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llm-jp/optimal-sparsity-math-d2048-E64-k4-26.4B-A2.3B
optimal-sparsity-math-d2048-E64-k4-26.4B-A2.3B is a text generation model from llm-jp. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This repository contains model checkpoints from the paper Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks.
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From the Hugging Face model README
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
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}
}