diff --git a/vllm/config.py b/vllm/config.py
index b88b0decaa1ca..df8e37a13285d 100644
--- a/vllm/config.py
+++ b/vllm/config.py
@@ -278,20 +278,17 @@ def _init_pooler_config(
         pooling_returned_token_ids: Optional[List[int]] = None
     ) -> Optional["PoolerConfig"]:
         if self.task == "embedding":
-            pooling_type_ = pooling_type
-            normalize_ = pooling_norm
             pooling_config = get_pooling_config(self.model, self.revision)
             if pooling_config is not None:
-                pooling_type_ = pooling_config["pooling_type"]
-                normalize_ = pooling_config["normalize"]
-                # override if user specifies pooling_type and/or pooling_norm
-                if pooling_type is not None:
-                    pooling_type_ = pooling_type
-                if pooling_norm is not None:
-                    normalize_ = pooling_norm
+                # override if user does not
+                # specifies pooling_type and/or pooling_norm
+                if pooling_type is None:
+                    pooling_type = pooling_config["pooling_type"]
+                if pooling_norm is None:
+                    pooling_norm = pooling_config["normalize"]
             return PoolerConfig(
-                pooling_type=pooling_type_,
-                pooling_norm=normalize_,
+                pooling_type=pooling_type,
+                pooling_norm=pooling_norm,
                 pooling_softmax=pooling_softmax,
                 pooling_step_tag_id=pooling_step_tag_id,
                 pooling_returned_token_ids=pooling_returned_token_ids)
diff --git a/vllm/transformers_utils/config.py b/vllm/transformers_utils/config.py
index 253b345c3f6ea..231a32919effb 100644
--- a/vllm/transformers_utils/config.py
+++ b/vllm/transformers_utils/config.py
@@ -235,9 +235,9 @@ def get_config(
     return config
 
 
-def get_hf_file_to_dict(file_name,
-                        model,
-                        revision,
+def get_hf_file_to_dict(file_name: str,
+                        model: Union[str, Path],
+                        revision: Optional[str] = 'main',
                         token: Optional[str] = None):
     """
     Downloads a file from the Hugging Face Hub and returns 
@@ -273,13 +273,13 @@ def get_hf_file_to_dict(file_name,
             file_path = Path(hf_hub_file)
 
         with open(file_path, "r") as file:
-            config_dict = json.load(file)
-
-        return config_dict
+            return json.load(file)
     return None
 
 
-def get_pooling_config(model, revision='main', token: Optional[str] = None):
+def get_pooling_config(model: str,
+                       revision: Optional[str] = 'main',
+                       token: Optional[str] = None):
     """
     This function gets the pooling and normalize 
     config from the model - only applies to 
@@ -326,7 +326,7 @@ def get_pooling_config(model, revision='main', token: Optional[str] = None):
     return None
 
 
-def get_pooling_config_name(pooling_name):
+def get_pooling_config_name(pooling_name: str) -> Union[str, None]:
     if "pooling_mode_" in pooling_name:
         pooling_name = pooling_name.replace("pooling_mode_", "")
 
@@ -345,10 +345,11 @@ def get_pooling_config_name(pooling_name):
     except NotImplementedError as e:
         logger.debug("Pooling type not supported", e)
         return None
+    return None
 
 
-def get_sentence_transformer_tokenizer_config(model,
-                                              revision='main',
+def get_sentence_transformer_tokenizer_config(model: str,
+                                              revision: Optional[str] = 'main',
                                               token: Optional[str] = None):
     """
     Returns the tokenization configuration dictionary for a 
@@ -448,8 +449,8 @@ def _reduce_modelconfig(mc: ModelConfig):
             exc_info=e)
 
 
-def load_params_config(model,
-                       revision,
+def load_params_config(model: Union[str, Path],
+                       revision: Optional[str],
                        token: Optional[str] = None) -> PretrainedConfig:
     # This function loads a params.json config which
     # should be used when loading models in mistral format