diff --git a/docs/mddocs/Overview/install_gpu.md b/docs/mddocs/Overview/install_gpu.md
index 639c49fa9a8..8a9931694e8 100644
--- a/docs/mddocs/Overview/install_gpu.md
+++ b/docs/mddocs/Overview/install_gpu.md
@@ -46,7 +46,7 @@ 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 Series 2 (a.k.a. Lunar Lake) with Intel Arc™ Graphics**:
+- For **Intel Core™ Ultra Series 2 with Intel Arc™ Graphics (a.k.a. Lunar Lake)**:
 
    Choose either US or CN website for `extra-index-url`:
 
@@ -94,7 +94,7 @@ The easiest ways to install `ipex-llm` is the following commands.
 
 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 Series 2 (a.k.a. Lunar Lake) with Intel Arc™ Graphics**:
+- For **Intel Core™ Ultra Series 2 with Intel Arc™ Graphics (a.k.a. Lunar Lake)**:
 
    Download the wheels on Windows system:
 
diff --git a/docs/mddocs/Quickstart/install_windows_gpu.md b/docs/mddocs/Quickstart/install_windows_gpu.md
index 0d90d99958c..f18d3578953 100644
--- a/docs/mddocs/Quickstart/install_windows_gpu.md
+++ b/docs/mddocs/Quickstart/install_windows_gpu.md
@@ -47,7 +47,7 @@ conda activate llm
 
 With the `llm` environment active, use `pip` to install `ipex-llm` for GPU:
 
-- For **Intel Core™ Ultra Series 2 (a.k.a. Lunar Lake) with Intel Arc™ Graphics**:
+- For **Intel Core™ Ultra Series 2 with Intel Arc™ Graphics (a.k.a. Lunar Lake)**:
 
    Choose either US or CN website for `extra-index-url`:
 
diff --git a/python/llm/setup.py b/python/llm/setup.py
index 5556f3d0974..878d070b21f 100644
--- a/python/llm/setup.py
+++ b/python/llm/setup.py
@@ -275,11 +275,9 @@ def setup_package():
 
 
     oneapi_2024_0_requires = ["dpcpp-cpp-rt==2024.0.2;platform_system=='Windows'",
-                              "mkl-dpcpp==2024.0.0;platform_system=='Windows'",
-                              "onednn==2024.0.0;platform_system=='Windows'"]
+                              "mkl-dpcpp==2024.0.0;platform_system=='Windows'"]
     oneapi_2024_2_requires = ["dpcpp-cpp-rt==2024.2.1;platform_system=='Windows'",
-                              "mkl-dpcpp==2024.2.1;platform_system=='Windows'",
-                              "onednn==2024.2.1;platform_system=='Windows'"]
+                              "mkl-dpcpp==2024.2.1;platform_system=='Windows'"]
     # Linux install with --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
     xpu_21_requires = copy.deepcopy(all_requires)
     for exclude_require in cpu_torch_version:
@@ -303,7 +301,8 @@ def setup_package():
                          "intel-extension-for-pytorch==2.3.110+xpu",
                          "bigdl-core-xe-23==" + CORE_XE_VERSION,
                          "bigdl-core-xe-batch-23==" + CORE_XE_VERSION,
-                         "bigdl-core-xe-addons-23==" + CORE_XE_VERSION]
+                         "bigdl-core-xe-addons-23==" + CORE_XE_VERSION,
+                         "onednn-devel==2024.1.1;platform_system=='Windows'"]
 
     cpp_requires = ["bigdl-core-cpp==" + CORE_XE_VERSION,
                     "onednn-devel==2024.2.1;platform_system=='Windows'"]
@@ -344,6 +343,7 @@ def setup_package():
                         "npu": npu_requires,
                         "xpu-2-1": xpu_21_requires,
                         "xpu-lnl": xpu_lnl_requires,
+                        "xpu-arl": xpu_lnl_requires,
                         "serving": serving_requires,
                         "cpp": cpp_requires,
                         "llama-index": llama_index_requires}, # for internal usage when upstreaming for llama-index