diff --git a/run_file/DynamicKV-LLM_Mini_Minimind.sh b/run_file/DynamicKV-LLM_Mini_Minimind.sh
index 1c8d15d..483c194 100644
--- a/run_file/DynamicKV-LLM_Mini_Minimind.sh
+++ b/run_file/DynamicKV-LLM_Mini_Minimind.sh
@@ -1,8 +1,8 @@
 #!/bin/bash
 
 # 激活conda环境
-source $(conda info --base)/etc/profile.d/conda.sh
-conda activate ycz_accelerate
+# source $(conda info --base)/etc/profile.d/conda.sh
+# conda activate ycz_accelerate
 
 # 设置环境变量以帮助调试
 export NCCL_DEBUG=INFO
@@ -27,8 +27,7 @@ export PYTHONFAULTHANDLER=1
 
 # 方法2: 使用命令行参数直接配置accelerate
 CUDA_VISIBLE_DEVICES=0 accelerate launch \
-    --multi_gpu \
-    --num_processes=4 \
+    --num_processes=1 \
     --mixed_precision=bf16 \
     --main_process_port=29500 \
     train_pretrain_accelerate.py \
diff --git a/train_pretrain_accelerate.py b/train_pretrain_accelerate.py
index 4197e56..58b8ea7 100644
--- a/train_pretrain_accelerate.py
+++ b/train_pretrain_accelerate.py
@@ -339,9 +339,9 @@ def main():
     # 我们已经将复数版本的pos_cis替换为实数版本的pos_cis_real
     # 但为了安全起见，我们仍然将其设置为不参与分布式训练
     if hasattr(model, "pos_cis_real"):
-        Logger(f'检测到pos_cis_real实数张量，将其设置为不参与分布式训练', accelerator)
+        Logger(f'检测到pos_cis_real实数张量，将其设置为参与分布式训练', accelerator)
         # 设置模型的_ddp_params_and_buffers_to_ignore属性
-        model._ddp_params_and_buffers_to_ignore = {"pos_cis_real"}
+        # model._ddp_params_and_buffers_to_ignore = {"pos_cis_real"}
     # 兼容旧版本，检查是否仍有pos_cis
     elif hasattr(model, "pos_cis"):
         Logger(f'检测到pos_cis复数张量，将其设置为不参与分布式训练', accelerator)