diff --git a/python/sglang/srt/models/qwen3_moe.py b/python/sglang/srt/models/qwen3_moe.py
index c0e2d284ed1d..550047116276 100644
--- a/python/sglang/srt/models/qwen3_moe.py
+++ b/python/sglang/srt/models/qwen3_moe.py
@@ -1173,15 +1173,11 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
                         logger.warning(f"Parameter {name} not found in params_dict")
 
         if not hasattr(self, "routed_experts_weights_of_layer"):
-            self.routed_experts_weights_of_layer = LazyValue(
-                lambda: {
-                    layer_id: self.model.layers[layer_id].mlp.get_moe_weights()
-                    for layer_id in range(self.start_layer, self.end_layer)
-                    if isinstance(
-                        self.model.layers[layer_id].mlp, Qwen3MoeSparseMoeBlock
-                    )
-                }
-            )
+            self.routed_experts_weights_of_layer = {
+                layer_id: self.model.layers[layer_id].mlp.get_moe_weights()
+                for layer_id in range(self.start_layer, self.end_layer)
+                if isinstance(self.model.layers[layer_id].mlp, Qwen3MoeSparseMoeBlock)
+            }
 
     @classmethod
     def get_model_config_for_expert_location(cls, config):