diff --git a/auto_gptq/modeling/_base.py b/auto_gptq/modeling/_base.py
index c018b97..87e76ec 100644
--- a/auto_gptq/modeling/_base.py
+++ b/auto_gptq/modeling/_base.py
@@ -504,20 +504,20 @@ class BaseGPTQForCausalLM(nn.Module, PushToHubMixin):
 
         self.model.to(CPU)
 
-        model_save_name = self.quantize_config.model_file_base_name or f"gptq_model-{self.quantize_config.bits}bit-{self.quantize_config.group_size}g"
+        model_base_name = self.quantize_config.model_file_base_name or f"gptq_model-{self.quantize_config.bits}bit-{self.quantize_config.group_size}g"
         if use_safetensors:
-            model_save_name += ".safetensors"
+            model_save_name = model_base_name + ".safetensors"
             state_dict = self.model.state_dict()
             state_dict = {k: v.clone().contiguous() for k, v in state_dict.items()}
             safe_save(state_dict, join(save_dir, model_save_name))
         else:
-            model_save_name += ".bin"
+            model_save_name = model_base_name + ".bin"
             torch.save(self.model.state_dict(), join(save_dir, model_save_name))
 
         self.model.config.save_pretrained(save_dir)
         self.quantize_config.save_pretrained(save_dir)
         self.quantize_config.model_name_or_path = save_dir
-        self.quantize_config.model_file_base_name = model_save_name
+        self.quantize_config.model_file_base_name = model_base_name
 
     def save_pretrained(self, save_dir: str, use_safetensors: bool = False, **kwargs):
         """alias of save_quantized"""