AI models
PeTriBERT
Training compute
10²⁰ FLOP
Parameters
40M
Published
Aug 13, 2022
PeTriBERT is an AI model developed by University of Montpellier and BionomeeX (France), first published in August 2022. It works in the biology domain, on tasks such as protein generation.
Training it took an estimated 10²⁰ FLOP of compute (estimation method: hardware). The model has 40,000,000 parameters. Training ran on 8 NVIDIA Tesla V100 DGXS 32 GB for about 70 hours.
The reference paper has 14 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Montpellier, BionomeeX
- Country of organization
- France
- Domain
- Biology
- Task
- Protein generation
- Training compute
- 10²⁰ FLOP
- Compute estimation method
- Hardware
- Parameters
- 40,000,000
- Training hardware
- NVIDIA Tesla V100 DGXS 32 GB
- Chips used
- 8
- Training time
- 70 h
- Training power draw
- 4.0 kW
- Citations
- 14
- Epoch confidence
- Confident
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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