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config.json
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"
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"transformers_version": "4.29.2",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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"transformers_version": "4.30.2",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.30.2"
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}
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onnx/decoder_model_merged.onnx
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onnx/decoder_model_merged_quantized.onnx
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onnx/decoder_model_quantized.onnx
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onnx/decoder_with_past_model_quantized.onnx
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onnx/encoder_model_quantized.onnx
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size 23183300
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quant_config.json
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{
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"per_channel": false,
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"reduce_range": false,
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"per_model_config": {
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"encoder_model": {
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"op_types": [
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"Pow",
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"Gather",
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"Mul",
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"ReduceMean",
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"Conv",
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"Erf",
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"MatMul",
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"Concat",
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"Sqrt",
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"Add",
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"Constant",
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"Sub",
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"Softmax",
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"Reshape",
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"Unsqueeze",
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"Transpose",
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"Shape",
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"Div"
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],
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"weight_type": "QUInt8"
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},
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"decoder_model": {
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"op_types": [
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"Pow",
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"Expand",
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"Concat",
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"Less",
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"Sqrt",
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"Add",
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"Unsqueeze",
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"Transpose",
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"Shape",
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"Gather",
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"Mul",
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"ReduceMean",
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"Erf",
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"MatMul",
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"ConstantOfShape",
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"Constant",
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"Softmax",
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"Range",
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"Reshape",
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"Cast",
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"Div",
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"Where",
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"Slice",
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"Sub",
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"Equal",
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"Squeeze"
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],
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"weight_type": "QInt8"
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},
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"decoder_model_merged": {
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"op_types": [
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"If"
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],
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"weight_type": "QInt8"
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},
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"decoder_with_past_model": {
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"op_types": [
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"Gather",
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"Pow",
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"Mul",
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"ReduceMean",
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"Concat",
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"Slice",
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"MatMul",
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"Erf",
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"Sqrt",
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"Add",
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"Constant",
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"Sub",
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"Softmax",
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"Reshape",
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"Unsqueeze",
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"Transpose",
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"Shape",
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"Div"
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],
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"weight_type": "QInt8"
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}
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}
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}
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