tiny-random-ErnieMModel / quantize_config.json
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{
"fp16": {},
"q8": {
"per_model_config": {
"model": {
"op_types": [
"Add",
"Cast",
"Concat",
"Constant",
"ConstantOfShape",
"CumSum",
"Div",
"Erf",
"Gather",
"Identity",
"MatMul",
"Mul",
"Pow",
"ReduceMean",
"Reshape",
"Shape",
"Softmax",
"Sqrt",
"Sub",
"Transpose",
"Unsqueeze"
],
"weight_type": "QInt8"
}
},
"per_channel": true,
"reduce_range": true
},
"int8": {
"per_model_config": {
"model": {
"op_types": [
"Add",
"Cast",
"Concat",
"Constant",
"ConstantOfShape",
"CumSum",
"Div",
"Erf",
"Gather",
"Identity",
"MatMul",
"Mul",
"Pow",
"ReduceMean",
"Reshape",
"Shape",
"Softmax",
"Sqrt",
"Sub",
"Transpose",
"Unsqueeze"
],
"weight_type": "QInt8"
}
},
"per_channel": true,
"reduce_range": true
},
"uint8": {
"per_model_config": {
"model": {
"op_types": [
"Add",
"Cast",
"Concat",
"Constant",
"ConstantOfShape",
"CumSum",
"Div",
"Erf",
"Gather",
"Identity",
"MatMul",
"Mul",
"Pow",
"ReduceMean",
"Reshape",
"Shape",
"Softmax",
"Sqrt",
"Sub",
"Transpose",
"Unsqueeze"
],
"weight_type": "QUInt8"
}
},
"per_channel": true,
"reduce_range": true
},
"q4": {
"block_size": 32,
"is_symmetric": true,
"accuracy_level": null
},
"bnb4": {
"block_size": 64,
"quant_type": 1
}
}