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+**Read this in other languages: [English](README.md), [中文](README_zh.md).**
+# OpenVLA Lightweight Version
+
+OpenVLA的轻量化版本，基于llava-next框架
+特点：
+1.主体模型仅0.5B，使用qwen2-0.5B
+2.不使用RLDS格式数据集，使用mllm格式进行微调
+3.不占用LLM模型固有tokens,使用新增的271个tokens表示动作
+
+## Installation
+
+Follow the steps below to install the OpenVLA-Qwen lightweight version.
+
+### 1. Clone the repository
+
+Clone the repository to your local machine:
+
+```bash
+git clone https://github.com/IP127000/openVLA-Qwen.git
+cd openVLA-Qwen
+```
+### 2. Create a new conda environment and activate it:
+```bash
+conda create -n vla-qwen python=3.10 -y
+conda activate vla-qwen
+```
+### 3. Install the required dependencies
+```bash
+pip install --upgrade pip
+pip install -e ".[train]"
+```
+## Acknowledgements
+
+I would like to express my gratitude to the following repositories:
+
+- [OpenVLA](https://github.com/openvla/openvla) - For providing the core structure and functionality that inspired OpenVLA-Qwen.
+- [LLaVA_OpenVLA](https://github.com/Darren-greenhand/LLaVA-Next) - For his contribution to data preprocessing techniques.