Fully Open Source Moxin-7B Technical Report
Paper
•
2412.06845
•
Published
•
11
hf convert version of Moxin-VLM based on openvla
Github Page Moxin-VLM
git clone https://github.com/moxin-org/Moxin-VLM.git
cd Moxin-VLM
conda create -n moxin-vlm python=3.10 -y
conda activate moxin-vlm
pip install torch==2.4.1 torchvision==0.19.1
pip install transformers==4.46.0 peft==0.15.2
pip install -e .
# Install Flash Attention 2
# =>> If you run into difficulty, try `pip cache remove flash_attn` first
pip install flash-attn==2.6.3 --no-build-isolation
Please find our Pretrained Models on our huggingface page: moxin-org/Moxin-7B-VLM.
We've also provided a hf_convert version Moxin-7B-VLM-hf based on openvla.
Please refer to the attached scripts for downloading and running our model locally.
python scripts/snapshot_download.py
For a complete terminal-based CLI for interacting with our VLMs.
python scripts/generate.py --model_path moxin-org/Moxin-7B-VLM
For a faster loading, inference and demo.
python scripts/fast_inference.py
This project is based on Prismatic VLMs by TRI-ML.
Special thanks to the original contributors for their excellent work.
If you find our code or models useful in your work, please cite our paper:
@article{zhao2024fully,
title={Fully Open Source Moxin-7B Technical Report},
author={Zhao, Pu and Shen, Xuan and Kong, Zhenglun and Shen, Yixin and Chang, Sung-En and Rupprecht, Timothy and Lu, Lei and Nan, Enfu and Yang, Changdi and He, Yumei and others},
journal={arXiv preprint arXiv:2412.06845},
year={2024}
}
Base model
moxin-org/Moxin-7B-VLM