update v0.0.6

README.md

-# <div align="center"><strong>AutoAWQ_kernel</strong></div>
-## 简介
-AutoAWQ_kernel是一个从AutoAWQ分离出来的一个组件，以减少编译时间
-## 安装
-
-### 使用源码编译方式安装
-
-#### 编译环境准备
-下载光源的镜像，起dcoker
-
-```
-docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-centos7.6-dtk24.04-py310
-
-# <Image ID>用上面拉取docker镜像的ID替换
-# <Host Path>主机端路径
-# <Container Path>容器映射路径
-docker run -it --name baichuan --shm-size=1024G -v /opt/hyhal:/opt/hyhal:ro --device=/dev/kfd --device=/dev/dri/ --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --ulimit memlock=-1:-1 --ipc=host --network host --group-add video -v <Host Path>:<Container Path> <Image ID> /bin/bash
-```
-注：
-1、docker启动  -v /opt/hyhal:/opt/hyhal  这个变量不能少             
-
-#### 源码编译安装
-- 代码下载
-根据不同的需求下载不同的分支
-- 提供2种源码编译方式（进入AutoAWQ目录）：
-```
-1. 源码编译安装
-pip3 install e.
-
-2. 编译成whl包安装
-# 安装wheel 
-python3 setup.py bdist_wheel
-cd dist && pip3 install autoawq*
-```
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+# AutoAWQ Kernels
 
+AutoAWQ Kernels is a new package that is split up from the [main repository](https://github.com/casper-hansen/AutoAWQ) in order to avoid compilation times.
 
+## Requirements
 
+- Windows: Must use WSL2.
 
+- NVIDIA:
+  - GPU: Must be compute capability 7.5 or higher.
+  - CUDA Toolkit: Must be 11.8 or higher.
+- AMD:
+  - ROCm: Must be 5.6 or higher.
 
+## Install
 
+### Install from PyPi
 
+The package is available on PyPi with CUDA 12.1.1 wheels:
 
+```
+pip install autoawq-kernels
+```
 
+### Install release wheels
 
+For ROCm and other CUDA versions, you can use the wheels published at each [release](https://github.com/casper-hansen/AutoAWQ_kernels/releases/):
 
+```
+pip install https://github.com/casper-hansen/AutoAWQ_kernels/releases/download/v0.0.2/autoawq_kernels-0.0.2+rocm561-cp310-cp310-linux_x86_64.whl
+```
 
+### Build from source
+You can also build from source:
 
+```
+git clone https://github.com/casper-hansen/AutoAWQ_kernels
+cd AutoAWQ_kernels
+pip install -e .
+```
 
+To build for ROCm, you need to first install the following packages `rocsparse-dev hipsparse-dev rocthrust-dev rocblas-dev hipblas-dev`.
\ No newline at end of file

README_.md

+# <div align="center"><strong>AutoAWQ_kernel</strong></div>
+## 简介
+AutoAWQ_kernel是一个从AutoAWQ分离出来的一个组件，以减少编译时间
+## 安装
+
+### 使用源码编译方式安装
+
+#### 编译环境准备
+下载光源的镜像，起dcoker
+
+```
+docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-centos7.6-dtk24.04-py310
+
+# <Image ID>用上面拉取docker镜像的ID替换
+# <Host Path>主机端路径
+# <Container Path>容器映射路径
+docker run -it --name baichuan --shm-size=1024G -v /opt/hyhal:/opt/hyhal:ro --device=/dev/kfd --device=/dev/dri/ --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --ulimit memlock=-1:-1 --ipc=host --network host --group-add video -v <Host Path>:<Container Path> <Image ID> /bin/bash
+```
+注：
+1、docker启动  -v /opt/hyhal:/opt/hyhal  这个变量不能少             
+
+#### 源码编译安装
+- 代码下载
+根据不同的需求下载不同的分支
+- 提供2种源码编译方式（进入AutoAWQ目录）：
+```
+1. 源码编译安装
+pip3 install e.
+
+2. 编译成whl包安装
+# 安装wheel 
+python3 setup.py bdist_wheel
+cd dist && pip3 install autoawq*
+```
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README_origin.md

-# AutoAWQ Kernels
-
-AutoAWQ Kernels is a new package that is split up from the [main repository](https://github.com/casper-hansen/AutoAWQ) in order to avoid compilation times.
-
-## Requirements
-
-- Windows: Must use WSL2.
-
-- NVIDIA:
-  - GPU: Must be compute capability 7.5 or higher.
-  - CUDA Toolkit: Must be 11.8 or higher.
-- AMD:
-  - ROCm: Must be 5.6 or higher.
-
-## Install
-
-### Install from PyPi
-
-The package is available on PyPi with CUDA 12.1.1 wheels:
-
-```
-pip install autoawq-kernels
-```
-
-### Install release wheels
-
-For ROCm and other CUDA versions, you can use the wheels published at each [release](https://github.com/casper-hansen/AutoAWQ_kernels/releases/):
-
-```
-pip install https://github.com/casper-hansen/AutoAWQ_kernels/releases/download/v0.0.2/autoawq_kernels-0.0.2+rocm561-cp310-cp310-linux_x86_64.whl
-```
-
-### Build from source
-You can also build from source:
-
-```
-git clone https://github.com/casper-hansen/AutoAWQ_kernels
-cd AutoAWQ_kernels
-pip install -e .
-```
-
-To build for ROCm, you need to first install the following packages `rocsparse-dev hipsparse-dev rocthrust-dev rocblas-dev hipblas-dev`.
\ No newline at end of file