ICTNLP/Auto-RAG-Llama-3-8B-Instruct

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language models

Tian Yu, Shaolei Zhang, and Yang Feng*

Model Details

• Discription: This is Auto-RAG model trained with synthesized iterative retrieval instruction data. Details can be found in our paper.
• Developed by: ICTNLP Group. Authors: Tian Yu, Shaolei Zhang and Yang Feng.
• Github Repository: https://github.com/ictnlp/Auto-RAG
• Paper Link: https://arxiv.org/abs/2411.19443
• Finetuned from model: Meta-Llama3-8B-Instruct

Uses

You can directly deploy the model using vllm, such as:

CUDA_VISIBLE_DEVICES=6,7 python -m vllm.entrypoints.openai.api_server \
    --model PATH_TO_MODEL\
    --gpu-memory-utilization 0.9 \
    -tp 2 \
    --max-model-len 8192\
    --port 8000\
    --host 0.0.0.0

Citation

@article{yu2024autorag,
      title={Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models}, 
      author={Tian Yu and Shaolei Zhang and Yang Feng},
      year={2024},
      eprint={2411.19443},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2411.19443}, 
}