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- # Copyright 2025 The HuggingFace Team. All rights reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- "FP-Quant integration file"
- from ..utils import (
- is_fp_quant_available,
- )
- if is_fp_quant_available():
- from fp_quant import FPQuantConfig as FPQuantLinearConfig
- from fp_quant import FPQuantDtype
- from transformers.utils.quantization_config import FPQuantConfig
- def adapt_fp_quant_config(config: FPQuantConfig):
- if config.forward_dtype == "mxfp4":
- forward_dtype = FPQuantDtype.MXFP4
- elif config.forward_dtype == "nvfp4":
- forward_dtype = FPQuantDtype.NVFP4
- else:
- raise ValueError(f"Unsupported forward dtype: {config.forward_dtype}")
- if config.backward_dtype == "bf16":
- backward_dtype = FPQuantDtype.BF16
- else:
- raise ValueError(f"Unsupported backward dtype: {config.backward_dtype}")
- return FPQuantLinearConfig(
- forward_dtype=forward_dtype,
- forward_method=config.forward_method,
- backward_dtype=backward_dtype,
- store_master_weights=config.store_master_weights,
- hadamard_group_size=config.hadamard_group_size,
- pseudoquantization=config.pseudoquantization,
- transform_init=config.transform_init,
- modules_to_not_convert=config.modules_to_not_convert,
- )
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