51 lines
1.5 KiB
Markdown
51 lines
1.5 KiB
Markdown
---
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license: apache-2.0
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library_name: transformers
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---
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# Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language models
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> [Tian Yu](https://tianyu0313.github.io/), [Shaolei Zhang](https://zhangshaolei1998.github.io/), and [Yang Feng](https://people.ucas.edu.cn/~yangfeng?language=en)*
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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- **Discription:** This is Auto-RAG model trained with synthesized iterative retrieval instruction data. Details can be found in our paper.
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- **Developed by:** ICTNLP Group. Authors: Tian Yu, Shaolei Zhang and Yang Feng.
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- **Github Repository:** https://github.com/ictnlp/Auto-RAG
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- **Paper Link:** https://arxiv.org/abs/2411.19443
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- **Finetuned from model:** Meta-Llama3-8B-Instruct
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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You can directly deploy the model using vllm, such as:
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```
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CUDA_VISIBLE_DEVICES=6,7 python -m vllm.entrypoints.openai.api_server \
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--model PATH_TO_MODEL\
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--gpu-memory-utilization 0.9 \
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-tp 2 \
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--max-model-len 8192\
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--port 8000\
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--host 0.0.0.0
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```
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## Citation
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```
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@article{yu2024autorag,
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title={Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models},
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author={Tian Yu and Shaolei Zhang and Yang Feng},
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year={2024},
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eprint={2411.19443},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2411.19443},
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}
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``` |