diff --git a/vllm/model_executor/models/llama.py b/vllm/model_executor/models/llama.py
index f99f1c3643fd..e39a6df843cd 100644
--- a/vllm/model_executor/models/llama.py
+++ b/vllm/model_executor/models/llama.py
@@ -353,7 +353,7 @@ class LlamaModel(nn.Module):
         else:
             self.norm = PPMissingLayer()
 
-        self.aux_hidden_state_layers: tuple[int] = tuple()
+        self.aux_hidden_state_layers = tuple[int, ...]()
 
         self.make_empty_intermediate_tensors = (
             make_empty_intermediate_tensors_factory(
@@ -553,10 +553,10 @@ class LlamaForCausalLM(nn.Module, SupportsLoRA, SupportsPP, SupportsEagle3):
         self.make_empty_intermediate_tensors = (
             self.model.make_empty_intermediate_tensors)
 
-    def set_aux_hidden_state_layers(self, layers: tuple[int]) -> None:
+    def set_aux_hidden_state_layers(self, layers: tuple[int, ...]) -> None:
         self.model.aux_hidden_state_layers = layers
 
-    def get_eagle3_aux_hidden_state_layers(self) -> tuple[int]:
+    def get_eagle3_aux_hidden_state_layers(self) -> tuple[int, ...]:
         num_layers = len(self.model.layers)
         return (2, num_layers // 2, num_layers - 3)
 
diff --git a/vllm/model_executor/models/qwen2.py b/vllm/model_executor/models/qwen2.py
index 801741ecaf3b..27c1e68c6704 100644
--- a/vllm/model_executor/models/qwen2.py
+++ b/vllm/model_executor/models/qwen2.py
@@ -333,7 +333,7 @@ class Qwen2Model(nn.Module):
         else:
             self.norm = PPMissingLayer()
 
-        self.aux_hidden_state_layers: tuple[int] = tuple()
+        self.aux_hidden_state_layers = tuple[int, ...]()
 
     def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
         return self.embed_tokens(input_ids)
@@ -488,10 +488,10 @@ class Qwen2ForCausalLM(nn.Module, SupportsLoRA, SupportsPP, SupportsEagle3):
     def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
         return self.model.get_input_embeddings(input_ids)
 
-    def set_aux_hidden_state_layers(self, layers: tuple[int]) -> None:
+    def set_aux_hidden_state_layers(self, layers: tuple[int, ...]) -> None:
         self.model.aux_hidden_state_layers = layers
 
-    def get_eagle3_aux_hidden_state_layers(self) -> tuple[int]:
+    def get_eagle3_aux_hidden_state_layers(self) -> tuple[int, ...]:
         num_layers = len(self.model.layers)
         return (2, num_layers // 2, num_layers - 3)
 
diff --git a/vllm/model_executor/models/qwen3.py b/vllm/model_executor/models/qwen3.py
index 206020663370..dddb47048a1f 100644
--- a/vllm/model_executor/models/qwen3.py
+++ b/vllm/model_executor/models/qwen3.py
@@ -304,10 +304,10 @@ class Qwen3ForCausalLM(nn.Module, SupportsLoRA, SupportsPP, SupportsEagle3):
         self.make_empty_intermediate_tensors = (
             self.model.make_empty_intermediate_tensors)
 
-    def set_aux_hidden_state_layers(self, layers: tuple[int]) -> None:
+    def set_aux_hidden_state_layers(self, layers: tuple[int, ...]) -> None:
         self.model.aux_hidden_state_layers = layers
 
-    def get_eagle3_aux_hidden_state_layers(self) -> tuple[int]:
+    def get_eagle3_aux_hidden_state_layers(self) -> tuple[int, ...]:
         num_layers = len(self.model.layers)
         return (2, num_layers // 2, num_layers - 3)