AI models
ProGen
Training compute
3.7×10²⁰ FLOP
Parameters
1.2B
Published
Mar 13, 2020
ProGen is an AI model developed by Salesforce Research and Stanford University (United States), first published in March 2020. It works in the biology domain, on tasks such as protein generation, proteins and protein or nucleotide language model (plm/nlm).
Training it took an estimated 3.7×10²⁰ FLOP of compute (estimation method: hardware,third-party estimation). The model has 1,200,000,000 parameters.
The reference paper has 315 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Salesforce Research, Stanford University
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein generation, Proteins, Protein or nucleotide language model (pLM/nLM)
- Training compute
- 3.7×10²⁰ FLOP
- Compute estimation method
- Hardware, Third-party estimation
- Parameters
- 1,200,000,000
- Citations
- 315
- Epoch confidence
- Likely
More from Salesforce Research,Stanford University
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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