| | --- |
| | 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}, |
| | } |
| | ``` |
| |
|
