AI models
ProteinLM
Training compute
1.6×10²² FLOP
Parameters
3B
Published
Aug 17, 2021
ProteinLM is an AI model developed by Tsinghua University, Beijing Academy of Artificial Intelligence / BAAI and Tencent (China), first published in August 2021. It works in the biology domain, on tasks such as proteins and protein or nucleotide language model (plm/nlm).
Training it took an estimated 1.6×10²² FLOP of compute (estimation method: hardware). The model has 3,000,000,000 parameters. Training ran on 48 NVIDIA V100 for about 252 hours.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 40 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Tsinghua University, Beijing Academy of Artificial Intelligence / BAAI, Tencent
- Country of organization
- China
- Domain
- Biology
- Task
- Proteins, Protein or nucleotide language model (pLM/nLM)
- Training compute
- 1.6×10²² FLOP
- Compute estimation method
- Hardware
- Parameters
- 3,000,000,000
- Training hardware
- NVIDIA V100
- Chips used
- 48
- Training time
- 252 h
- Chip-hours
- 12.1K
- Training power draw
- 29.1 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 40
- 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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