nllb-200-distilled-600M / quantize_config.json
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{
"per_channel": true,
"reduce_range": true,
"per_model_config": {
"decoder_model": {
"op_types": [
"Less",
"Where",
"ReduceMean",
"Relu",
"Slice",
"ConstantOfShape",
"CumSum",
"Range",
"MatMul",
"Concat",
"Pow",
"Gather",
"Not",
"Constant",
"Unsqueeze",
"Div",
"Transpose",
"Softmax",
"Reshape",
"Mul",
"Equal",
"Squeeze",
"Cast",
"Expand",
"Sub",
"Shape",
"Sqrt",
"Add"
],
"weight_type": "QInt8"
},
"encoder_model": {
"op_types": [
"ReduceMean",
"Where",
"Relu",
"CumSum",
"ConstantOfShape",
"MatMul",
"Concat",
"Pow",
"Gather",
"Not",
"Constant",
"Unsqueeze",
"Div",
"Transpose",
"Softmax",
"Reshape",
"Mul",
"Equal",
"Cast",
"Expand",
"Sub",
"Sqrt",
"Shape",
"Add"
],
"weight_type": "QInt8"
},
"decoder_model_merged": {
"op_types": [
"Less",
"Where",
"ReduceMean",
"Relu",
"Slice",
"ConstantOfShape",
"CumSum",
"Range",
"MatMul",
"Concat",
"Pow",
"Gather",
"Not",
"Constant",
"Unsqueeze",
"Div",
"Transpose",
"Softmax",
"Reshape",
"Mul",
"Equal",
"Squeeze",
"Cast",
"Expand",
"Sub",
"If",
"Shape",
"Sqrt",
"Add"
],
"weight_type": "QInt8"
},
"decoder_with_past_model": {
"op_types": [
"ReduceMean",
"Where",
"Relu",
"ConstantOfShape",
"CumSum",
"MatMul",
"Concat",
"Pow",
"Gather",
"Not",
"Constant",
"Unsqueeze",
"Div",
"Transpose",
"Softmax",
"Reshape",
"Mul",
"Equal",
"Cast",
"Expand",
"Sub",
"Sqrt",
"Shape",
"Add"
],
"weight_type": "QInt8"
}
}
}