diff --git a/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md b/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md
index 64244e20..66de46aa 100644
--- a/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md
+++ b/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md
@@ -3,6 +3,9 @@
    < <b>English</b> | <a href='./llamacpp_portable_zip_gpu_quickstart.zh-CN.md'>中文</a> >
 </p>
 
+>[!Important]
+> We can now run **DeepSeek-R1-671B-Q4_K_M** with 1 or 2 Arc A770 on Xeon using the latest [llama.cpp Portable Zip](#flashmoe-for-deepseek-v3r1).
+
 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]
@@ -23,7 +26,7 @@ This guide demonstrates how to use [llama.cpp portable zip](https://github.com/i
   - [Step 1: Download and Extract](#step-1-download-and-extract)
   - [Step 2: Runtime Configuration](#step-2-runtime-configuration-1)
   - [Step 3: Run GGUF models](#step-3-run-gguf-models-1)
-  - [(New) FlashMoE for MoE Models (e.g., DeepSeek V3/R1) using llama.cpp](#flashmoe-for-deepseek-v3r1)
+  - [(New) FlashMoE for DeepSeek V3/R1 using llama.cpp](#flashmoe-for-deepseek-v3r1)
 - [Tips & Troubleshooting](#tips--troubleshooting)
   - [Error: Detected different sycl devices](#error-detected-different-sycl-devices)
   - [Multi-GPUs usage](#multi-gpus-usage)
diff --git a/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md b/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md
index 39cf0173..c40811fc 100644
--- a/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md
+++ b/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.zh-CN.md
@@ -5,6 +5,9 @@
      
 本指南演示如何使用 [llama.cpp portable zip](https://github.com/intel/ipex-llm/releases/tag/v2.2.0-nightly) 通过 `ipex-llm` 在 Intel GPU 上直接免安装运行。
 
+> [!Important]
+> 使用最新 [llama.cpp Portable Zip](#flashmoe-运行-deepseek-v3r1), 可以在 Xeon 上通过1到2张 Arc A770 GPU 运行 **DeepSeek-R1-671B-Q4_K_M**
+
 > [!NOTE]
 > llama.cpp portable zip 在如下设备上进行了验证：
 > - Intel Core Ultra processors