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Update repository links and instructions in README

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seeker
2025-12-15 08:40:59 +08:00
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parent 1e8e0db3f5
commit ee6bd86b94
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README.md
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@@ -22,7 +22,7 @@ Follow the steps below to install the OpenVLA-Qwen lightweight version.
Clone the repository to your local machine:
```bash
git clone https://github.com/IP127000/openVLA-Qwen.git
git clone https://github.com/IP127000/openVLA-Qwen2-0.5B.git
cd openVLA-Qwen
```
### 2. Create a new conda environment and activate it:
@@ -37,7 +37,9 @@ pip install -e ".[train]"
```
### 4. Download the weights from huggingface
```bash
cd openVLA-Qwen/models
cd openVLA-Qwen2-0.5B
mkdir models
cd models
git clone git clone https://huggingface.co/lmms-lab/llava-onevision-qwen2-0.5b-ov
```
### 5. Change the file path in scripts/train/finetune_ov_vla.sh
@@ -61,4 +63,4 @@ cd /openVLA-Qwen2-0.5B
This project makes use of the following open-source projects, and I would like to express my gratitude to their creators:
- [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.
- [LLaVA_OpenVLA](https://github.com/Darren-greenhand/LLaVA-Next) - For contribution to data preprocessing techniques.