diff --git a/docs/mddocs/Overview/install_gpu.md b/docs/mddocs/Overview/install_gpu.md
index 60d05666..c65e9cd4 100644
--- a/docs/mddocs/Overview/install_gpu.md
+++ b/docs/mddocs/Overview/install_gpu.md
@@ -46,93 +46,47 @@ We recommend using [Miniforge](https://conda-forge.org/download/) to create a py
 
 The easiest ways to install `ipex-llm` is the following commands.
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:
+Choose either US or CN website for `extra-index-url`:
 
-   Choose either US or CN website for `extra-index-url`:
+- For **US**:
 
-   - For **US**:
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+   ```
 
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-      ```
+- For **CN**:
 
-   - For **CN**:
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-      ```
-
-- For **other Intel iGPU and dGPU**:
-
-   Choose either US or CN website for `extra-index-url`:
-
-   - For **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-      ```
-
-   - For **CN**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-      ```
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+   ```
 
 #### Install IPEX-LLM From Wheel
 
 If you encounter network issues when installing IPEX, you can also install IPEX-LLM dependencies for Intel XPU from source archives. First you need to download and install torch/torchvision/ipex from wheels listed below before installing `ipex-llm`.
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:
+Download the wheels on Windows system:
 
-   Download the wheels on Windows system:
+```
+wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
+wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
+wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.1.10%2Bxpu-cp311-cp311-win_amd64.whl
+```
 
-   ```
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/lnl/torch-2.3.1%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/lnl/torchvision-0.18.1%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/lnl/intel_extension_for_pytorch-2.3.110%2Bxpu-cp311-cp311-win_amd64.whl
-   ```
+You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
 
-   You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
+```
+pip install torch-2.1.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
+pip install torchvision-0.16.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
+pip install intel_extension_for_pytorch-2.1.10+xpu-cp311-cp311-win_amd64.whl
 
-   ```
-   pip install torch-2.3.1+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install torchvision-0.18.1+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install intel_extension_for_pytorch-2.3.110+xpu-cp311-cp311-win_amd64.whl
-
-   pip install --pre --upgrade ipex-llm[xpu_lnl]
-   ```
-
-- For **other Intel iGPU and dGPU**:
-
-   Download the wheels on Windows system:
-
-   ```
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.1.10%2Bxpu-cp311-cp311-win_amd64.whl
-   ```
-
-   You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
-
-   ```
-   pip install torch-2.1.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install torchvision-0.16.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install intel_extension_for_pytorch-2.1.10+xpu-cp311-cp311-win_amd64.whl
-
-   pip install --pre --upgrade ipex-llm[xpu]
-   ```
+pip install --pre --upgrade ipex-llm[xpu]
+```
 
 > [!NOTE]
 > All the wheel packages mentioned here are for Python 3.11. If you would like to use Python 3.9 or 3.10, you should modify the wheel names for ``torch``, ``torchvision``, and ``intel_extension_for_pytorch`` by replacing ``cp11`` with ``cp39`` or ``cp310``, respectively.
@@ -453,7 +407,7 @@ We recommend using [Miniforge](https://conda-forge.org/download/) to create a py
       > The ``xpu`` option will install IPEX-LLM with PyTorch 2.1 by default, which is equivalent to
       >
       > ```bash
-      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/> xpu/us/
+      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
       > ```
 
    - For **CN**:
@@ -470,7 +424,7 @@ We recommend using [Miniforge](https://conda-forge.org/download/) to create a py
       > The ``xpu`` option will install IPEX-LLM with PyTorch 2.1 by default, which is equivalent to
       >
       > ```bash
-      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/> xpu/cn/
+      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
       > ```
 
 - For **PyTorch 2.0** (deprecated for versions ``ipex-llm >= 2.1.0b20240511``):
diff --git a/docs/mddocs/Quickstart/bmg_quickstart.md b/docs/mddocs/Quickstart/bmg_quickstart.md
index d766f369..dfddaa06 100644
--- a/docs/mddocs/Quickstart/bmg_quickstart.md
+++ b/docs/mddocs/Quickstart/bmg_quickstart.md
@@ -67,27 +67,18 @@ conda activate llm
 With the `llm` environment active, install the appropriate `ipex-llm` package based on your use case:
 
 #### For PyTorch and HuggingFace:
-Install the `ipex-llm[xpu-arc]` package. Choose either the US or CN website for `extra-index-url`:
+Install the `ipex-llm[xpu_2.6]` package:
 
-- For **US**:
-  ```bash
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  ```
-
-- For **CN**:
-  ```bash
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-  ```
+```bash
+pip install --pre --upgrade ipex-llm[xpu_2.6] --extra-index-url https://download.pytorch.org/whl/xpu
+```
 
 #### For llama.cpp and Ollama:
-Install the `ipex-llm[cpp]` package.
+Install the `ipex-llm[cpp]` package:
 
-  ```bash
-  pip install --pre --upgrade ipex-llm[cpp] 
-  ```
-
-> [!NOTE]  
-> If you encounter network issues during installation, refer to the [troubleshooting guide](../Overview/install_gpu.md#install-ipex-llm-from-wheel-1) for alternative steps.
+```bash
+pip install --pre --upgrade ipex-llm[cpp] 
+```
 
 ---
 
@@ -106,7 +97,7 @@ If your driver version is lower than `32.0.101.6449/32.0.101.101.6256`, update i
 Download and install Miniforge for Windows from the [official page](https://conda-forge.org/download/). After installation, create and activate a Python environment:
 
 ```cmd
-conda create -n llm python=3.11 libuv
+conda create -n llm python=3.11
 conda activate llm
 ```
 
@@ -117,27 +108,18 @@ conda activate llm
 With the `llm` environment active, install the appropriate `ipex-llm` package based on your use case:
 
 #### For PyTorch and HuggingFace:
-Install the `ipex-llm[xpu-arc]` package. Choose either the US or CN website for `extra-index-url`:
+Install the `ipex-llm[xpu_2.6]` package:
 
-- For **US**:
-  ```cmd
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  ```
-
-- For **CN**:
-  ```cmd
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-  ```
+```bash
+pip install --pre --upgrade ipex-llm[xpu_2.6] --extra-index-url https://download.pytorch.org/whl/xpu
+```
 
 #### For llama.cpp and Ollama:
-Install the `ipex-llm[cpp]` package. 
+Install the `ipex-llm[cpp]` package.:
 
-  ```cmd
-  pip install --pre --upgrade ipex-llm[cpp] 
-  ```
-
-> [!NOTE]  
-> If you encounter network issues while installing IPEX, refer to [this guide](../Overview/install_gpu.md#install-ipex-llm-from-wheel) for troubleshooting advice.
+```cmd
+pip install --pre --upgrade ipex-llm[cpp] 
+```
 
 ---
 
@@ -166,21 +148,24 @@ Run a Quick PyTorch Example:
    torch.Size([1, 1, 40, 40])
    ```
 
-For benchmarks and performance measurement, refer to the [Benchmark Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/benchmark_quickstart.md).
+> [!TIP]
+> Please refer to here ([Linux](./install_pytorch26_gpu.md#runtime-configurations-1) or [Windows](./install_pytorch26_gpu.md#runtime-configurations)) regarding runtime configurations for PyTorch with IPEX-LLM on B-Series GPU.
+
+For benchmarks and performance measurement, refer to the [Benchmark Quickstart guide](./benchmark_quickstart.md).
 
 ---
 
 ### 3.2 Ollama
 
-To integrate and run with **Ollama**, follow the [Ollama Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/ollama_quickstart.md).
+To integrate and run with **Ollama**, follow the [Ollama Quickstart guide](./ollama_quickstart.md).
 
 ### 3.3 llama.cpp
 
-For instructions on how to run **llama.cpp** with IPEX-LLM, refer to the [llama.cpp Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/llama_cpp_quickstart.md).
+For instructions on how to run **llama.cpp** with IPEX-LLM, refer to the [llama.cpp Quickstart guide](./llama_cpp_quickstart.md).
 
 ### 3.4 vLLM
 
-To set up and run **vLLM**, follow the [vLLM Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/vLLM_quickstart.md).
+To set up and run **vLLM**, follow the [vLLM Quickstart guide](./vLLM_quickstart.md).
 
 ## 4. Troubleshooting
 
diff --git a/docs/mddocs/Quickstart/install_windows_gpu.md b/docs/mddocs/Quickstart/install_windows_gpu.md
index 592fb2b3..070bd6ca 100644
--- a/docs/mddocs/Quickstart/install_windows_gpu.md
+++ b/docs/mddocs/Quickstart/install_windows_gpu.md
@@ -59,49 +59,25 @@ conda activate llm
 
 With the `llm` environment active, use `pip` to install `ipex-llm` for GPU:
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:
+Choose either US or CN website for `extra-index-url`:
 
-   Choose either US or CN website for `extra-index-url`:
+- For **US**:
 
-   - For **US**:
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+   ```
 
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-      ```
+- For **CN**:
 
-   - For **CN**:
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-      ```
-
-- For **other Intel iGPU and dGPU**:
-
-   Choose either US or CN website for `extra-index-url`:
-
-   - For **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-      ```
-
-   - For **CN**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-      ```
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+   ```
 
 > [!NOTE]
 > If you encounter network issues while installing IPEX, refer to [this guide](../Overview/install_gpu.md#install-ipex-llm-from-wheel) for troubleshooting advice.
diff --git a/docs/mddocs/Quickstart/install_windows_gpu.zh-CN.md b/docs/mddocs/Quickstart/install_windows_gpu.zh-CN.md
index 71a8257c..dd6df721 100644
--- a/docs/mddocs/Quickstart/install_windows_gpu.zh-CN.md
+++ b/docs/mddocs/Quickstart/install_windows_gpu.zh-CN.md
@@ -60,47 +60,26 @@ conda activate llm
 ## 安装 `ipex-llm`
 
 在 `llm` 环境处于激活状态下，使用 `pip` 安装适用于 GPU 的 `ipex-llm`。 
-- **对于处理器编号为 2xxV 的第二代 Intel Core™ Ultra Processors (代号 Lunar Lake)**：
 
-  可以根据区域选择不同的 `extra-index-url`，提供 US 和 CN 两个选项：
+可以根据区域选择不同的 `extra-index-url`，提供 US 和 CN 两个选项：
 
-  - **US**:
+- **US**:
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+  ```cmd
+  conda create -n llm python=3.11 libuv
+  conda activate llm
 
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-      ```
-  - **CN**:
+  pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+  ```
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+- **CN**:
 
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-      ```
-- 对于**其他 Intel iGPU 和 dGPU**:
+  ```cmd
+  conda create -n llm python=3.11 libuv
+  conda activate llm
 
-   可以根据区域选择不同的 `extra-index-url`，提供 US 和 CN 两个选项：
-
-   - **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-      ```
-
-   - **CN**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-      ```
+  pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+  ```
 
 > [!NOTE]
 > 如果在安装 IPEX 时遇到网络问题，请参阅[本指南](../Overview/install_gpu.md#install-ipex-llm-from-wheel)获取故障排除建议。
diff --git a/python/llm/example/GPU/GraphMode/README.md b/python/llm/example/GPU/GraphMode/README.md
index c87b8118..46b3bb8e 100644
--- a/python/llm/example/GPU/GraphMode/README.md
+++ b/python/llm/example/GPU/GraphMode/README.md
@@ -6,7 +6,7 @@ Here, we provide how to run [torch graph mode](https://pytorch.org/blog/optimizi
 ```bash
 conda create -n ipex-llm python=3.11
 conda activate ipex-llm
-pip install --pre --upgrade ipex-llm[xpu_arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+pip install --pre --upgrade ipex-llm[xpu_arc]==2.2.0 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
 pip install --pre pytorch-triton-xpu==3.0.0+1b2f15840e --index-url https://download.pytorch.org/whl/nightly/xpu
 conda install -c conda-forge libstdcxx-ng
 unset OCL_ICD_VENDORS
diff --git a/python/llm/example/GPU/HuggingFace/LLM/moonlight/README.md b/python/llm/example/GPU/HuggingFace/LLM/moonlight/README.md
index eb9345d9..a1211679 100644
--- a/python/llm/example/GPU/HuggingFace/LLM/moonlight/README.md
+++ b/python/llm/example/GPU/HuggingFace/LLM/moonlight/README.md
@@ -4,16 +4,16 @@ In this directory, you will find examples on how you could apply IPEX-LLM INT4 o
 
 ## 0. Requirements & Installation
 
-To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../../../README.md#requirements) for more information.
+To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to here ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-prerequisites) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-prerequisites-1)) for more information.
 
 ### 0.1 Installation
 
-```bash
-conda create -n llm python=3.11
-conda activate llm
+Visit [Install IPEX-LLM on Intel GPU with PyTorch 2.6](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md), and follow **Install `ipex-llm`** ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-ipex-llm) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-ipex-llm-1)).
 
-# install IPEX-LLM with PyTorch 2.6 supports
-pip install --pre --upgrade ipex-llm[xpu_2.6] --extra-index-url https://download.pytorch.org/whl/xpu
+Then, install other dependencies for Moonlight model with IPEX-LLM optimizations:
+
+```bash
+conda activate llm-pt26
 
 pip install transformers==4.45.0
 pip install accelerate==0.33.0
@@ -24,23 +24,7 @@ pip install tiktoken blobfile
 
 ### 0.2 Runtime Configuration
 
-- For Windows users:
-  ```cmd
-  set SYCL_CACHE_PERSISTENT=1
-  :: optional
-  set SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
-  ``` 
-
-- For Linux users:
-  ```cmd
-  unset OCL_ICD_VENDOR
-  export SYCL_CACHE_PERSISTENT=1
-  # optional
-  export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
-  ``` 
-
-> [!NOTE]
-> The environment variable `SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS` determines the usage of immediate command lists for task submission to the GPU. Enabling this mode may improve performance, but sometimes this may also cause performance degradation. Please consider experimenting with and without this environment variable for best performance. For more details, you can refer to [this article](https://www.intel.com/content/www/us/en/developer/articles/guide/level-zero-immediate-command-lists.html)
+Visit [Install IPEX-LLM on Intel GPU with PyTorch 2.6](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md), and follow **Runtime Configurations** ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#runtime-configurations) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#runtime-configurations-1)).
 
 ## 1. Download & Convert Model
 
diff --git a/python/llm/example/GPU/HuggingFace/Multimodal/MiniCPM-o-2_6/README.md b/python/llm/example/GPU/HuggingFace/Multimodal/MiniCPM-o-2_6/README.md
index 4b1e3ef3..7da5d664 100644
--- a/python/llm/example/GPU/HuggingFace/Multimodal/MiniCPM-o-2_6/README.md
+++ b/python/llm/example/GPU/HuggingFace/Multimodal/MiniCPM-o-2_6/README.md
@@ -5,31 +5,11 @@ In the following examples, we will guide you to apply IPEX-LLM optimizations on
 
 ## 0. Requirements & Installation
 
-To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../../../README.md#requirements) for more information.
+To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to here ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-prerequisites) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-prerequisites-1)) for more information.
 
 ### 0.1 Install IPEX-LLM
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)** on Windows:
-  ```cmd
-  conda create -n llm python=3.11 libuv
-  conda activate llm
-
-  :: or --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-  pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-  pip install torchaudio==2.3.1.post0 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-  ``` 
-- For **Intel Arc B-Series GPU (code name Battlemage)** on Linux:
-  ```cmd
-  conda create -n llm python=3.11
-  conda activate llm
-
-  # or --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  pip install torchaudio==2.3.1+cxx11.abi --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  ``` 
-
-> [!NOTE]
-> We will update for installation on more Intel GPU platforms.
+Visit [Install IPEX-LLM on Intel GPU with PyTorch 2.6](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md), and follow **Install `ipex-llm`** ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-ipex-llm) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-ipex-llm-1)).
 
 ###  0.2 Install Required Pacakges for MiniCPM-o-2_6
 
@@ -45,18 +25,7 @@ pip install moviepy
 
 ### 0.3 Runtime Configuration
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)** on Windows:
-  ```cmd
-  set SYCL_CACHE_PERSISTENT=1
-  ``` 
-- For **Intel Arc B-Series GPU (code name Battlemage)** on Linux:
-  ```cmd
-  unset OCL_ICD_VENDOR
-  export SYCL_CACHE_PERSISTENT=1
-  ``` 
-
-> [!NOTE]
-> We will update for runtime configuration on more Intel GPU platforms.
+Visit [Install IPEX-LLM on Intel GPU with PyTorch 2.6](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md), and follow **Runtime Configurations** ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#runtime-configurations) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#runtime-configurations-1)).
 
 ## 1. Example: Chat in Omni Mode
 In [omni.py](./omni.py), we show a use case for a MiniCPM-V-2_6 model to chat in omni mode with IPEX-LLM INT4 optimizations on Intel GPUs. In this example, the model will take a video as input, and conduct inference based on the images and audio of this video.
diff --git a/python/llm/example/GPU/HuggingFace/Multimodal/janus-pro/README.md b/python/llm/example/GPU/HuggingFace/Multimodal/janus-pro/README.md
index e7327c45..14592afd 100644
--- a/python/llm/example/GPU/HuggingFace/Multimodal/janus-pro/README.md
+++ b/python/llm/example/GPU/HuggingFace/Multimodal/janus-pro/README.md
@@ -5,29 +5,12 @@ In the following examples, we will guide you to apply IPEX-LLM optimizations on
 
 ## 0. Requirements & Installation
 
-To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../../../README.md#requirements) for more information.
+To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to here ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-prerequisites) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-prerequisites-1)) for more information.
 
 ### 0.1 Install IPEX-LLM
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)** on Windows:
-  ```cmd
-  conda create -n llm python=3.11 libuv
-  conda activate llm
+Visit [Install IPEX-LLM on Intel GPU with PyTorch 2.6](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md), and follow **Install `ipex-llm`** ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-ipex-llm) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#install-ipex-llm-1)).
 
-  :: or --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-  pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-  ``` 
-- For **Intel Arc B-Series GPU (code name Battlemage)** on Linux:
-  ```cmd
-  conda create -n llm python=3.11
-  conda activate llm
-
-  # or --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  ``` 
-
-> [!NOTE]
-> We will update for installation on more Intel GPU platforms.
 
 ###  0.2 Install Required Pacakges for Janus-Pro
 
@@ -55,18 +38,7 @@ cd ..
 
 ### 0.3 Runtime Configuration
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)** on Windows:
-  ```cmd
-  set SYCL_CACHE_PERSISTENT=1
-  ``` 
-- For **Intel Arc B-Series GPU (code name Battlemage)** on Linux:
-  ```bash
-  unset OCL_ICD_VENDOR
-  export SYCL_CACHE_PERSISTENT=1
-  ``` 
-
-> [!NOTE]
-> We will update for runtime configuration on more Intel GPU platforms.
+Visit [Install IPEX-LLM on Intel GPU with PyTorch 2.6](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md), and follow **Runtime Configurations** ([Windows](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#runtime-configurations) or [Linux](../../../../../../../docs/mddocs/Quickstart/install_pytorch26_gpu.md#runtime-configurations-1)).
 
 ## 1. Example: Predict Tokens using `generate()` API
 In [generate.py](./generate.py), we show a use case for a Janus-Pro model to predict the next N tokens using `generate()` API based on text/image inputs, or a combination of two of them, with IPEX-LLM low-bit optimizations on Intel GPUs.
diff --git a/python/llm/setup.py b/python/llm/setup.py
index 672637fb..11d47a20 100644
--- a/python/llm/setup.py
+++ b/python/llm/setup.py
@@ -296,21 +296,6 @@ def setup_package():
     xpu_21_requires += oneapi_2024_0_requires
     # default to ipex 2.1 for linux and windows
     xpu_requires = copy.deepcopy(xpu_21_requires)
-
-    xpu_lnl_requires = copy.deepcopy(all_requires)
-    for exclude_require in cpu_torch_version:
-        xpu_lnl_requires.remove(exclude_require)
-    xpu_lnl_requires += ["torch==2.3.1.post0+cxx11.abi;platform_system=='Windows'",
-                         "torchvision==0.18.1.post0+cxx11.abi;platform_system=='Windows'",
-                         "intel-extension-for-pytorch==2.3.110.post0+xpu;platform_system=='Windows'",
-                         "torch==2.3.1+cxx11.abi;platform_system=='Linux'",
-                         "torchvision==0.18.1+cxx11.abi;platform_system=='Linux'",
-                         "intel-extension-for-pytorch==2.3.110+xpu;platform_system=='Linux'",
-                         "bigdl-core-xe-23==" + CORE_XE_VERSION,
-                         "bigdl-core-xe-batch-23==" + CORE_XE_VERSION,
-                         "bigdl-core-xe-addons-23==" + CORE_XE_VERSION,
-                         "onednn-devel==2024.1.1;platform_system=='Windows'",
-                         "onednn==2024.1.1;platform_system=='Windows'"]
     
     xpu_26_requires = copy.deepcopy(all_requires)
     for exclude_require in cpu_torch_version:
@@ -381,9 +366,6 @@ def setup_package():
                         "xpu": xpu_requires,  # default to ipex 2.1 for linux and windows
                         "npu": npu_requires,
                         "xpu-2-1": xpu_21_requires,
-                        "xpu-lnl": xpu_lnl_requires,
-                        "xpu-arl": xpu_lnl_requires,
-                        "xpu-arc": xpu_lnl_requires,
                         "xpu-2-6": xpu_26_requires,
                         "xpu-2-6-arl": xpu_26_arl_requires,
                         "serving": serving_requires,