AI models
ESM3 (98B)
Training compute
1.1×10²⁴ FLOP
Parameters
98.5B
Published
Jun 25, 2024
ESM3 (98B) is an AI model developed by EvolutionaryScale and University of California (UC) Berkeley (United States), first published in June 2024. It works in the biology domain, on tasks such as protein generation.
Training it took an estimated 1.1×10²⁴ FLOP of compute (estimation method: reported). The model has 98,500,000,000 parameters. It was trained on roughly 771B datapoints.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- EvolutionaryScale, University of California (UC) Berkeley
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein generation
- Training compute
- 1.1×10²⁴ FLOP
- Compute estimation method
- Reported
- Parameters
- 98,500,000,000
- Dataset size
- 771B
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Confident
More from EvolutionaryScale,University of California (UC) Berkeley
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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