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# Zephyr-7B-DICE-Iter1
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This model was developed using [Bootstrapping Language Models with DPO Implicit Rewards](https://arxiv.org/abs/2406.09760) (DICE) at iteration 1, based on the [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) as the starting point.
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## Links to Other Models
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- [Zephyr-7B-DICE-Iter1](https://huggingface.co/sail/Zephyr-7B-DICE-Iter1)
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- [Zephyr-7B-DICE-Iter2](https://huggingface.co/sail/Zephyr-7B-DICE-Iter2)
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## Model Description
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- Model type: A 7B parameter GPT-like model fine-tuned on synthetic datasets.
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- Language(s) (NLP): Primarily English
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- License: MIT
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- Fine-tuned from model: HuggingFaceH4/zephyr-7b-beta
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## [AlpacaEval Leaderboard Evaluation Results](https://tatsu-lab.github.io/alpaca_eval/)
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| Model | LC. Win Rate | Win Rate |
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|-------------------------------------------|:------------:|:--------:|
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|[Zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) |12.69 |10.71
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|[Zephyr-7B-DICE-Iter1](https://huggingface.co/sail/Zephyr-7B-DICE-Iter1) |19.03 |17.67
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|[Zephyr-7B-DICE-Iter2](https://huggingface.co/sail/Zephyr-7B-DICE-Iter2) |**20.71** |**20.16**
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## Citation
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```bibtex
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@article{chen2024bootstrapping,
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title={Bootstrapping Language Models with DPO Implicit Rewards},
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author={Chen, Changyu and Liu, Zichen and Du, Chao and Pang, Tianyu and Liu, Qian and Sinha, Arunesh and Varakantham, Pradeep and Lin, Min},
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journal={arXiv preprint arXiv:2406.09760},
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year={2024}
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}
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```
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