diff --git a/fastdeploy/worker/gpu_model_runner.py b/fastdeploy/worker/gpu_model_runner.py
index c0e689735d4..bc5a58a30d9 100644
--- a/fastdeploy/worker/gpu_model_runner.py
+++ b/fastdeploy/worker/gpu_model_runner.py
@@ -27,7 +27,7 @@
 from paddle import nn
 from paddleformers.utils.log import logger
 
-from fastdeploy.config import FDConfig
+from fastdeploy.config import PREEMPTED_TOKEN_ID, FDConfig
 from fastdeploy.engine.pooling_params import PoolingParams
 from fastdeploy.engine.request import ImagePosition, Request, RequestType
 from fastdeploy.model_executor.graph_optimization.utils import (
@@ -2404,6 +2404,16 @@ def _postprocess(
 
             # 5.1. Async cpy
             post_process_event = paddle.device.cuda.create_event()
+            if envs.FD_USE_GET_SAVE_OUTPUT_V1:
+                # If one query is preempted, there is no sampled token for it, we use token_id PREEMPTED_TOKEN_ID to signal server, abort is finished.
+                paddle.assign(
+                    paddle.where(
+                        self.share_inputs["last_preempted_idx"][: sampler_output.sampled_token_ids.shape[0]] == 1,
+                        PREEMPTED_TOKEN_ID,
+                        sampler_output.sampled_token_ids,
+                    ),
+                    sampler_output.sampled_token_ids,
+                )
             # if not self.speculative_decoding:
             self.share_inputs["sampled_token_ids"].copy_(sampler_output.sampled_token_ids, False)
             if self.speculative_decoding: