AI models
ProCALM (Uniref9B)
Parameters
764M
Published
Oct 9, 2024
ProCALM (Uniref9B) is an AI model developed by Profluent Bio and California Institute of Technology (United States), first published in October 2024. It works in the biology domain, on tasks such as proteins and protein generation.
Epoch AI has no training-compute estimate for this model. The model has 764,000,000 parameters. Training ran on 4 NVIDIA A100 for about 60 hours.
It is built on top of ProGen2-base. The reference paper has 9 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Profluent Bio, California Institute of Technology
- Country of organization
- United States
- Domain
- Biology
- Task
- Proteins, Protein generation
- Compute estimation method
- Hardware
- Parameters
- 764,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 4
- Training time
- 60 h
- Training power draw
- 3.2 kW
- Base model
- ProGen2-base
- Citations
- 9
- 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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