AI models
FlowER
Training compute
5.9×10¹⁶ FLOP
Parameters
7B
Published
Aug 20, 2025
FlowER is an AI model developed by Massachusetts Institute of Technology (MIT) (United States), first published in August 2025. It works in the materials science domain.
Training it took an estimated 5.9×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 7,000,000,000 parameters. It was trained on roughly 1.4M datapoints.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Massachusetts Institute of Technology (MIT)
- Country of organization
- United States
- Domain
- Materials science
- Training compute
- 5.9×10¹⁶ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 7,000,000,000
- Dataset size
- 1.4M
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
More from Massachusetts Institute of Technology (MIT)
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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