Nucleotide Transformer 2.5B-parameter models, IA3 fine-tuning (Dalla-Torre et al. 2025)
IA3 parameter-efficient fine-tuning of the Nucleotide Transformer 2.5B-parameter models on one node of eight A100 GPUs.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Nucleotide Transformer 2.5B-parameter models, IA3 fine-tuning (Dalla-Torre et al. 2025) | Protocol: Nucleotide Transformer IA3 fine-tuning run time (Dalla-Torre et al. 2025 Methods 'Hardware') Dataset: NT benchmark, all 18 tasks | 50 Runtime (Mean wall time per IA3 fine-tuning run) minute · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT 2.5B-parameter models IA3 fine-tuning run time (Dalla-Torre et al. 2025) gfm-guide-20261014-protocol-nt-ia3-finetune-runtime Aggregation: Not reported Nucleotide Transformer: building and evaluating robust foundation models for human genomics (Nature Methods) · Methods, 'Data preparation > Hardware', paragraph 1: 'On average, a fine-tuning run lasted 20 min for the 500M-parameter models and 50 min for the 2.5B-parameter models.' |
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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
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- Nucleotide Transformer: building and evaluating robust foundation models for human genomics (Nature Methods) · Original source · Nature Methods 22, 287-297 (published online 2024-11-28); PMC11810778 full-text XML
Technical metadata and extraction receipts
Stable ID: gfm-guide-20261014-config-nt-2-5b-ia3-fine-tuning
- areas
- dna-genomes
- contexts
- research
- method types
- foundation_model
- reported name
- NT 2.5B-parameter models
- hardware
- description: One node with eight NVIDIA A100 GPUs
- fine tuning
- description: IA3 parameter-efficient fine-tuning, about 0.1% of parameters trainable, batch size eight
- source locator
- Methods 'Hardware'; Results paragraph on fine-tuning
- missing metadata
- version: reason: unreported; note: The article groups all 2.5B-parameter models (several pretraining datasets) together
Related records
- configuration of: Nucleotide Transformer
- system: NT 2.5B-parameter models IA3 fine-tuning run time (Dalla-Torre et al. 2025)