AI models
Protst
Training compute
1.4×10¹⁹ FLOP
Published
Jan 28, 2023
Protst is an AI model developed by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, Intel Labs, HEC Montreal and CIFAR AI Research (Canada and United States), first published in January 2023. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 1.4×10¹⁹ FLOP of compute (estimation method: hardware).
The reference paper has 124 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, Intel Labs, HEC Montreal, CIFAR AI Research
- Country of organization
- Canada, United States
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 1.4×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Citations
- 124
- 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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