AI models
ProteinSetTransformer
Training compute
1.7×10¹⁹ FLOP
Published
Sep 23, 2024
ProteinSetTransformer is an AI model developed by University of Wisconsin Madison (United States), first published in September 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 1.7×10¹⁹ FLOP of compute (estimation method: hardware). Training ran on NVIDIA A100.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Wisconsin Madison
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 1.7×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA A100
- Epoch confidence
- Confident
More from University of Wisconsin Madison
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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