diff --git a/plugins/mindspore-deepseek/config.yaml b/plugins/mindspore-deepseek/config.yaml
index f82a4b37e4ee46f952240cbd9507f32d6426fc40..2f18c2ab09e3ed24006d9dbe8113f220201051d4 100644
--- a/plugins/mindspore-deepseek/config.yaml
+++ b/plugins/mindspore-deepseek/config.yaml
@@ -18,8 +18,8 @@
 
   vars:
     # 容器镜像
-    image_name: hub.oepkgs.net/oedeploy/openeuler/aarch64/mindspore
-    image_tag: latest
+    image_name: hub.oepkgs.net/oedeploy/openeuler/aarch64/deepseek_hyperinfer
+    image_tag: openeuler22.03-py3.11
     # 推理服务所在容器的名称
     container_name: openeuler_ds
     # 模型路径
diff --git a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/net_check.sh b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/net_check.sh
index a68fa40a06c2caff95d7e2699d1247c485996271..cca835c4b7ab003a9f2bdd52b92c963e28824e32 100644
--- a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/net_check.sh
+++ b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/net_check.sh
@@ -24,7 +24,6 @@ for i in {0..7}; do
     hccn_tool -i $i -net_health -g | grep -i 'Success'
     if [ $? -ne 0 ]; then
         echo "节点npu设备 $i 检测net_health不为Success"
-        exit 1
     fi
 done
 
diff --git a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/ray_start.sh b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/ray_start.sh
index 42811d71b49d6b6efa9d06bf7961292bb8bad8e0..e1dcaa78cdba6845a11ed553227c9bc4e0ea657c 100644
--- a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/ray_start.sh
+++ b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/ray_start.sh
@@ -3,8 +3,9 @@ current_path=$(
     cd $(dirname $0/)
     pwd
 )
+ENV_FILE=/root/.bashrc
 source $current_path/config.cfg
-source /root/.bashrc
+source $ENV_FILE
 ray_start() {
     ps -ef | grep "python" | grep -v grep | awk '{print $2}' | xargs kill
     ray stop
diff --git a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/set_env.sh b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/set_env.sh
index 8c8565d75528dc14215196b88ee4178d4c6897b8..7a40ea3b5b3479919fe7ad282e9e8a548937a147 100644
--- a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/set_env.sh
+++ b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/set_env.sh
@@ -18,6 +18,7 @@ export MS_DEV_RUNTIME_CONF="parallel_dispatch_kernel:True"
 export MS_ALLOC_CONF="enable_vmm:False"
 export ASCEND_RT_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 export ASCEND_TOTAL_MEMORY_GB=64
+export HCCL_CONNECT_TIMEOUT=3600
 '
 
 RAY_ENV="
@@ -25,15 +26,21 @@ export GLOO_SOCKET_IFNAME=$RAY_DEVICE
 export TP_SOCKET_IFNAME=$RAY_DEVICE
 "
 
-W8A8_ENV='export MINDFORMERS_MODEL_CONFIG=/root/miniconda3/lib/python3.11/site-packages/research/deepseek3/deepseek3_671b/predict_deepseek3_671b_w8a8.yaml'
+if [ $NODE_NUM -eq 2 ]; then
+	YAML_ENV='export MINDFORMERS_MODEL_CONFIG=/root/miniconda3/lib/python3.11/site-packages/research/deepseek3/deepseek_r1_671b/predict_deepseek_r1_671b_w8a8.yaml'
+elif [ $NODE_NUM -eq 4 ]; then
+	YAML_ENV='export MINDFORMERS_MODEL_CONFIG=/root/miniconda3/lib/python3.11/site-packages/research/deepseek3/deepseek_r1_671b/predict_deepseek_r1_671b.yaml'
+fi
+
+ENV_FILE=/root/.bashrc
 
 if grep -q "openeuler_deepseek_env_config" /root/.bashrc; then
     echo "存在已配置的环境变量，详见容器内/root/.bashrc"
     exit 0
 fi
 
-echo "$ENV_ARG" >> /root/.bashrc
-echo "$RAY_ENV" >> /root/.bashrc
-echo "$W8A8_ENV" >> /root/.bashrc
-source /root/.bashrc
+echo "$ENV_ARG" >> $ENV_FILE
+echo "$RAY_ENV" >> $ENV_FILE
+echo "$YAML_ENV" >> $ENV_FILE
+source $ENV_FILE
 
diff --git a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/start_ds.sh b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/start_ds.sh
index 83eb0bae33aaff0205b7ba5d6ee407ac2a58ff8b..569c68e3d97d58f804dc7c987db40bf548c915d0 100644
--- a/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/start_ds.sh
+++ b/plugins/mindspore-deepseek/workspace/roles/prepare/files/lib/start_ds.sh
@@ -3,8 +3,9 @@ current_path=$(
     cd $(dirname $0/)
     pwd
 )
+ENV_FILE=/root/.bashrc
 source $current_path/config.cfg
-source /root/.bashrc
+source $ENV_FILE
 # 仅主节点运行
 
 ray_status=0
@@ -25,17 +26,17 @@ fi
 
 #拉起服务
 rm -rf ds.log
-nohup python3 -m vllm_mindspore.entrypoints vllm.entrypoints.openai.api_server --model "$MODEL_PATH" --port=$LLM_PORT --trust_remote_code --tensor_parallel_size=16 --max_model_len=1024 --max-num-batched-tokens=1024 --block-size=32 --gpu-memory-utilization=0.95 --distributed-executor-backend=ray > ds.log &
+nohup python3 -m vllm_mindspore.entrypoints vllm.entrypoints.openai.api_server --model "$MODEL_PATH" --port=$LLM_PORT --trust_remote_code --tensor_parallel_size=16 --max_model_len=8192 --max-num-batched-tokens=8192 --block-size=32 --gpu-memory-utilization=0.89 --distributed-executor-backend=ray > ds.log &
 #检测推理服务是否拉起
 llm_status=0
-for i in {1..60}; do
+for i in {1..7200}; do
     netstat -ntlp | grep $LLM_PORT
     if [ $? -eq 0 ]; then
         echo "推理服务已拉起，端口$LLM_PORT已打开"
         llm_status=1
         break
     fi
-    sleep 30
+    sleep 1
 done
 
 if [ $llm_status -eq 0 ]; then
diff --git a/plugins/mindspore-deepseek/workspace/roles/prepare/files/prepare.sh b/plugins/mindspore-deepseek/workspace/roles/prepare/files/prepare.sh
index c88350c8f493588e38487f7fe9c3a45f7b25453a..23cbcfad058ba25b284c095927625cd13f253989 100644
--- a/plugins/mindspore-deepseek/workspace/roles/prepare/files/prepare.sh
+++ b/plugins/mindspore-deepseek/workspace/roles/prepare/files/prepare.sh
@@ -10,9 +10,11 @@ main() {
     set -e
     chmod -R +x $current_path/lib
 
+    systemctl stop firewalld
+    systemctl stop iptables
     # 检测需要部署的节点ip数量
-    if [ $NODE_NUM -ne 2 ]; then
-        echo "当前仅支持两节点部署,当前数量是$NODE_NUM"
+    if [ [ $NODE_NUM -ne 2 ] && [ $NODE_NUM -ne 4 ] ]; then
+        echo "当前仅支持两/四节点部署,当前数量是$NODE_NUM"
         exit 1
     fi