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README.md

@@ -1,15 +1,32 @@
+---
+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
 @article{nakamura2025optimalsparsitymixtureofexpertslanguage,
-      title={Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks}, 
+      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},
       year={2025},
       eprint={2508.18672},
       archivePrefix={arXiv},
       primaryClass={cs.LG},
-      url={https://arxiv.org/abs/2508.18672}, 
+      url={https://arxiv.org/abs/2508.18672},
 }
 ```
+