update lm_head tn layout for awq

vllm/model_executor/models/baichuan.py

@@ -519,6 +519,7 @@ class BaiChuanBaseForCausalLM(nn.Module, SupportsLoRA, SupportsPP):
                     weight.data=weight.data.reshape(ori_shape[1], -1)
 
         if self.quant_method == "awq":
+            os.environ['LM_NN'] = '0'
             lay_key_words = [
                 "self_attn.W_pack.qweight",
                 "self_attn.o_proj.qweight",

vllm/model_executor/models/deepseek_v2.py

@@ -875,4 +875,4 @@ class DeepseekV2ForCausalLM(nn.Module, SupportsPP):
 
 
 class DeepseekV3ForCausalLM(DeepseekV2ForCausalLM):
-    pass
+    pass
\ No newline at end of file

vllm/model_executor/models/llama.py

@@ -507,6 +507,7 @@ class LlamaModel(nn.Module):
                     weight.data=weight.data.reshape(ori_shape[1], -1)
      
         if self.quant_method == "awq":
+            os.environ['LM_NN'] = '0'
             lay_key_words = [
                 "self_attn.qkv_proj.qweight",
                 "self_attn.o_proj.qweight",

vllm/model_executor/models/qwen.py

@@ -1132,6 +1132,7 @@ class QWenBaseModel(nn.Module, SupportsPP, SupportsLoRA):
                     weight.data=weight.data.reshape(ori_shape[1],-1)
                     
         if self.quant_method == "awq":
+            os.environ['LM_NN'] = '0'
             lay_key_words = [
                 "attn.c_attn.qweight",
                 "attn.c_proj.qweight",

vllm/model_executor/models/qwen2.py

@@ -485,6 +485,7 @@ class Qwen2Model(nn.Module):
                     weight.data=weight.data.reshape(ori_shape[1],-1)
                     
         if self.quant_method == "awq":
+            os.environ['LM_NN'] = '0'
             lay_key_words = [
                 "self_attn.qkv_proj.qweight",
                 "self_attn.o_proj.qweight",