Files
optimal-sparsity-math-d1024…/README.md
ModelHub XC 7b74c04961 初始化项目,由ModelHub XC社区提供模型
Model: llm-jp/optimal-sparsity-math-d1024-E64-k16-6.7B-A1.9B
Source: Original Platform
2026-04-13 07:49:59 +08:00

32 lines
1.1 KiB
Markdown

---
pipeline_tag: text-generation
library_name: transformers
license: apache-2.0
tags:
- mixtral
- moe
- reasoning
---
# 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](https://huggingface.co/papers/2508.18672).
For more details, including code and evaluation procedures, please refer to the official GitHub repository: [https://github.com/rioyokotalab/optimal-sparsity](https://github.com/rioyokotalab/optimal-sparsity)
## How to cite
If you find our work helpful, please feel free to cite the paper.
```bibtex
@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}
}
```