_bnb4.onnx

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+size 182902

onnx/model_fp16.onnx

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+size 458375

onnx/model_int8.onnx

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onnx/model_q4.onnx

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onnx/model_q4f16.onnx

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onnx/model_quantized.onnx

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onnx/model_uint8.onnx

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quantize_config.json

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+{
+    "modes": [
+        "fp16",
+        "q8",
+        "int8",
+        "uint8",
+        "q4",
+        "q4f16",
+        "bnb4"
+    ],
+    "per_channel": true,
+    "reduce_range": true,
+    "block_size": null,
+    "is_symmetric": true,
+    "accuracy_level": null,
+    "quant_type": 1
+}