Skip to content
← Models
Open weightsInstaDeep/10 trustVerified
Nucleotide Transformer logo

Nucleotide Transformer

Foundation models for human genomics trained on DNA from thousands of genomes.

Visit official page →

About

The Nucleotide Transformer is a collection of genomic foundation models from InstaDeep, NVIDIA, and the Technical University of Munich, introduced via bioRxiv in January 2023. The models are pre-trained on DNA sequences from over 3,200 diverse human genomes plus 850 genomes from other species.

Across 19 benchmarks the models matched or beat task-specific methods on 15, covering molecular phenotype prediction and other genomics tasks. Nine model sizes were open-sourced, from 500M parameters up. The release uses a CC BY-NC-SA 4.0 license, so commercial use requires permission.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

January 1, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

genomicsdrug-discoveryresearch

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 110; Trending score 76/100 from researcher assessment.

Sources