library_name, license, datasets, language

library_name	license	datasets	language
transformers	mit	HuggingFaceH4/ultrafeedback_binarized	en

Zephyr-7B-DICE-Iter2

This model was developed using Bootstrapping Language Models with DPO Implicit Rewards (DICE) at iteration 2, based on the HuggingFaceH4/zephyr-7b-beta as the starting point.

Links to Other Models

• Zephyr-7B-DICE-Iter1
• Zephyr-7B-DICE-Iter2

Model Description

• Model type: A 7B parameter GPT-like model fine-tuned on synthetic datasets.
• Language(s) (NLP): Primarily English
• License: MIT
• Fine-tuned from model: HuggingFaceH4/zephyr-7b-beta

AlpacaEval Leaderboard Evaluation Results

Model	LC. Win Rate	Win Rate
Zephyr-7b-beta	12.69	10.71
Zephyr-7B-DICE-Iter1	19.03	17.67
Zephyr-7B-DICE-Iter2	20.71	20.16

Citation

@article{chen2024bootstrapping,
  title={Bootstrapping Language Models with DPO Implicit Rewards},
  author={Chen, Changyu and Liu, Zichen and Du, Chao and Pang, Tianyu and Liu, Qian and Sinha, Arunesh and Varakantham, Pradeep and Lin, Min},
  journal={arXiv preprint arXiv:2406.09760},
  year={2024}
}