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config.json

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+{
+  "_name_or_path": "facebook/dinov2-large",
+  "apply_layernorm": true,
+  "architectures": [
+    "Dinov2Model"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "image_size": 518,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-06,
+  "layerscale_value": 1.0,
+  "mlp_ratio": 4,
+  "model_type": "dinov2",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "out_features": [
+    "stage24"
+  ],
+  "out_indices": [
+    24
+  ],
+  "patch_size": 14,
+  "qkv_bias": true,
+  "reshape_hidden_states": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12",
+    "stage13",
+    "stage14",
+    "stage15",
+    "stage16",
+    "stage17",
+    "stage18",
+    "stage19",
+    "stage20",
+    "stage21",
+    "stage22",
+    "stage23",
+    "stage24"
+  ],
+  "transformers_version": "4.36.0.dev0",
+  "use_swiglu_ffn": false
+}

onnx/model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f94c4fd79af9ffd80cdf7b2620b38520669faba19a9fda7e0cd058595901431c
+size 1217936914

onnx/model_quantized.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2cec40893eac9187259e855efa5cf8315553a9dd74068aaae16e7ee81ac5e68
+size 311589461

preprocessor_config.json

@@ -0,0 +1,27 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

quantize_config.json

@@ -0,0 +1,34 @@
+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "model": {
+            "op_types": [
+                "Gather",
+                "Transpose",
+                "Unsqueeze",
+                "Constant",
+                "Where",
+                "Conv",
+                "Mul",
+                "Sub",
+                "Slice",
+                "Pow",
+                "Reshape",
+                "Expand",
+                "ConstantOfShape",
+                "Div",
+                "Equal",
+                "Concat",
+                "ReduceMean",
+                "Erf",
+                "Sqrt",
+                "Shape",
+                "Add",
+                "MatMul",
+                "Softmax"
+            ],
+            "weight_type": "QUInt8"
+        }
+    }
+}