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config.json

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+{
+  "_commit_hash": "ae22d4d5332a62d4c6a24bf75ba8e77391c4238b",
+  "_name_or_path": "facebook/dpt-dinov2-small-kitti",
+  "add_projection": true,
+  "architectures": [
+    "DPTForDepthEstimation"
+  ],
+  "attention_probs_dropout_prob": null,
+  "auxiliary_loss_weight": 0.4,
+  "backbone": null,
+  "backbone_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "apply_layernorm": false,
+    "architectures": [
+      "Dinov2Model"
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+    "attention_probs_dropout_prob": 0.0,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": null,
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+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "drop_path_rate": 0.0,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 384,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "image_size": 518,
+    "initializer_range": 0.02,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+      "LABEL_1": 1
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+    "layer_norm_eps": 1e-06,
+    "layerscale_value": 1.0,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "mlp_ratio": 4,
+    "model_type": "dinov2",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 6,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "out_features": [
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+      "stage6",
+      "stage9",
+      "stage12"
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+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "patch_size": 14,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "qkv_bias": true,
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "reshape_hidden_states": false,
+    "return_dict": true,
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+    "sep_token_id": null,
+    "stage_names": [
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+      "stage1",
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+      "stage3",
+      "stage4",
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+      "stage6",
+      "stage7",
+      "stage8",
+      "stage9",
+      "stage10",
+      "stage11",
+      "stage12"
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+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": "float32",
+    "torchscript": false,
+    "transformers_version": "4.43.4",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_swiglu_ffn": false
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+  "backbone_featmap_shape": null,
+  "backbone_kwargs": null,
+  "backbone_out_indices": null,
+  "fusion_hidden_size": 256,
+  "head_in_index": -1,
+  "hidden_act": "gelu",
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+  "initializer_range": 0.02,
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+  "is_hybrid": false,
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+  "model_type": "dpt",
+  "neck_hidden_sizes": [
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+    96,
+    192,
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+  "num_hidden_layers": null,
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+  "qkv_bias": null,
+  "readout_type": "project",
+  "reassemble_factors": [
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+    1,
+    0.5
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+  "semantic_classifier_dropout": 0.1,
+  "semantic_loss_ignore_index": 255,
+  "transformers_version": null,
+  "use_autobackbone": true,
+  "use_auxiliary_head": true,
+  "use_batch_norm_in_fusion_residual": false,
+  "use_bias_in_fusion_residual": false,
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": false
+}

onnx/model.onnx

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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": true,
+  "do_rescale": false,
+  "do_resize": false,
+  "ensure_multiple_of": 1,
+  "image_mean": [
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+    116.28,
+    103.53
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+  "image_processor_type": "DPTFeatureExtractor",
+  "image_std": [
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+  "keep_aspect_ratio": false,
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+  "size_divisor": 14
+}

quantize_config.json

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