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Nvidia ModelOpt workaround for issue 28072 (#30164)

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Signed-off-by: Shengliang Xu <shengliangx@nvidia.com>
Co-authored-by: Pavani Majety <pmajety@nvidia.com>
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Shengliang Xu 2025-12-14 02:18:31 -08:00 committed by GitHub
parent 060893654d
commit 0bb0bae436
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1 changed files with 18 additions and 1 deletions
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19
vllm/model_executor/layers/quantization/modelopt.py
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@ -188,7 +188,24 @@ class ModelOptQuantConfigBase(QuantizationConfig):
def apply_vllm_mapper(self, hf_to_vllm_mapper: "WeightsMapper"):
if len(self.exclude_modules) > 0:
self.exclude_modules = hf_to_vllm_mapper.apply_list(self.exclude_modules)
# This is a workaround for the weights remapping issue:
# https://github.com/vllm-project/vllm/issues/28072
# Right now, the Nvidia ModelOpt library use just one wildcard pattern:
# module_path*
# It gets applied if the whole tree of modules rooted at module_path
# is not quantized. Here we replace such pattern by 2 patterns that are
# collectively equivalent to the original pattern:
# module_path
# module_path.*
new_exclude_modules = []
for exclude in self.exclude_modules:
if len(exclude) >= 2 and exclude[-1] == "*" and exclude[-2] != ".":
new_exclude_modules.append(exclude[:-1])
new_exclude_modules.append(exclude[:-1] + ".*")
else:
new_exclude_modules.append(exclude)
self.exclude_modules = hf_to_vllm_mapper.apply_list(new_exclude_modules)
@staticmethod
def get_config_filenames() -> list[str]: