AI models
RNADiffFold
Published
Oct 13, 2024
RNADiffFold is an AI model developed by Hangzhou Institute of Medicine, Zhejiang University (ZJU) and University of Chinese Academy of Sciences (China), first published in October 2024. It works in the biology domain, on tasks such as rna structure prediction.
Epoch AI has no training-compute estimate for this model. Training ran on 1 NVIDIA A40 PCIe.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 10 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Hangzhou Institute of Medicine, Zhejiang University (ZJU), University of Chinese Academy of Sciences
- Country of organization
- China
- Domain
- Biology
- Task
- RNA structure prediction
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA A40 PCIe
- Chips used
- 1
- Training power draw
- 325 W
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 10
- 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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