diff --git a/gptqmodel/models/writer.py b/gptqmodel/models/writer.py
index 6f33b2d4a..dc796d4e2 100644
--- a/gptqmodel/models/writer.py
+++ b/gptqmodel/models/writer.py
@@ -225,20 +225,8 @@ def save_quantized(
                 f"Using 'format = {FORMAT.GPTQ_V2}': the serialized model is only supported by GPTQModel version >= {MIN_VERSION_WITH_V2}."
             )
 
-        if not self.load_quantized_model:
-            model = self.model
-            # internal is always gptq v2 but allow users to pass gptq (v1) via config
-            if (
-                quantize_config.format == FORMAT.GPTQ
-                and quantize_config.quant_method == METHOD.GPTQ
-                and self.qlinear_kernel.REQUIRES_FORMAT_V2
-            ):
-                # Model qzeros may be edited in place for export compatibility.
-                model = convert_gptq_v2_to_v1_format(
-                    model, quantize_config=quantize_config, qlinear_kernel=self.qlinear_kernel
-                )
-        else:
-            model = self.get_model_with_quantize(
+        if self.load_quantized_model:
+            self.model = self.get_model_with_quantize(
                 qcfg=quantize_config,
                 model_id_or_path=self.model_local_path,
             )
@@ -286,10 +274,10 @@ def debug_saved_config(path):
 
         # Due to shell/turtle state, we need to sync the modules from turtle to shell
         if not self.load_quantized_model:
-            alias_all_from_turtle_if_meta(shell_model=model, turtle_model=self.turtle_model)
+            alias_all_from_turtle_if_meta(shell_model=self.model, turtle_model=self.turtle_model)
 
         offload_root = self.quantize_config.offload_to_disk_path if getattr(self.quantize_config, "offload_to_disk", False) else None
-        state_dict = get_state_dict_for_save(model, offload_root=offload_root)
+        state_dict = get_state_dict_for_save(self.model, offload_root=offload_root)
 
         model_base_name = "model"
         model_save_name = model_base_name + ".safetensors"