diff --git a/vllm/model_executor/models/mamba.py b/vllm/model_executor/models/mamba.py
index 405b8f7787ba8..ac0d265a961f0 100644
--- a/vllm/model_executor/models/mamba.py
+++ b/vllm/model_executor/models/mamba.py
@@ -1,5 +1,5 @@
 """PyTorch MAMBA model."""
-from typing import Iterable, List, Optional, Set, Tuple
+from typing import Iterable, List, Optional, Tuple
 
 import torch
 from torch import nn
@@ -243,10 +243,8 @@ def sample(
         next_tokens = self.sampler(logits, sampling_metadata)
         return next_tokens
 
-    def load_weights(self, weights: Iterable[Tuple[str,
-                                                   torch.Tensor]]) -> Set[str]:
+    def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
         params_dict = dict(self.named_parameters())
-        loaded_params: Set[str] = set()
         for name, loaded_weight in weights:
             if "A_log" in name:
                 name = name.replace("A_log", "A")
@@ -258,5 +256,3 @@ def load_weights(self, weights: Iterable[Tuple[str,
             weight_loader = getattr(param, "weight_loader",
                                     default_weight_loader)
             weight_loader(param, loaded_weight)
-            loaded_params.add(name)
-        return loaded_params
diff --git a/vllm/model_executor/models/mlp_speculator.py b/vllm/model_executor/models/mlp_speculator.py
index f2aa2653c4f5c..d49da5f29aa14 100644
--- a/vllm/model_executor/models/mlp_speculator.py
+++ b/vllm/model_executor/models/mlp_speculator.py
@@ -193,7 +193,8 @@ def load_weights(self, weights: Iterable[Tuple[str,
         params_dict = dict(self.named_parameters())
         loaded_params: Set[str] = set()
         for name, loaded_weight in weights:
-            param = params_dict.get(name.replace("speculator.", ""))
+            name = name.replace("speculator.", "")
+            param = params_dict.get(name)
             if param is not None:
                 weight_loader = getattr(param, "weight_loader",
                                         default_weight_loader)