初始化项目，由ModelHub XC社区提供模型

Model: Salesforce/LLaMA-3-8B-SFR-SFT-R
Source: Original Platform

README.md

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+---
+license: llama3
+---
+# LLaMA-3-8B-SFR-SFT-R
+This is the SFT model for Salesforce/SFR-Iterative-DPO-LLaMA-3-8B-R.
+
+## Model Releases
+- [SFT model](https://huggingface.co/Salesforce/LLaMA-3-8B-SFR-SFT-R)
+- [Reward model](https://huggingface.co/Salesforce/LLaMA-3-8B-SFR-RM-R)
+- [RLHF model](https://huggingface.co/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R)
+
+
+## Citation
+Please cite our techical report if you find our model is useful for your research or product.
+
+```bibtex
+@misc{dong2024rlhf,
+      title={RLHF Workflow: From Reward Modeling to Online RLHF}, 
+      author={Hanze Dong and Wei Xiong and Bo Pang and Haoxiang Wang and Han Zhao and Yingbo Zhou and Nan Jiang and Doyen Sahoo and Caiming Xiong and Tong Zhang},
+      year={2024},
+      eprint={2405.07863},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG}
+}
+```
+
+## Ethics disclaimer for Salesforce AI models, data, code
+
+This release is for research purposes only in support of an academic
+paper. Our models, datasets, and code are not specifically designed or
+evaluated for all downstream purposes. We strongly recommend users
+evaluate and address potential concerns related to accuracy, safety, and
+fairness before deploying this model. We encourage users to consider the
+common limitations of AI, comply with applicable laws, and leverage best
+practices when selecting use cases, particularly for high-risk scenarios
+where errors or misuse could significantly impact people’s lives, rights,
+or safety. For further guidance on use cases, refer to our standard
+[AUP](https://www.salesforce.com/content/dam/web/en_us/www/documents/legal/Agreements/policies/ExternalFacing_Services_Policy.pdf)
+and [AI AUP](https://www.salesforce.com/content/dam/web/en_us/www/documents/legal/Agreements/policies/ai-acceptable-use-policy.pdf).