[Quant] [Bugfix] Fix quantization config matching with hf_to_vllm_mapper (#20046)

vllm/model_executor/models/utils.py

@@ -4,7 +4,7 @@
 import itertools
 from collections.abc import Iterable, Mapping
 from dataclasses import dataclass, field
-from typing import Callable, Literal, Optional, Protocol, Union, overload
+from typing import Any, Callable, Literal, Optional, Protocol, Union, overload
 
 import torch
 import torch.nn as nn
@@ -64,6 +64,19 @@ class WeightsMapper:
         return ((out_name, data) for name, data in weights
                 if (out_name := self._map_name(name)) is not None)
 
+    def apply_list(self, values: list[str]) -> list[str]:
+        return [
+            out_name for name in values
+            if (out_name := self._map_name(name)) is not None
+        ]
+
+    def apply_dict(self, values: dict[str, Any]) -> dict[str, Any]:
+        return {
+            out_name: value
+            for name, value in values.items()
+            if (out_name := self._map_name(name)) is not None
+        }
+
 
 class AutoWeightsLoader:
     """