AI models
FvFold
Parameters
9.2M
Published
Nov 1, 2024
FvFold is an AI model developed by Jeonbuk National University (South Korea), first published in November 2024. It works in the biology domain, on tasks such as protein folding prediction.
Epoch AI has no training-compute estimate for this model. The model has 9,209,788 parameters. Training ran on 1 NVIDIA A100 PCIe.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Jeonbuk National University
- Country of organization
- South Korea
- Domain
- Biology
- Task
- Protein folding prediction
- Parameters
- 9,209,788
- Training hardware
- NVIDIA A100 PCIe
- Chips used
- 1
- Training power draw
- 324 W
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- 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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