metadata

title: OneLLM
emoji: 🚀
colorFrom: red
colorTo: indigo
sdk: gradio
sdk_version: 4.7.1
app_file: app.py
pinned: false

OneLLM: One Framework to Align All Modalities with Language

[Project Page] [Paper] [Web Demo]

Authors: Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue.

News

2023.12.01 Release model weights and inference code.

Install
Models
Demo

TODO

Data
Evaluation
Training

Install

Clone the repo into a local folder.

git clone https://github.com/csuhan/OneLLM

cd OneLLM

Install packages.

conda create -n onellm python=3.9 -y
conda activate onellm

pip install -r requirements.txt

# install pointnet
cd lib/pointnet2
python setup.py install

Install Apex. (Optional)

git clone https://github.com/NVIDIA/apex
cd apex
pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./

Models

We provide a preview model at: csuhan/OneLLM-7B.

Demo

Huggingface Demo: csuhan/OneLLM.

Local Demo: Assume you have downloaded the weights to ${WEIGHTS_DIR}. Then run the following command to start a gradio demo locally.

python demos/multi_turn_mm.py --gpu_ids 0 --tokenizer_path config/llama2/tokenizer.model --llama_config config/llama2/7B.json --pretrained_path ${WEIGHTS_DIR}/consolidated.00-of-01.pth

Citation

@article{han2023onellm,
  title={OneLLM: One Framework to Align All Modalities with Language},
  author={Han, Jiaming and Gong, Kaixiong and Zhang, Yiyuan and Wang, Jiaqi and Zhang, Kaipeng and Lin, Dahua and Qiao, Yu and Gao, Peng and Yue, Xiangyu},
  journal={arXiv preprint arXiv:xxxx},
  year={2023}
}

Acknowledgement

LLaMA, LLaMA-Adapter, LLaMA2-Accessory, Meta-Transformer, ChatBridge

Spaces:

csuhan
/

OneLLM

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