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URL: https://huggingface.co/llm-jp/optimal-sparsity-math-d512-E64-k8-1.7B-A320M

⇱ llm-jp/optimal-sparsity-math-d512-E64-k8-1.7B-A320M · Hugging Face


Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

This repository contains model checkpoints from the paper Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks.

For more details, including code and evaluation procedures, please refer to the official GitHub repository: https://github.com/rioyokotalab/optimal-sparsity

How to cite

If you find our work helpful, please feel free to cite the paper.

@inproceedings{
 nakamura2026optimal,
 title={Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks},
 author={Taishi Nakamura and Satoki Ishikawa and Masaki Kawamura and Takumi Okamoto and Daisuke Nohara and Jun Suzuki and Rio Yokota},
 booktitle={The Fourteenth International Conference on Learning Representations},
 year={2026},
 url={https://openreview.net/forum?id=XFw2EPRUUR}
}
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