diff --git a/docs/readthedocs/source/doc/LLM/Overview/install_gpu.md b/docs/readthedocs/source/doc/LLM/Overview/install_gpu.md
index 1f1de081..b46f39c2 100644
--- a/docs/readthedocs/source/doc/LLM/Overview/install_gpu.md
+++ b/docs/readthedocs/source/doc/LLM/Overview/install_gpu.md
@@ -239,7 +239,7 @@ IPEX-LLM GPU support on Linux has been verified on:
 
             .. code-block:: bash
 
-               sudo apt install -y intel-basekit
+               sudo apt install -y intel-basekit=2024.0.1-43
 
             .. note::
 
diff --git a/docs/readthedocs/source/doc/LLM/Quickstart/install_linux_gpu.md b/docs/readthedocs/source/doc/LLM/Quickstart/install_linux_gpu.md
index 357e35d8..fb508bd1 100644
--- a/docs/readthedocs/source/doc/LLM/Quickstart/install_linux_gpu.md
+++ b/docs/readthedocs/source/doc/LLM/Quickstart/install_linux_gpu.md
@@ -65,7 +65,7 @@ IPEX-LLM currently supports the Ubuntu 20.04 operating system and later, and sup
   
   sudo apt update
 
-  sudo apt install intel-basekit
+  sudo apt install intel-basekit=2024.0.1-43
   ```
   > <img src="https://llm-assets.readthedocs.io/en/latest/_images/oneapi.png" alt="image-20240221102252565" width=100%; />
 
diff --git a/docs/readthedocs/source/doc/LLM/Quickstart/install_windows_gpu.md b/docs/readthedocs/source/doc/LLM/Quickstart/install_windows_gpu.md
index eceb34e6..523d5aba 100644
--- a/docs/readthedocs/source/doc/LLM/Quickstart/install_windows_gpu.md
+++ b/docs/readthedocs/source/doc/LLM/Quickstart/install_windows_gpu.md
@@ -39,7 +39,7 @@ Download and install the latest GPU driver from the [official Intel download pag
   pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0
   ``` -->
 
-Download and install the [**Intel oneAPI Base Toolkit**](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html?operatingsystem=window&distributions=offline). During installation, you can continue with the default installation settings.
+Download and install the [**Intel oneAPI Base Toolkit 2024.0**](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html?operatingsystem=window&distributions=offline). During installation, you can continue with the default installation settings.
 
 <img src="https://llm-assets.readthedocs.io/en/latest/_images/quickstart_windows_gpu_oneapi_offline_installer.png"  width=100%; />
 
diff --git a/python/llm/example/GPU/vLLM-Serving/README.md b/python/llm/example/GPU/vLLM-Serving/README.md
index 301d884d..43ff04fc 100644
--- a/python/llm/example/GPU/vLLM-Serving/README.md
+++ b/python/llm/example/GPU/vLLM-Serving/README.md
@@ -10,7 +10,7 @@ In this example, we will run Llama2-7b model using Arc A770 and provide `OpenAI-
 
 ### 0. Environment
 
-To use Intel GPUs for deep-learning tasks, you should install the XPU driver and the oneAPI Base Toolkit. Please check the requirements at [here](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU#requirements).
+To use Intel GPUs for deep-learning tasks, you should install the XPU driver and the oneAPI Base Toolkit 2024.0. Please check the requirements at [here](https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU#requirements).
 
 After install the toolkit, run the following commands in your environment before starting vLLM GPU:
 ```bash