[CI Bug] Fix ValueError: There is no module or parameter named 'model.vision_tower.vision_model'

vllm/model_executor/models/transformers/base.py

@@ -303,17 +303,13 @@ def _create_hf_to_vllm_mapper(self):
         - Any quantization config specific mappings
         """
         self.hf_to_vllm_mapper = WeightsMapper()
+        orig_to_new_renamings = self.hf_to_vllm_mapper.orig_to_new_renamings
         orig_to_new_regex = self.hf_to_vllm_mapper.orig_to_new_regex
 
         for mapping in get_model_conversion_mapping(self.model):
             # Handle weights which have been renamed in Transformers
             if isinstance(mapping, WeightRenaming):
-                # Recompile using regex (Transformers used re)
-                compiled_sources = re.compile(
-                    mapping.compiled_sources.pattern, mapping.compiled_sources.flags
-                )
-                target_pattern = mapping.target_patterns[0]
-                orig_to_new_regex[compiled_sources] = target_pattern
+                orig_to_new_renamings.append(mapping)
             # TODO: Handle WeightConverter to enable layer merging
 
         # Handle unexpected weights which should be ignored

vllm/model_executor/models/utils.py

@@ -44,6 +44,7 @@ class WeightsMapper:
 
     If a key maps to a value of `None`, the corresponding weight is ignored."""
 
+    orig_to_new_renamings: list[Any] = field(default_factory=list)
     orig_to_new_regex: Mapping[re.Pattern, str | None] = field(default_factory=dict)
     orig_to_new_substr: Mapping[str, str | None] = field(default_factory=dict)
     orig_to_new_prefix: Mapping[str, str | None] = field(default_factory=dict)
@@ -52,13 +53,20 @@ class WeightsMapper:
     def __or__(self, other: "WeightsMapper") -> "WeightsMapper":
         """Combine two `WeightsMapper`s by merging their mappings."""
         return WeightsMapper(
+            orig_to_new_renamings=[
+                *self.orig_to_new_renamings,
+                *other.orig_to_new_renamings,
+            ],
             orig_to_new_regex={**self.orig_to_new_regex, **other.orig_to_new_regex},
             orig_to_new_substr={**self.orig_to_new_substr, **other.orig_to_new_substr},
             orig_to_new_prefix={**self.orig_to_new_prefix, **other.orig_to_new_prefix},
             orig_to_new_suffix={**self.orig_to_new_suffix, **other.orig_to_new_suffix},
         )
 
     def _map_name(self, key: str) -> str | None:
+        for renaming in self.orig_to_new_renamings:
+            key, _ = renaming.rename_source_key(key)
+
         for pattern, new_key in self.orig_to_new_regex.items():
             if pattern.search(key):
                 if new_key is None: