AI models
TAWFN
Training compute
3.5×10¹⁸ FLOP
Published
Sep 23, 2024
TAWFN is an AI model developed by Northeastern University (China) (China), first published in September 2024. It works in the biology domain, on tasks such as protein function prediction.
Training it took an estimated 3.5×10¹⁸ FLOP of compute (estimation method: hardware). Training ran on 1 NVIDIA GeForce RTX 3090.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Northeastern University (China)
- Country of organization
- China
- Domain
- Biology
- Task
- Protein function prediction
- Training compute
- 3.5×10¹⁸ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA GeForce RTX 3090
- Chips used
- 1
- Training power draw
- 379 W
- 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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