title: MulinLab | hEvo
emoji: 🧬
colorFrom: blue
colorTo: blue
sdk: static
short_description: Population-aware DNA modeling for human genomics
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MulinLab
Population-aware DNA modeling for human genomics
We study how human genetic diversity and haplotype sequence variation inform genome representation, variant effect, regulatory annotation, ancestry, and evolution.
Explore hEvo
| Resource | What it contains | Access |
|---|---|---|
| hEVO-base-o | 87.1M-parameter, 1,024-nt model trained with masked language modeling on public 1000 Genomes Project and HGDP sequences. | Manual approval for peer reviewers |
| hEVO-large-o | 319.5M-parameter model in the same public-data training family. | Manual approval for peer reviewers |
| hEvo-benchmarks | 15 task bundles with frozen inputs or source downloaders, task-specific build scripts, and documentation. | Manual approval for peer reviewers |
| GitHub source repository | Training and benchmark workflows, configurations, result tables, figures, and reproduction guides. | Public repository |
The -o suffix identifies a public-data training variant. It does not mean that model weights are openly licensed. Model-weight licensing has not been confirmed. Benchmark files may carry different terms; follow the cited source publication and task documentation for each dataset.
How to get started
- Choose a model or benchmark task from the table above.
- Request access on the corresponding Hugging Face page. Model and dataset access is manually reviewed for peer-review use.
- Use the card's quick start after approval. The model cards include DNA embedding and single-nucleotide likelihood examples; the dataset card lists task-specific download and build instructions.
- Reproduce the workflows with the GitHub guides, which keep model code, evaluation workflows, and source result tables together.
Scientific context and citation
The GitHub repository describes the hEvo training stages, evaluation protocols, source tables, and figure workflows. For hEvo citation details, see the repository's Citation section.
For questions about access or scientific use, contact MulinLab through the relevant repository's Hugging Face discussion page.