From cdc9b9e063bbd12371b514cdfe61d1130b47e102 Mon Sep 17 00:00:00 2001
From: chensuyue <suyue.chen@intel.com>
Date: Thu, 12 Feb 2026 12:59:03 +0800
Subject: [PATCH 1/2] update readme for Intel xpu usage

Signed-off-by: chensuyue <suyue.chen@intel.com>
---
 README.md | 13 +++++++++++--
 setup.py  |  1 -
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 57c1a4124..bb0b770f6 100644
--- a/README.md
+++ b/README.md
@@ -100,8 +100,13 @@ Includes [multiple gpus quantization](https://github.com/intel/auto-round/blob/m
 # CPU/Intel GPU/CUDA
 pip install auto-round
 
-# HPU
+# HPU/Intel
+# install inside the hpu docker container, e.g. vault.habana.ai/gaudi-docker/1.23.0/ubuntu24.04/habanalabs/pytorch-installer-2.9.0:latest  
 pip install auto-round-hpu
+
+# XPU/Intel
+pip install torch --index-url https://download.pytorch.org/whl/xpu
+pip install auto-round
 ```
 
 <details>
@@ -111,8 +116,12 @@ pip install auto-round-hpu
   # CPU/Intel GPU/CUDA
   pip install .
 
-  # HPU
+  # HPU/Intel
   python setup.py install hpu
+  
+  # XPU/Intel
+  pip install torch --index-url https://download.pytorch.org/whl/xpu
+  pip install .
   ```
 
 </details>
diff --git a/setup.py b/setup.py
index c78aa1d78..2e391a8f1 100644
--- a/setup.py
+++ b/setup.py
@@ -137,7 +137,6 @@ def fetch_requirements(path):
 
     package_name = "auto-round"
 
-    # From v0.9.3, auto-round-hpu will be published to replace auto-round-lib.
     hpu_build = "hpu" in sys.argv
     if hpu_build:
         sys.argv.remove("hpu")

From 260b827476ed3db4faa7956e96ad6da5ec931ef8 Mon Sep 17 00:00:00 2001
From: chensuyue <suyue.chen@intel.com>
Date: Thu, 12 Feb 2026 13:14:24 +0800
Subject: [PATCH 2/2] update chinese readme

Signed-off-by: chensuyue <suyue.chen@intel.com>
---
 README.md    | 12 ++++++------
 README_CN.md | 17 +++++++++++++----
 2 files changed, 19 insertions(+), 10 deletions(-)

diff --git a/README.md b/README.md
index bb0b770f6..c0a643eec 100644
--- a/README.md
+++ b/README.md
@@ -97,14 +97,14 @@ Includes [multiple gpus quantization](https://github.com/intel/auto-round/blob/m
 ### Install from pypi
 
 ```bash
-# CPU/Intel GPU/CUDA
+# CPU(Xeon)/GPU(CUDA)
 pip install auto-round
 
-# HPU/Intel
+# HPU(Gaudi)
 # install inside the hpu docker container, e.g. vault.habana.ai/gaudi-docker/1.23.0/ubuntu24.04/habanalabs/pytorch-installer-2.9.0:latest  
 pip install auto-round-hpu
 
-# XPU/Intel
+# XPU(Intel GPU)
 pip install torch --index-url https://download.pytorch.org/whl/xpu
 pip install auto-round
 ```
@@ -113,13 +113,13 @@ pip install auto-round
   <summary>Build from Source</summary>
 
   ```bash
-  # CPU/Intel GPU/CUDA
+  # CPU(Xeon)/GPU(CUDA)
   pip install .
 
-  # HPU/Intel
+  # HPU(Gaudi)
   python setup.py install hpu
   
-  # XPU/Intel
+  # XPU(Intel GPU)
   pip install torch --index-url https://download.pytorch.org/whl/xpu
   pip install .
   ```
diff --git a/README_CN.md b/README_CN.md
index 54212c74d..4ca044b73 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -86,22 +86,31 @@ AutoRound 是专为大语言模型（LLMs）和视觉-语言模型（VLMs）设
 ### 从 PyPI 安装
 
 ```shell
-# CPU / Intel GPU / CUDA
+# CPU(Xeon)/GPU(CUDA)
 pip install auto-round
 
-# HPU
+# HPU(Gaudi)
+# 在 hpu docker container 中安装, e.g. vault.habana.ai/gaudi-docker/1.23.0/ubuntu24.04/habanalabs/pytorch-installer-2.9.0:latest  
 pip install auto-round-hpu
+
+# XPU(Intel GPU)
+pip install torch --index-url https://download.pytorch.org/whl/xpu
+pip install auto-round
 ```
 
 <details>
   <summary>从源码编译安装</summary>
 
   ```bash
-  # CPU/Intel GPU/CUDA
+  # CPU(Xeon)/GPU(CUDA)
   pip install .
 
-  # HPU
+  # HPU(Gaudi)
   python setup.py install hpu
+  
+  # XPU(Intel GPU)
+  pip install torch --index-url https://download.pytorch.org/whl/xpu
+  pip install .
   ```
 
 </details>