AI models
ZymCTRL
Training compute
5×10²¹ FLOP
Parameters
738M
Published
Dec 1, 2022
ZymCTRL is an AI model developed by Basecamp Research, Friedrich-Alexander-Universität and University of Girona (United Kingdom, Germany and Spain), first published in December 2022. It works in the biology domain, on tasks such as protein generation.
Training it took an estimated 5×10²¹ FLOP of compute (estimation method: hardware). The model has 738,000,000 parameters. Training ran on 48 NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 34 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Basecamp Research, Friedrich-Alexander-Universität, University of Girona
- Country of organization
- United Kingdom, Germany, Spain
- Domain
- Biology
- Task
- Protein generation
- Training compute
- 5×10²¹ FLOP
- Compute estimation method
- Hardware
- Parameters
- 738,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 48
- Training power draw
- 38.4 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 34
- 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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