diff --git a/vllm/distributed/eplb/eplb_state.py b/vllm/distributed/eplb/eplb_state.py
index 042acf40d67c2..d5ab61473ab01 100644
--- a/vllm/distributed/eplb/eplb_state.py
+++ b/vllm/distributed/eplb/eplb_state.py
@@ -409,12 +409,14 @@ class EplbState:
             self.expert_rearrangement_step = 0
             self.rearrange(model)
 
-    def rearrange(self,
-                  model: MixtureOfExperts,
-                  is_profile: bool = False,
-                  execute_shuffle: bool = True,
-                  global_expert_load: Optional[torch.Tensor] = None,
-                  rank_mapping: Optional[dict[int, int]] = None) -> None:
+    def rearrange(
+        self,
+        model: MixtureOfExperts,
+        is_profile: bool = False,
+        execute_shuffle: bool = True,
+        global_expert_load: Optional[torch.Tensor] = None,
+        rank_mapping: Optional[dict[int,
+                                    int]] = None) -> Optional[torch.Tensor]:
         """
         Rearrange the experts according to the current load.
         """
@@ -548,6 +550,7 @@ class EplbState:
                 " (profile) " if is_profile else " ",
                 time_end - time_start,
             )
+        return None
 
     @staticmethod
     def recv_state() -> tuple[torch.Tensor, torch.Tensor]:
@@ -613,4 +616,4 @@ def _node_count_with_rank_mapping(
             if is_same_node and node_assignment[other_rank] == 0:
                 node_assignment[other_rank] = next_node_id
 
-    return next_node_id
\ No newline at end of file
+    return next_node_id