AI models
CLR_ESP
Training compute
2.1×10¹⁷ FLOP
Published
Aug 16, 2024
CLR_ESP is an AI model developed by Kansas State University (United States), first published in August 2024. It works in the biology domain, on tasks such as enzyme substrate pair prediction.
Training it took an estimated 2.1×10¹⁷ FLOP of compute. It was trained on roughly 815.7K datapoints. Training ran on 1 NVIDIA Tesla T4 for about 3 hours.
Access: Open weights (non-commercial). Its weights are openly available. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Kansas State University
- Country of organization
- United States
- Domain
- Biology
- Task
- Enzyme substrate pair prediction
- Training compute
- 2.1×10¹⁷ FLOP
- Dataset size
- 815.7K
- Training hardware
- NVIDIA Tesla T4
- Chips used
- 1
- Training time
- 3 h
- Training power draw
- 76 W
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Epoch confidence
- Likely
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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