diff --git a/vllm/worker/model_runner.py b/vllm/worker/model_runner.py
index 160c0662ce976..322d91d62ce46 100644
--- a/vllm/worker/model_runner.py
+++ b/vllm/worker/model_runner.py
@@ -1346,6 +1346,10 @@ class GPUModelRunnerBase(ModelRunnerBase[TModelInputForGPU]):
 
             self.execute_model(model_input, kv_caches, intermediate_tensors)
             torch.cuda.synchronize()
+            if self.lora_config:
+                # Remove dummy loras.
+                assert self.lora_manager is not None
+                self.remove_all_loras()
             return
 
     def remove_all_loras(self):
diff --git a/vllm/worker/worker.py b/vllm/worker/worker.py
index 24bba79fedd75..1d2884d3ddf51 100644
--- a/vllm/worker/worker.py
+++ b/vllm/worker/worker.py
@@ -264,10 +264,7 @@ class Worker(LocalOrDistributedWorkerBase):
                f"{(available_kv_cache_memory / GiB_bytes):.2f}GiB.")
 
         logger.info(msg)
-
         # Final cleanup
-        if self.model_runner.lora_manager:
-            self.model_runner.remove_all_loras()
         gc.collect()
 
         return num_gpu_blocks, num_cpu_blocks