初始化项目，由ModelHub XC社区提供模型

Model: llm-jp/optimal-sparsity-code-d512-E16-k16-520M-A520M
Source: Original Platform

README.md

@@ -0,0 +1,31 @@
+---
+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}
+}
+```
+