| --- |
| license: apache-2.0 |
| language: |
| - en |
| - zh |
| pipeline_tag: text-generation |
| --- |
| |
| # BlockFFN-Small |
|
|
| This is the original 0.1B BlockFFN checkpoint used in the paper *BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity* for acceleration tests. |
| You can load and use this model simply by using `AutoTokenizer` and `AutoModelForCausalLM`. |
|
|
| Links: [[Paper](https://arxiv.org/pdf/2507.08771)] [[Codes](https://github.com/thunlp/BlockFFN)] |
|
|
| ### Citation |
|
|
| If you find our work useful for your research, please kindly cite our paper as follows: |
|
|
| ``` |
| @article{song2025blockffn, |
| title={{BlockFFN}: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity}, |
| author={Chenyang Song and Weilin Zhao and Xu Han and Chaojun Xiao and Yingfa Chen and Yuxuan Li and Zhiyuan Liu and Maosong Sun}, |
| journal={arXiv preprint arXiv:2507.08771}, |
| year={2025}, |
| url={https://arxiv.org/pdf/2507.08771}, |
| } |
| ``` |
|
|
