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TMLR-Group-HF/Self-Certainty-Qwen2.5-7B-MATH
Self-Certainty-Qwen2.5-7B-MATH is a text generation model from TMLR-Group-HF. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This is the Qwen2.5-7B model trained by the Self-Certainty method using the MATH training set. It is part of the work presented in the paper Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Lan…
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From the Hugging Face model README
This is the Qwen2.5-7B model trained by the Self-Certainty method using the MATH training set. It is part of the work presented in the paper Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models.
For more details on the Co-rewarding framework and its implementation, you can find the code and further information on the official GitHub repository: https://github.com/tmlr-group/Co-rewarding.
@article{zhang2025coreward,
title={Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models},
author={Zhang, Zizhuo and Zhu, Jianing and Ge, Xinmu and Zhao, Zihua and Zhou, Zhanke and Li, Xuan and Feng, Xiao and Yao, Jiangchao and Han, Bo},
journal={arXiv preprint arXiv:2508.00410},
year={2025}
}