ENH: Do not pass warning message in case quantization_config is in …

…config but not passed as an arg (#28988)

* Update auto.py

* Update auto.py

* Update src/transformers/quantizers/auto.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/quantizers/auto.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

src/transformers/quantizers/auto.py

@@ -129,10 +129,13 @@ def merge_quantization_configs(
         """
         handles situations where both quantization_config from args and quantization_config from model config are present.
         """
-        warning_msg = (
-            "You passed `quantization_config` or equivalent parameters to `from_pretrained` but the model you're loading"
-            " already has a `quantization_config` attribute. The `quantization_config` from the model will be prevail."
-        )
+        if quantization_config_from_args is not None:
+            warning_msg = (
+                "You passed `quantization_config` or equivalent parameters to `from_pretrained` but the model you're loading"
+                " already has a `quantization_config` attribute. The `quantization_config` from the model will be used."
+            )
+        else:
+            warning_msg = ""
 
         if isinstance(quantization_config, dict):
             quantization_config = AutoQuantizationConfig.from_dict(quantization_config)
@@ -144,5 +147,7 @@ def merge_quantization_configs(
                 setattr(quantization_config, attr, val)
             warning_msg += f"However, loading attributes (e.g. {list(loading_attr_dict.keys())}) will be overwritten with the one you passed to `from_pretrained`. The rest will be ignored."
 
-        warnings.warn(warning_msg)
+        if warning_msg != "":
+            warnings.warn(warning_msg)
+
         return quantization_config