no longer need unexpected keys fn

src/transformers/modeling_utils.py

@@ -4182,7 +4182,6 @@ def _fix_key(key):
             for pat in cls._keys_to_ignore_on_load_unexpected:
                 unexpected_keys = [k for k in unexpected_keys if re.search(pat, k) is None]
         if hf_quantizer is not None:
-            unexpected_keys = hf_quantizer.update_unexpected_keys(model, unexpected_keys, prefix)
             missing_keys = hf_quantizer.update_missing_keys(model, missing_keys, prefix)
 
         # retrieve weights on meta device and put them back on CPU.

src/transformers/quantizers/base.py

@@ -99,16 +99,6 @@ def adjust_target_dtype(self, torch_dtype: "torch.dtype") -> "torch.dtype":
         """
         return torch_dtype
 
-    def update_unexpected_keys(self, model, unexpected_keys: List[str], prefix: str) -> List[str]:
-        """
-        Override this method if you want to adjust the `unexpected_keys`.
-
-        Args:
-            unexpected_keys (`List[str]`, *optional*):
-                The list of unexpected keys in the state dict of the model compared to the checkpoint
-        """
-        return unexpected_keys
-
     def update_missing_keys(self, model, missing_keys: List[str], prefix: str) -> List[str]:
         """
         Override this method if you want to adjust the `missing_keys`.