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explcre/nt-2.5b-lora-teachers-r32
nt-2.5b-lora-teachers-r32 is a machine learning model from explcre. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as cc-by-nc-sa-4.0.
Per-task LoRA adapters fine-tuned on the Nucleotide Transformer revised 18-task benchmark.
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Updated Oct 2, 2026
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From the Hugging Face model README
Per-task LoRA adapters fine-tuned on the Nucleotide Transformer revised 18-task benchmark.
InstaDeepAI/nucleotide-transformer-2.5b-multi-speciesteacher_adapters/<task>/ (best-val checkpoint).| Task | Best val MCC |
|---|---|
| H2AFZ | 0.5267 |
| H3K27ac | 0.5272 |
| H3K27me3 | 0.5984 |
| H3K36me3 | 0.6762 |
| H3K4me1 | 0.5179 |
| H3K4me2 | 0.5754 |
| H3K4me3 | 0.6872 |
| H3K9ac | 0.5635 |
| H3K9me3 | 0.4462 |
| H4K20me1 | 0.6819 |
| enhancers | 0.5477 |
| enhancers_types | 0.4995 |
| promoter_all | 0.7689 |
| promoter_no_tata | 0.797 |
| promoter_tata | 0.6733 |
| splice_sites_acceptors | 0.9694 |
| splice_sites_all | 0.9577 |
| splice_sites_donors | 0.981 |
Load: base NT-2.5b-multi-species + PEFT adapter (merge for inference).
These adapters are derived from Nucleotide Transformer 2.5B, which is released under CC BY-NC-SA 4.0; the same terms apply here, and to any model distilled from them.