AI models
PLAPT
Training compute
3.9×10²² FLOP
Parameters
1.5M
Published
Feb 12, 2024
PLAPT is an AI model developed by Wolfram Research, ASC27, Newport High School and Sanskriti School (United States, Italy and India), first published in February 2024. It works in the biology domain, on tasks such as protein-ligand binding affinity prediction.
Training it took an estimated 3.9×10²² FLOP of compute (estimation method: operation counting). The model has 1,474,624 parameters. Training ran on 1 NVIDIA GeForce RTX 4060 Ti.
It is built on top of ChemBERTa,ProtBERT-BFD. The reference paper has 8 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Wolfram Research, ASC27, Newport High School, Sanskriti School
- Country of organization
- United States, Italy, India
- Domain
- Biology
- Task
- Protein-ligand binding affinity prediction
- Training compute
- 3.9×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 1,474,624
- Training hardware
- NVIDIA GeForce RTX 4060 Ti
- Chips used
- 1
- Training power draw
- 174 W
- Base model
- ChemBERTa, ProtBERT-BFD
- Citations
- 8
- 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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