update mixtral.py

vllm/model_executor/models/mixtral.py

@@ -524,12 +524,6 @@ class MixtralForCausalLM(nn.Module, SupportsLoRA, SupportsPP):
             
             for layername in loaded_params:
                 weight = params_dict[layername]
-                if "lm_head.weight" in layername:
-                    lay_key_words.append("lm_head.weight")
-                    combined_words = "|".join(lay_key_words)
-                    os.environ['LM_NN'] = '1'  
-                else:
-                    os.environ['LM_NN'] = '0'
 
                 matches = re.findall(combined_words, layername)