Upload folder using huggingface_hub
Browse files- config.json +41 -0
- onnx/model.onnx +3 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_fp16.onnx +3 -0
- onnx/model_int8.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- quantize_config.json +96 -0
config.json
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{
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"architecture": "mobilenetv4_hybrid_large",
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"classifier": "classifier",
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"crop_mode": "center",
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"crop_pct": 0.95,
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"custom_load": false,
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"export_model_type": "mobilenetv4_hybrid_large",
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"first_conv": "conv_stem",
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"fixed_input_size": false,
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"hf_hub_id": "timm/mobilenetv4_hybrid_large.e600_r384_in1k",
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"input_size": [
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3,
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384,
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384
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],
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"interpolation": "bicubic",
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"mean": [
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0.485,
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0.456,
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0.406
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],
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"num_classes": 1000,
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"pool_size": [
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12,
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12
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],
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"source": "hf-hub",
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"std": [
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0.229,
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0.224,
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0.225
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],
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"tag": "e600_r384_in1k",
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"test_crop_pct": 1.0,
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"test_input_size": [
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3,
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448,
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448
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],
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"transformers_version": "4.38.2"
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:722a622542d199ab148aeaf274737a220aa81cb41bef4446405e344dc5441d7c
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size 151107896
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onnx/model_bnb4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d9e200c9a6df8d287967ea7e4d125794a685528f960dbdbe048c8aa3fc99c13
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size 151107915
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onnx/model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:a4911ea852197a178d1f7fd95299814c0b89b268c5cff632a1f512247da23002
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size 75726088
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onnx/model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fd0abd82f592fd8c31bbb995bb45900afaf3cfc402cdf2f632a8d67c2569fee
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size 38606337
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onnx/model_q4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d9e200c9a6df8d287967ea7e4d125794a685528f960dbdbe048c8aa3fc99c13
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size 151107915
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:47cc663a3cdbc79765e1685a8c74f0cf0aa01d5bd08f0a5a634e6b6a0aab37c3
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size 38606337
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onnx/model_uint8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:47cc663a3cdbc79765e1685a8c74f0cf0aa01d5bd08f0a5a634e6b6a0aab37c3
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size 38606337
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quantize_config.json
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{
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"fp16": {},
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"q8": {
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"per_model_config": {
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"model": {
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"op_types": [
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"Add",
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"BatchNormalization",
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"Concat",
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"Conv",
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"Div",
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"Erf",
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"Flatten",
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"Gather",
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"Gemm",
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"GlobalAveragePool",
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"MatMul",
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"Mul",
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"Reshape",
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"Shape",
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"Softmax",
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"Transpose",
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"Unsqueeze"
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],
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"weight_type": "QUInt8"
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}
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},
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"per_channel": true,
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"reduce_range": true
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},
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"int8": {
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"per_model_config": {
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"model": {
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"op_types": [
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"Add",
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"BatchNormalization",
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"Concat",
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"Conv",
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"Div",
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"Erf",
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"Flatten",
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"Gather",
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"Gemm",
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"GlobalAveragePool",
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"MatMul",
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"Mul",
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"Reshape",
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"Shape",
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"Softmax",
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"Transpose",
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"Unsqueeze"
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],
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"weight_type": "QInt8"
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}
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},
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"per_channel": true,
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"reduce_range": true
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},
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"uint8": {
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"per_model_config": {
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"model": {
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"op_types": [
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"Add",
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"BatchNormalization",
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"Concat",
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"Conv",
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"Div",
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"Erf",
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"Flatten",
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"Gather",
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"Gemm",
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"GlobalAveragePool",
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"MatMul",
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"Mul",
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"Reshape",
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"Shape",
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"Softmax",
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"Transpose",
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"Unsqueeze"
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],
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"weight_type": "QUInt8"
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}
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},
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"per_channel": true,
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"reduce_range": true
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},
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"q4": {
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"block_size": 32,
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"is_symmetric": true,
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"accuracy_level": null
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},
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"bnb4": {
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"block_size": 64,
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"quant_type": 1
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}
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}
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