AI models
CodonTransformer
Parameters
89.6M
Published
Sep 13, 2024
CodonTransformer is an AI model developed by Vector Institute, University of Toronto and Université Paris Cité (Canada and France), first published in September 2024. It works in the biology domain, on tasks such as codon optimization.
Epoch AI has no training-compute estimate for this model. The model has 89,600,000 parameters. It was trained on roughly 45.1M datapoints. Training ran on 16 NVIDIA V100.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Vector Institute, University of Toronto, Université Paris Cité
- Country of organization
- Canada, France
- Domain
- Biology
- Task
- Codon optimization
- Parameters
- 89,600,000
- Dataset size
- 45.1M
- Training hardware
- NVIDIA V100
- Chips used
- 16
- Training power draw
- 9.5 kW
- 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.
← All ai models