diff --git a/docs/CN/source/getting_started/installation.rst b/docs/CN/source/getting_started/installation.rst
index 4a28cc6d1..bf96a9eee 100755
--- a/docs/CN/source/getting_started/installation.rst
+++ b/docs/CN/source/getting_started/installation.rst
@@ -76,12 +76,29 @@ Lightllm 是一个纯python开发的推理框架,其中的算子使用triton
$ git clone https://github.com/ModelTC/lightllm.git
$ cd lightllm
$
- $ # 安装lightllm的依赖 (cuda 12.8)
- $ pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu124
+ $ # 安装lightllm的依赖 (CUDA 13.0)
+ $ pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu130
$
$ # 安装lightllm的依赖 (摩尔线程 GPU)
$ ./generate_requirements_musa.sh
$ pip install -r requirements-musa.txt
$
$ # 安装lightllm
- $ python setup.py install
\ No newline at end of file
+ $ python setup.py install
+
+使用 uv 安装
+----------------
+
+也可以使用 `uv `_ 安装 Lightllm:
+
+.. code-block:: console
+
+ $ # 创建 Python 3.10 虚拟环境
+ $ uv venv --python 3.10
+ $ source .venv/bin/activate
+ $
+ $ # 安装 Lightllm 依赖 (CUDA 13.0)
+ $ uv pip install -r requirements.txt --torch-backend=cu130
+ $
+ $ # 安装 Lightllm
+ $ uv pip install -e .
diff --git a/docs/EN/source/getting_started/installation.rst b/docs/EN/source/getting_started/installation.rst
index e008ac14c..6627a9940 100755
--- a/docs/EN/source/getting_started/installation.rst
+++ b/docs/EN/source/getting_started/installation.rst
@@ -78,12 +78,29 @@ You can also install Lightllm from source:
$ git clone https://github.com/ModelTC/lightllm.git
$ cd lightllm
$
- $ # Install Lightllm dependencies (cuda 12.8)
- $ pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu124
+ $ # Install Lightllm dependencies (CUDA 13.0)
+ $ pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu130
$
$ # Install Lightllm dependencies (Moore Threads GPU)
$ ./generate_requirements_musa.sh
$ pip install -r requirements-musa.txt
$
$ # Install Lightllm
- $ python setup.py install
\ No newline at end of file
+ $ python setup.py install
+
+Installation with uv
+--------------------
+
+You can also install Lightllm with `uv `_:
+
+.. code-block:: console
+
+ $ # Create a new virtual environment with Python 3.10
+ $ uv venv --python 3.10
+ $ source .venv/bin/activate
+ $
+ $ # Install Lightllm dependencies (CUDA 13.0)
+ $ uv pip install -r requirements.txt --torch-backend=cu130
+ $
+ $ # Install Lightllm
+ $ uv pip install -e .