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config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_commit_hash": "f11b7b69e3e15bf42066df172322782809460672",
+  "_name_or_path": "depth-anything/promptda_vits_transparent_hf",
+  "architectures": [
+    "PromptDepthAnythingForDepthEstimation"
+  ],
+  "backbone": null,
+  "backbone_config": {
+    "architectures": [
+      "Dinov2Model"
+    ],
+    "hidden_size": 384,
+    "image_size": 518,
+    "model_type": "dinov2",
+    "num_attention_heads": 6,
+    "out_features": [
+      "stage3",
+      "stage6",
+      "stage9",
+      "stage12"
+    ],
+    "out_indices": [
+      3,
+      6,
+      9,
+      12
+    ],
+    "reshape_hidden_states": false,
+    "torch_dtype": "float32"
+  },
+  "backbone_kwargs": null,
+  "depth_estimation_type": "metric",
+  "fusion_hidden_size": 64,
+  "head_hidden_size": 32,
+  "head_in_index": -1,
+  "initializer_range": 0.02,
+  "max_depth": 1,
+  "model_type": "prompt_depth_anything",
+  "neck_hidden_sizes": [
+    48,
+    96,
+    192,
+    384
+  ],
+  "patch_size": 14,
+  "reassemble_factors": [
+    4,
+    2,
+    1,
+    0.5
+  ],
+  "reassemble_hidden_size": 384,
+  "transformers_version": null,
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": false
+}

onnx/model.onnx

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+size 99223796

onnx/model_bnb4.onnx

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onnx/model_fp16.onnx

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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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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_pad": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "ensure_multiple_of": 14,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DPTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "keep_aspect_ratio": true,
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 756,
+    "width": 756
+  },
+  "size_divisor": null
+}

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,
+    "op_block_list": null
+}