diff --git a/README.md b/README.md
index 0eb5d7a5..58d12945 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@
 > - ***70+ models** have been optimized/verified on `ipex-llm` (e.g., Llama, Phi, Mistral, Mixtral, Whisper, DeepSeek, Qwen, ChatGLM, MiniCPM, Qwen-VL, MiniCPM-V and more), with state-of-art **LLM optimizations**, **XPU acceleration** and **low-bit (FP8/FP6/FP4/INT4) support**; see the complete list [here](#verified-models).*
 
 ## Latest Update 🔥 
-- [2025/02] We added support of [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) for Intel GPU and NPU.
+- [2025/02] We added support of [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) for Intel [GPU](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md) and [NPU](docs/mddocs/Quickstart/llama_cpp_npu_portable_zip_quickstart.md).
 - [2025/02] We added support of [Ollama Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) to directly run Ollama on Intel GPU for both [Windows](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.md#windows-quickstart) and [Linux](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.md#linux-quickstart) (***without the need of manual installations***).
 - [2025/02] We added support for running [vLLM 0.6.6](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) on Intel Arc GPUs.
 - [2025/01] We added the guide for running `ipex-llm` on Intel Arc [B580](docs/mddocs/Quickstart/bmg_quickstart.md) GPU.
diff --git a/README.zh-CN.md b/README.zh-CN.md
index 577d9185..ae7a637a 100644
--- a/README.zh-CN.md
+++ b/README.zh-CN.md
@@ -9,7 +9,7 @@
 > - ***70+** 模型已经在 `ipex-llm` 上得到优化和验证（如 Llama, Phi, Mistral, Mixtral, Whisper, DeepSeek, Qwen, ChatGLM, MiniCPM, Qwen-VL, MiniCPM-V 等）, 以获得先进的 **大模型算法优化**, **XPU 加速** 以及 **低比特（FP8FP8/FP6/FP4/INT4）支持**；更多模型信息请参阅[这里](#模型验证)。*
 
 ## 最新更新 🔥 
-- [2025/02] 新增 [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) 在 Intel GPU 和 NPU 上直接**免安装运行 llama.cpp**。
+- [2025/02] 新增 [llama.cpp Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) 在 Intel [GPU](docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md) 和 [NPU](docs/mddocs/Quickstart/llama_cpp_npu_portable_zip_quickstart.zh-CN.md) 上直接**免安装运行 llama.cpp**。
 - [2025/02] 新增 [Ollama Portable Zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) 在 Intel GPU 上直接**免安装运行 Ollama** (包括 [Windows](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.zh-CN.md#windows用户指南) 和 [Linux](docs/mddocs/Quickstart/ollama_portable_zip_quickstart.zh-CN.md#linux用户指南))。
 - [2025/02] 新增在 Intel Arc GPUs 上运行 [vLLM 0.6.6](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) 的支持。
 - [2025/01] 新增在 Intel Arc [B580](docs/mddocs/Quickstart/bmg_quickstart.md) GPU 上运行 `ipex-llm` 的指南。
diff --git a/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md b/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md
index 9a47920b..3df69edf 100644
--- a/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md
+++ b/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md
@@ -1,12 +1,9 @@
-# Run Llama.cpp Portable Zip on Intel GPU with IPEX-LLM
-<p>
-  <b>< English</b> | <a href='./llamacpp_portable_zip_gpu_quickstart.zh-CN.md'>中文</a> >
-</p>
+# Run llama.cpp Portable Zip on Intel GPU with IPEX-LLM
 
 This guide demonstrates how to use [llama.cpp portable zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) to directly run llama.cpp on Intel GPU with `ipex-llm` (without the need of manual installations).
 
 > [!NOTE]
-> Llama.cpp portable zip has been verified on:
+> llama.cpp portable zip has been verified on:
 > - Intel Core Ultra processors
 > - Intel Core 11th - 14th gen processors
 > - Intel Arc A-Series GPU
@@ -36,7 +33,7 @@ Check your GPU driver version, and update it if needed:
 
 ### Step 1: Download and Unzip
 
-Download IPEX-LLM Llama.cpp portable zip for Windows users from the [link](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly).
+Download IPEX-LLM llama.cpp portable zip for Windows users from the [link](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly).
 
 Then, extract the zip file to a folder.