diff --git a/train_sft_ds.py b/train_sft_ds.py
index 99824c9..141fee3 100644
--- a/train_sft_ds.py
+++ b/train_sft_ds.py
@@ -11,7 +11,7 @@ from typing import Dict, List, Iterable, Iterator, Tuple, Optional
 import torch
 import torch.distributed as dist
 from torch.utils.data import IterableDataset, Dataset
-from contextlib import nullcontext
+# from contextlib import nullcontext
 
 
 from datasets import load_dataset
@@ -24,7 +24,7 @@ from transformers import (
 )
 from transformers.trainer_callback import TrainerCallback
 from transformers.trainer_utils import get_last_checkpoint
-from transformers.deepspeed import HfDeepSpeedConfig
+
 
 
 # ----------------- 进程工具 -----------------
@@ -379,14 +379,10 @@ def parse_args():
 
 # ----------------- 主函数 -----------------
 def main():
+
     args = parse_args()
     set_seed(args.seed)
 
-    if args.report_to == "wandb":
-        os.environ.setdefault("WANDB_PROJECT", args.wandb_project)
-
-
-    # -------- 调试打印工具（每个 rank 都打）--------
     host = socket.gethostname()
     def dbg(msg):
         print(
@@ -395,6 +391,34 @@ def main():
             flush=True
         )
 
+    # 是否真的启用 DeepSpeed（传了配置文件且文件存在）
+    use_ds = bool(args.deepspeed and os.path.isfile(args.deepspeed))
+
+    dschf = None
+    if use_ds:
+        try:
+            from transformers.integrations.deepspeed import HfDeepSpeedConfig
+            src = "transformers.integrations.deepspeed"
+        except Exception:
+            try:
+                # 备用：部分版本直接从 transformers 暴露
+                from transformers import HfDeepSpeedConfig
+                src = "transformers"
+            except Exception as e:
+                raise RuntimeError(
+                    "当前 transformers 版本未提供 HfDeepSpeedConfig，请升级/降级 transformers") from e
+        dschf = HfDeepSpeedConfig(args.deepspeed)
+        dbg(f"HfDeepSpeedConfig loaded from {src}")
+
+
+    if args.report_to == "wandb":
+        os.environ.setdefault("WANDB_PROJECT", args.wandb_project)
+
+
+    # -------- 调试打印工具（每个 rank 都打）--------
+    # host = socket.gethostname()
+
+
     # 版本 & 启动参数 & 关键环境变量
     import transformers as hf
     try:
@@ -485,10 +509,10 @@ def main():
     dtype = (torch.bfloat16 if use_bf16 else
             (torch.float16 if torch.cuda.is_available() else torch.float32))
 
-    dschf = None
-    if args.deepspeed and os.path.isfile(args.deepspeed):
-        dschf = HfDeepSpeedConfig(args.deepspeed)   # ← 关键：提前启用插件
-        dbg("HfDeepSpeedConfig loaded")
+    # dschf = None
+    # if args.deepspeed and os.path.isfile(args.deepspeed):
+    #     dschf = HfDeepSpeedConfig(args.deepspeed)   # ← 关键：提前启用插件
+    #     dbg("HfDeepSpeedConfig loaded")
 
 
     # try:
@@ -554,7 +578,7 @@ def main():
             pass
 
     # ===== 数据鲁棒性检查（多机各自执行）=====
-    host = socket.gethostname()
+    # host = socket.gethostname()
 
     files = sorted(glob.glob(args.data_glob))
     if len(files) == 0:
@@ -756,7 +780,8 @@ def main():
         logging_steps=args.log_interval,
         save_steps=args.save_steps,
         save_total_limit=2,
-        deepspeed=(args.deepspeed if args.deepspeed and os.path.isfile(args.deepspeed) else None),
+        # deepspeed=(args.deepspeed if args.deepspeed and os.path.isfile(args.deepspeed) else None),
+        deepspeed=(args.deepspeed if use_ds else None),
         dataloader_drop_last=False,
         dataloader_num_workers=0,
         per_device_eval_batch_size=args.per_device_eval_batch_size,