AI models
OmniGenome
Training compute
3.4×10²⁰ FLOP
Parameters
186M
Published
Jul 15, 2024
OmniGenome is an AI model developed by University of Exeter (United Kingdom), first published in July 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 3.4×10²⁰ FLOP of compute (estimation method: hardware). The model has 186,000,000 parameters. Training ran on 8 NVIDIA GeForce RTX 4090.
The reference paper has 5 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- University of Exeter
- Country of organization
- United Kingdom
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 3.4×10²⁰ FLOP
- Compute estimation method
- Hardware
- Parameters
- 186,000,000
- Training hardware
- NVIDIA GeForce RTX 4090
- Chips used
- 8
- Training power draw
- 7.1 kW
- Citations
- 5
- Epoch confidence
- Likely
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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