diff --git a/README.md b/README.md
index c8796b7..059b89f 100644
--- a/README.md
+++ b/README.md
@@ -3,8 +3,11 @@
 </div>
 
 <div align="center">
+  <a href="https://github.com/zstar1003/ragflow-plus/stargazers"><img src="https://img.shields.io/github/stars/zstar1003/ragflow-plus?style=social" alt="stars"></a>
   <img src="https://img.shields.io/badge/版本-0.4.3-blue" alt="版本">
   <a href="LICENSE"><img src="https://img.shields.io/badge/许可证-AGPL3.0-green" alt="许可证"></a>
+  <a href="https://hub.docker.com/r/zstar1003/ragflowplus/tags"><img src="https://img.shields.io/docker/pulls/zstar1003/ragflowplus" alt="docker pulls"></a>
+
   <h4>
     <a href="README.md">🇨🇳 中文</a>
     <span> | </span>
diff --git a/README_EN.md b/README_EN.md
index 9a84a93..c5c15c0 100644
--- a/README_EN.md
+++ b/README_EN.md
@@ -3,8 +3,10 @@
 </div>
 
 <div align="center">
+  <a href="https://github.com/zstar1003/ragflow-plus/stargazers"><img src="https://img.shields.io/github/stars/zstar1003/ragflow-plus?style=social" alt="stars"></a>
   <img src="https://img.shields.io/badge/version-0.4.3-blue" alt="Version">
   <a href="LICENSE"><img src="https://img.shields.io/badge/license-AGPL3.0-green" alt="License"></a>
+  <a href="https://hub.docker.com/r/zstar1003/ragflowplus/tags"><img src="https://img.shields.io/docker/pulls/zstar1003/ragflowplus" alt="docker pulls"></a>
   <h4>
     <a href="README.md">🇨🇳 Chinese</a>
     <span> | </span>
diff --git a/docs/question/README.md b/docs/question/README.md
index 3f04697..4f30452 100644
--- a/docs/question/README.md
+++ b/docs/question/README.md
@@ -50,6 +50,21 @@ netsh int ipv4 add excludedportrange protocol=tcp startport=5455 numberofport
 net start winnat
 ```
 
+## 问题 9：MinerU GPU 加速似乎只调用了第一张显卡，如何指定其它显卡？
+
+**回答：** MinerU 1.x 本身无法指定具体所用显卡，且不支持多显卡部署，可通过以下方式去限定后端容器所能利用的显卡id。
+
+修改`docker\docker-compose_gpu.yml`：
+
+```bash
+deploy:
+  resources:
+    reservations:
+      devices:
+        - driver: nvidia
+          capabilities: [gpu]
+          device_ids: ["2"]  # 使用索引号指定id为2的显卡
+```
 
 --- 
 
diff --git a/docs/skill/README.md b/docs/skill/README.md
index 0bbc2fd..77b3c22 100644
--- a/docs/skill/README.md
+++ b/docs/skill/README.md
@@ -12,7 +12,13 @@ docker启动：
 docker compose -f docker/docker-compose_gpu.yml up -d
 ```
 
-若启动失败，可通过以下方式增加docker对gpu加速的支持。
+若启动后，发现容器找不到显卡信息，则需要再单独安装nvidia-container-runtime：
+
+```bash
+sudo apt install nvidia-container-runtime
+```
+
+若上述未能解决，可考虑使用以下备用方案：
 
 ```bash
 # 575为具体版本号，可根据具体gpu型号选择合适的版本
@@ -20,7 +26,6 @@ sudo apt install nvidia-cuda-toolkit
 sudo apt install nvidia-container-toolkit
 sudo apt install nvidia-fabricmanager-575
 sudo apt install libnvidia-nscq-575
-sudo apt install nvidia-container-runtime
 sudo systemctl start nvidia-fabricmanager
 sudo systemctl enable nvidia-fabricmanager
 sudo systemctl status nvidia-fabricmanager