AMix-1-1.7B

Introduction

We introduce AMix-1, a powerful protein foundation model built on Bayesian Flow Networks and empowered by a systematic training methodology, encompassing pretraining scaling laws, emergent capability analysis, in-context learning mechanism, and test-time scaling algorithm.

Citation

@article{lv2025amix1,
  title={AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model},
  author={Changze Lv*, Jiang Zhou*, Siyu Long*, Lihao Wang, Jiangtao Feng, Dongyu Xue, Yu Pei, Hao Wang, Zherui Zhang, Yuchen Cai, Zhiqiang Gao, Ziyuan Ma, Jiakai Hu, Chaochen Gao, Jingjing Gong, Yuxuan Song, Shuyi Zhang, Xiaoqing Zheng, Deyi Xiong, Lei Bai, Wanli Ouyang, Ya-Qin Zhang, Wei-Ying Ma, Bowen Zhou, Hao Zhou},
  journal={arXiv preprint arXiv:2507.08920},
  year={2025}
}