add to_diff_dict

Author: Sara Adkins

src/transformers/utils/quantization_config.py

@@ -1154,6 +1154,27 @@ def to_dict(self) -> Dict[str, Any]:
             "sparsity_config": sparsity_config,
         }
 
+    def to_diff_dict(self) -> Dict[str, Any]:
+        """
+        Removes all attributes from config which correspond to the default config attributes for better readability and
+        serializes to a Python dictionary.
+        Returns:
+            `Dict[str, Any]`: Dictionary of all the attributes that make up this configuration instance,
+        """
+        config_dict = self.to_dict()
+
+        # get the default config dict
+        default_config_dict = CompressedTensorsConfig().to_dict()
+
+        serializable_config_dict = {}
+
+        # only serialize values that differ from the default config
+        for key, value in config_dict.items():
+            if value != default_config_dict[key]:
+                serializable_config_dict[key] = value
+
+        return serializable_config_dict
+
 
 class FbgemmFp8Config(QuantizationConfigMixin):
     """