TinyLLama-v0 / quantize_config.json
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{
"per_channel": false,
"reduce_range": false,
"per_model_config": {
"decoder_model": {
"op_types": [
"Reshape",
"Range",
"MatMul",
"Slice",
"Softmax",
"Squeeze",
"Neg",
"Where",
"Sqrt",
"Less",
"Constant",
"Transpose",
"Gather",
"Cast",
"Pow",
"If",
"Sub",
"Equal",
"Identity",
"Expand",
"Add",
"ConstantOfShape",
"Mul",
"Div",
"Concat",
"Unsqueeze",
"Shape",
"ReduceMean",
"Sigmoid"
],
"weight_type": "QInt8"
},
"decoder_model_merged": {
"op_types": [
"Reshape",
"Range",
"MatMul",
"Slice",
"Softmax",
"Squeeze",
"Neg",
"Where",
"Sqrt",
"Less",
"Constant",
"Transpose",
"Gather",
"Cast",
"Pow",
"If",
"Sub",
"Equal",
"Identity",
"Expand",
"Add",
"ConstantOfShape",
"Mul",
"Div",
"Concat",
"Unsqueeze",
"Shape",
"ReduceMean",
"Sigmoid"
],
"weight_type": "QInt8"
},
"decoder_with_past_model": {
"op_types": [
"Reshape",
"Range",
"MatMul",
"Slice",
"Softmax",
"Squeeze",
"Neg",
"Where",
"Sqrt",
"Constant",
"Transpose",
"Gather",
"Cast",
"Pow",
"If",
"Sub",
"Equal",
"Identity",
"Expand",
"Add",
"ConstantOfShape",
"Mul",
"Div",
"Concat",
"Unsqueeze",
"Shape",
"ReduceMean",
"Sigmoid"
],
"weight_type": "QInt8"
}
}
}