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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:

git clone https://github.com/IP127000/openVLA-Qwen.git
cd openVLA-Qwen

2. Create a new conda environment and activate it:

conda create -n vla-qwen python=3.10 -y
conda activate vla-qwen

3. Install the required dependencies

pip install --upgrade pip
pip install -e ".[train]"

Acknowledgements

I would like to express my gratitude to the following repositories:

  • OpenVLA - For providing the core structure and functionality that inspired OpenVLA-Qwen.
  • LLaVA_OpenVLA - For his contribution to data preprocessing techniques.
S
Description
OpenVLA 视觉语言动作模型的最小复现,使用 Qwen2-0.5B。
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