ViroHyena-436k

ViroHyena

ViroHyena is a Hyena-based nucleotide language model pre-trained on the ViroBlend corpus, a small (216 Mbp) mixed pretraining dataset with source-wise stratified sampling to balance human reference, multi-species genomes, and viral in-domain sequences.

It was introduced in the paper ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks.

Code: GitHub - ViroBench

Model Configurations

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Citation

@article{ye2026virobench,
  title={ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks},
  author={Ye, Dongxin and Hu, Fang and Hu, Han and Hu, Shu and Tan, Yang and Ouyang, Wanli and Li, Stan Z and Cui, Jie and Dong, Nanqing},
  journal={arXiv preprint arXiv:2605.25388},
  year={2026}
}