diff --git a/README.md b/README.md
index 52c1e31b..deef7028 100644
--- a/README.md
+++ b/README.md
@@ -33,7 +33,11 @@ By using vLLM Ascend plugin, popular open-source models, including Transformer-l
 ## Prerequisites
 
 - Hardware: Atlas 800I A2 Inference series, Atlas A2 Training series
-- Software: vLLM (the same version as vllm-ascned), Python >= 3.9, CANN >= 8.0.RC2, PyTorch >= 2.4.0, torch-npu >= 2.4.0
+- Software:
+  * Python >= 3.9
+  * CANN >= 8.0.RC2
+  * PyTorch >= 2.4.0, torch-npu >= 2.4.0
+  * vLLM (the same version as vllm-ascend)
 
 Find more about how to setup your environment step by step in [here](docs/installation.md).
 
@@ -64,7 +68,7 @@ Run the following command to start the vLLM server with the [Qwen/Qwen2.5-0.5B-I
 vllm serve Qwen/Qwen2.5-0.5B-Instruct
 curl http://localhost:8000/v1/models
 ```
-**Please refer to [Official Docs](./docs/index.md) for more details.**
+**Please refer to [official docs](./docs/index.md) for more details.**
 
 ## Contributing
 See [CONTRIBUTING](./CONTRIBUTING.md) for more details, which is a step-by-step guide to help you set up development environment, build and test.
diff --git a/README.zh.md b/README.zh.md
index f5addc46..b162cbf5 100644
--- a/README.zh.md
+++ b/README.zh.md
@@ -33,9 +33,13 @@ vLLM 昇腾插件 (`vllm-ascend`) 是一个让vLLM在Ascend NPU无缝运行的
 ## 准备
 
 - 硬件：Atlas 800I A2 Inference系列、Atlas A2 Training系列
-- 软件：vLLM（与vllm-ascn​​ed版本相同），Python >= 3.9，CANN >= 8.0.RC2，PyTorch >= 2.4.0，torch-npu >= 2.4.0
+- 软件：
+  * Python >= 3.9
+  * CANN >= 8.0.RC2
+  * PyTorch >= 2.4.0, torch-npu >= 2.4.0
+  * vLLM (与vllm-ascend版本一致)
 
-在[此处](docs/installation.md) 中查找有关如何逐步设置环境的更多信息。
+在[此处](docs/installation.md)，您可以了解如何逐步准备环境。
 
 ## 开始使用
 
diff --git a/docs/installation.md b/docs/installation.md
index b09c6d35..d2646d52 100644
--- a/docs/installation.md
+++ b/docs/installation.md
@@ -1,26 +1,6 @@
 # Installation
 
-
-## Building
-
-#### Build Python package from source
-
-```bash
-git clone https://github.com/vllm-project/vllm-ascend.git
-cd vllm-ascend
-pip install -e .
-```
-
-#### Build container image from source
-```bash
-git clone https://github.com/vllm-project/vllm-ascend.git
-cd vllm-ascend
-docker build -t vllm-ascend-dev-image -f ./Dockerfile .
-```
-
-### Prepare Ascend NPU environment
-
-### Dependencies
+### 1. Dependencies
 | Requirement  | Supported version | Recommended version | Note |
 | ------------ | ------- | ----------- | ----------- | 
 | Python | >= 3.9 | [3.10](https://www.python.org/downloads/) | Required for vllm |
@@ -28,6 +8,7 @@ docker build -t vllm-ascend-dev-image -f ./Dockerfile .
 | torch-npu    | >= 2.4.0   | [2.5.1rc1](https://gitee.com/ascend/pytorch/releases/tag/v6.0.0.alpha001-pytorch2.5.1)    | Required for vllm-ascend |
 | torch        | >= 2.4.0   | [2.5.1](https://github.com/pytorch/pytorch/releases/tag/v2.5.1)      | Required for torch-npu and vllm required |
 
+### 2. Prepare Ascend NPU environment
 
 Below is a quick note to install recommended version software:
 
@@ -56,3 +37,19 @@ You do not need to install `torch` and `torch_npu` manually, they will be automa
 
 Or follow the instructions provided in the [Ascend Installation Guide](https://ascend.github.io/docs/sources/ascend/quick_install.html) to set up the environment.
 
+### 3. Building
+
+#### Build Python package from source
+
+```bash
+git clone https://github.com/vllm-project/vllm-ascend.git
+cd vllm-ascend
+pip install -e .
+```
+
+#### Build container image from source
+```bash
+git clone https://github.com/vllm-project/vllm-ascend.git
+cd vllm-ascend
+docker build -t vllm-ascend-dev-image -f ./Dockerfile .
+```