初始化项目，由ModelHub XC社区提供模型

Model: ICTNLP/Auto-RAG-Llama-3-8B-Instruct
Source: Original Platform

README.md

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+---
+license: apache-2.0
+library_name: transformers
+---
+
+
+# Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language models
+
+> [Tian Yu](https://tianyu0313.github.io/), [Shaolei Zhang](https://zhangshaolei1998.github.io/), and [Yang Feng](https://people.ucas.edu.cn/~yangfeng?language=en)*
+
+
+## Model Details
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+- **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
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+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}, 
+}
+```