diff --git a/vllm/model_executor/models/interfaces.py b/vllm/model_executor/models/interfaces.py
index 4f0c75b2c6a57..9b4a97abf9b51 100644
--- a/vllm/model_executor/models/interfaces.py
+++ b/vllm/model_executor/models/interfaces.py
@@ -10,7 +10,6 @@
 from .interfaces_base import is_embedding_model
 
 if TYPE_CHECKING:
-    from vllm.config import LoRAConfig, MultiModalConfig, SchedulerConfig
     from vllm.sequence import IntermediateTensors
 
 logger = init_logger(__name__)
@@ -29,9 +28,6 @@ class SupportsMultiModal(Protocol):
         MRO of your model class.
     """
 
-    def __init__(self, *, multimodal_config: "MultiModalConfig") -> None:
-        ...
-
 
 # We can't use runtime_checkable with ClassVar for issubclass checks
 # so we need to treat the class as an instance and use isinstance instead
@@ -39,9 +35,6 @@ def __init__(self, *, multimodal_config: "MultiModalConfig") -> None:
 class _SupportsMultiModalType(Protocol):
     supports_multimodal: Literal[True]
 
-    def __call__(self, *, multimodal_config: "MultiModalConfig") -> None:
-        ...
-
 
 @overload
 def supports_multimodal(
@@ -81,10 +74,6 @@ class SupportsLoRA(Protocol):
     embedding_modules: ClassVar[Dict[str, str]]
     embedding_padding_modules: ClassVar[List[str]]
 
-    # lora_config is None when LoRA is not enabled
-    def __init__(self, *, lora_config: Optional["LoRAConfig"] = None) -> None:
-        ...
-
 
 # We can't use runtime_checkable with ClassVar for issubclass checks
 # so we need to treat the class as an instance and use isinstance instead
@@ -97,9 +86,6 @@ class _SupportsLoRAType(Protocol):
     embedding_modules: Dict[str, str]
     embedding_padding_modules: List[str]
 
-    def __call__(self, *, lora_config: Optional["LoRAConfig"] = None) -> None:
-        ...
-
 
 @overload
 def supports_lora(model: Type[object]) -> TypeIs[Type[SupportsLoRA]]:
@@ -276,21 +262,11 @@ class HasInnerState(Protocol):
         for max_num_seqs, etc. True for e.g. both Mamba and Jamba.
     """
 
-    def __init__(self,
-                 *,
-                 scheduler_config: Optional["SchedulerConfig"] = None) -> None:
-        ...
-
 
 @runtime_checkable
 class _HasInnerStateType(Protocol):
     has_inner_state: ClassVar[Literal[True]]
 
-    def __init__(self,
-                 *,
-                 scheduler_config: Optional["SchedulerConfig"] = None) -> None:
-        ...
-
 
 @overload
 def has_inner_state(model: object) -> TypeIs[HasInnerState]:
@@ -323,17 +299,11 @@ class IsAttentionFree(Protocol):
         True for Mamba but not Jamba.
     """
 
-    def __init__(self) -> None:
-        ...
-
 
 @runtime_checkable
 class _IsAttentionFreeType(Protocol):
     is_attention_free: ClassVar[Literal[True]]
 
-    def __init__(self) -> None:
-        ...
-
 
 @overload
 def is_attention_free(model: object) -> TypeIs[IsAttentionFree]:
diff --git a/vllm/model_executor/models/interfaces_base.py b/vllm/model_executor/models/interfaces_base.py
index 7bb43beff255c..957a5a6e26b5c 100644
--- a/vllm/model_executor/models/interfaces_base.py
+++ b/vllm/model_executor/models/interfaces_base.py
@@ -71,7 +71,7 @@ def _check_vllm_model_forward(model: Union[Type[object], object]) -> bool:
                         and issubclass(model, nn.Module)):
         logger.warning(
             "The model (%s) is missing "
-            "vLLM-specific keywords from its initializer: %s",
+            "vLLM-specific keywords from its `forward` method: %s",
             model,
             missing_kws,
         )