diff --git a/README.md b/README.md
index 6648c980..03c66c82 100644
--- a/README.md
+++ b/README.md
@@ -9,15 +9,16 @@
 > - ***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 initial support of [Ollama Portable Zip](docs/mddocs/Quickstart/ollama_portablze_zip_quickstart.md) to directly run Ollama on Intel GPU (***without the need of manual installations***).
+- [2025/02] We added support of [Ollama Portable Zip](docs/mddocs/Quickstart/ollama_portablze_zip_quickstart.md) to directly run Ollama on Intel GPU (***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.
 - [2025/01] We added support for running [Ollama 0.5.4](docs/mddocs/Quickstart/ollama_quickstart.md) on Intel GPU.
 - [2024/12] We added both ***Python*** and ***C++*** support for Intel Core Ultra [NPU](docs/mddocs/Quickstart/npu_quickstart.md) (including 100H, 200V, 200K and 200H series).
-- [2024/11] We added support for running [vLLM 0.6.2](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) on Intel Arc GPUs.
 
 <details><summary>More updates</summary>
 <br/>
 
+- [2024/11] We added support for running [vLLM 0.6.2](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) on Intel Arc GPUs.
 - [2024/07] We added support for running Microsoft's **GraphRAG** using local LLM on Intel GPU; see the quickstart guide [here](docs/mddocs/Quickstart/graphrag_quickstart.md).
 - [2024/07] We added extensive support for Large Multimodal Models, including [StableDiffusion](python/llm/example/GPU/HuggingFace/Multimodal/StableDiffusion), [Phi-3-Vision](python/llm/example/GPU/HuggingFace/Multimodal/phi-3-vision), [Qwen-VL](python/llm/example/GPU/HuggingFace/Multimodal/qwen-vl), and [more](python/llm/example/GPU/HuggingFace/Multimodal).
 - [2024/07] We added **FP6** support on Intel [GPU](python/llm/example/GPU/HuggingFace/More-Data-Types). 
@@ -176,10 +177,11 @@ Please see the **Perplexity** result below (tested on Wikitext dataset using the
 ## `ipex-llm` Quickstart
 
 ### Use
+- [Ollama Portable Zip](docs/mddocs/Quickstart/ollama_portablze_zip_quickstart.md): running **Ollama** on Intel GPU ***without the need of manual installations***
 - [Arc B580](docs/mddocs/Quickstart/bmg_quickstart.md): running `ipex-llm` on Intel Arc **B580** GPU for Ollama, llama.cpp, PyTorch, HuggingFace, etc.
 - [NPU](docs/mddocs/Quickstart/npu_quickstart.md): running `ipex-llm` on Intel **NPU** in both Python and C++
-- [llama.cpp](docs/mddocs/Quickstart/llama_cpp_quickstart.md): running **llama.cpp** (*using C++ interface of `ipex-llm`*) on Intel GPU
 - [Ollama](docs/mddocs/Quickstart/ollama_quickstart.md): running **ollama** (*using C++ interface of `ipex-llm`*) on Intel GPU
+- [llama.cpp](docs/mddocs/Quickstart/llama_cpp_quickstart.md): running **llama.cpp** (*using C++ interface of `ipex-llm`*) on Intel GPU
 - [PyTorch/HuggingFace](docs/mddocs/Quickstart/install_windows_gpu.md): running **PyTorch**, **HuggingFace**, **LangChain**, **LlamaIndex**, etc. (*using Python interface of `ipex-llm`*) on Intel GPU for [Windows](docs/mddocs/Quickstart/install_windows_gpu.md) and [Linux](docs/mddocs/Quickstart/install_linux_gpu.md)
 - [vLLM](docs/mddocs/Quickstart/vLLM_quickstart.md): running `ipex-llm` in **vLLM** on both Intel [GPU](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) and [CPU](docs/mddocs/DockerGuides/vllm_cpu_docker_quickstart.md)
 - [FastChat](docs/mddocs/Quickstart/fastchat_quickstart.md): running `ipex-llm` in **FastChat** serving on on both Intel GPU and CPU
diff --git a/README.zh-CN.md b/README.zh-CN.md
index 0a186e74..aefdbc3d 100644
--- a/README.zh-CN.md
+++ b/README.zh-CN.md
@@ -9,15 +9,16 @@
 > - ***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 [Ollama Portable Zip](docs/mddocs/Quickstart/ollama_portablze_zip_quickstart.zh-CN.md) 在 Intel GPU 上直接**免安装运行 Ollama**.
+- [2025/02] 新增 [Ollama Portable Zip](docs/mddocs/Quickstart/ollama_portablze_zip_quickstart.zh-CN.md) 在 Intel GPU 上直接**免安装运行 Ollama**。
+- [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。
 - [2025/01] 新增在 Intel GPU 上运行 [Ollama 0.5.4](docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md) 的支持。
 - [2024/12] 增加了对 Intel Core Ultra [NPU](docs/mddocs/Quickstart/npu_quickstart.md)（包括 100H，200V，200K 和 200H 系列）的 **Python** 和 **C++** 支持。
-- [2024/11] 新增在 Intel Arc GPUs 上运行 [vLLM 0.6.2](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) 的支持。
 
 <details><summary>更多更新</summary>
 <br/>
 
+- [2024/11] 新增在 Intel Arc GPUs 上运行 [vLLM 0.6.2](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) 的支持。
 - [2024/07] 新增 Microsoft **GraphRAG** 的支持（使用运行在本地 Intel GPU 上的 LLM），详情参考[快速入门指南](docs/mddocs/Quickstart/graphrag_quickstart.md)。
 - [2024/07] 全面增强了对多模态大模型的支持，包括 [StableDiffusion](python/llm/example/GPU/HuggingFace/Multimodal/StableDiffusion), [Phi-3-Vision](python/llm/example/GPU/HuggingFace/Multimodal/phi-3-vision), [Qwen-VL](python/llm/example/GPU/HuggingFace/Multimodal/qwen-vl)，更多详情请点击[这里](python/llm/example/GPU/HuggingFace/Multimodal)。
 - [2024/07] 新增 Intel GPU 上 **FP6** 的支持，详情参考[更多数据类型样例](python/llm/example/GPU/HuggingFace/More-Data-Types)。 
@@ -176,10 +177,11 @@ See the demo of running [*Text-Generation-WebUI*](https://ipex-llm.readthedocs.i
 ## `ipex-llm` 快速入门
 
 ### 使用
+- [Ollama Portable Zip](docs/mddocs/Quickstart/ollama_portablze_zip_quickstart.zh-CN.md): 在 Intel GPU 上直接**免安装运行 Ollama**。
 - [Arc B580](docs/mddocs/Quickstart/bmg_quickstart.md): 在 Intel Arc **B580** GPU 上运行 `ipex-llm`（包括 Ollama, llama.cpp, PyTorch, HuggingFace 等）
 - [NPU](docs/mddocs/Quickstart/npu_quickstart.md): 在 Intel **NPU** 上运行 `ipex-llm`（支持 Python 和 C++）
-- [llama.cpp](docs/mddocs/Quickstart/llama_cpp_quickstart.zh-CN.md): 在 Intel GPU 上运行 **llama.cpp** (*使用 `ipex-llm` 的 C++ 接口*) 
 - [Ollama](docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md): 在 Intel GPU 上运行 **ollama** (*使用 `ipex-llm` 的 C++ 接口*) 
+- [llama.cpp](docs/mddocs/Quickstart/llama_cpp_quickstart.zh-CN.md): 在 Intel GPU 上运行 **llama.cpp** (*使用 `ipex-llm` 的 C++ 接口*) 
 - [PyTorch/HuggingFace](docs/mddocs/Quickstart/install_windows_gpu.zh-CN.md): 使用 [Windows](docs/mddocs/Quickstart/install_windows_gpu.zh-CN.md) 和 [Linux](docs/mddocs/Quickstart/install_linux_gpu.zh-CN.md) 在 Intel GPU 上运行 **PyTorch**、**HuggingFace**、**LangChain**、**LlamaIndex** 等 (*使用 `ipex-llm` 的 Python 接口*) 
 - [vLLM](docs/mddocs/Quickstart/vLLM_quickstart.md): 在 Intel [GPU](docs/mddocs/DockerGuides/vllm_docker_quickstart.md) 和 [CPU](docs/mddocs/DockerGuides/vllm_cpu_docker_quickstart.md) 上使用 `ipex-llm` 运行 **vLLM** 
 - [FastChat](docs/mddocs/Quickstart/fastchat_quickstart.md): 在 Intel GPU 和 CPU 上使用 `ipex-llm` 运行 **FastChat** 服务