From e497b8aeff5799d4ca2cfd6e01105194ebd39eac Mon Sep 17 00:00:00 2001 From: Jee Jee Li Date: Wed, 11 Sep 2024 08:59:19 +0800 Subject: [PATCH] [Misc] Skip loading extra bias for Qwen2-MOE GPTQ models (#8329) --- vllm/model_executor/models/qwen2_moe.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/vllm/model_executor/models/qwen2_moe.py b/vllm/model_executor/models/qwen2_moe.py index 56129515ca8d1..d80064601d993 100644 --- a/vllm/model_executor/models/qwen2_moe.py +++ b/vllm/model_executor/models/qwen2_moe.py @@ -469,7 +469,8 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]): continue name = name.replace(weight_name, param_name) # Skip loading extra bias for GPTQ models. - if name.endswith(".bias") and name not in params_dict: + if ((name.endswith(".bias") or name.endswith("_bias")) + and name not in params_dict): continue # Skip layers on other devices. if is_pp_missing_parameter(name, self): @@ -490,6 +491,10 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]): # Skip layers on other devices. if is_pp_missing_parameter(name, self): continue + # Skip loading extra bias for GPTQ models. + if ((name.endswith(".bias") or name.endswith("_bias")) + and name not in params_dict): + continue param = params_dict[name] weight_loader = param.weight_loader weight_loader(param, @@ -500,7 +505,8 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]): break else: # Skip loading extra bias for GPTQ models. - if name.endswith(".bias") and name not in params_dict: + if ((name.endswith(".bias") or name.endswith("_bias")) + and name not in params_dict): continue # Skip layers on other devices. if is_pp_missing_parameter(name, self):