diff --git a/doc/Latest_Packages_CN.md b/doc/Latest_Packages_CN.md
index 8f0d1e5789f0b0c357c51e2c90fd173d7141b1fb..efd26bc805ee0ac6ba083a32c8197d0499f35445 100644
--- a/doc/Latest_Packages_CN.md
+++ b/doc/Latest_Packages_CN.md
@@ -41,31 +41,10 @@ https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.0.0-cp
 https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_app-0.0.0-py3-none-any.whl
 ```
 
-## Baidu Kunlun user
-for kunlun user who uses arm-xpu or x86-xpu can download the wheel packages as follows. Users should use the xpu-beta docker [DOCKER IMAGES](./Docker_Images_CN.md) 
-**We only support Python 3.6 for Kunlun Users.**
-
-### Wheel Package Links
-
-for arm kunlun user
-```
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_server_xpu-0.7.0.post2-cp36-cp36m-linux_aarch64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_client-0.7.0-cp36-cp36m-linux_aarch64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_app-0.7.0-cp36-cp36m-linux_aarch64.whl
-```
- 
-for x86 kunlun user
-``` 
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_server_xpu-0.7.0.post2-cp36-cp36m-linux_x86_64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_client-0.7.0-cp36-cp36m-linux_x86_64.whl
-https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_app-0.7.0-cp36-cp36m-linux_x86_64.whl
-```
-
-
-### Binary Package
+## Binary Package
 for most users, we do not need to read this section. But if you deploy your Paddle Serving on a machine without network, you will encounter a problem that the binary executable tar file cannot be downloaded. Therefore, here we give you all the download links for various environment.
 
-#### Bin links
+### Bin links
 ```
 # CPU AVX MKL
 https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-avx-mkl-0.0.0.tar.gz
@@ -83,9 +62,32 @@ https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-1028-0.0.0.tar.gz
 https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-112-0.0.0.tar.gz
 ```
 
-#### How to setup SERVING_BIN offline?
+### How to setup SERVING_BIN offline?
 
 - download the serving server whl package and bin package, and make sure they are for the same environment
 - download the serving client whl and serving app whl, pay attention to the Python version.
 - `pip install ` the serving and `tar xf ` the binary package, then `export SERVING_BIN=$PWD/serving-gpu-cuda11-0.0.0/serving` (take Cuda 11 as the example)
 
+
+
+## Baidu Kunlun user
+for kunlun user who uses arm-xpu or x86-xpu can download the wheel packages as follows. Users should use the xpu-beta docker [DOCKER IMAGES](./Docker_Images_CN.md) 
+**We only support Python 3.6 for Kunlun Users.**
+
+### Wheel Package Links
+
+for arm kunlun user
+```
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_server_xpu-0.7.0.post2-cp36-cp36m-linux_aarch64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_client-0.7.0-cp36-cp36m-linux_aarch64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_app-0.7.0-cp36-cp36m-linux_aarch64.whl
+```
+ 
+for x86 kunlun user
+``` 
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_server_xpu-0.7.0.post2-cp36-cp36m-linux_x86_64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_client-0.7.0-cp36-cp36m-linux_x86_64.whl
+https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_app-0.7.0-cp36-cp36m-linux_x86_64.whl
+```
+
+