AI models
MPDF
Training compute
3.1×10¹⁷ FLOP
Published
Sep 7, 2024
MPDF is an AI model developed by Chinese University of Hong Kong (CUHK), Lanzhou University, Zhejiang Lab and Zhejiang University (ZJU) (Hong Kong and China), first published in September 2024. It works in the biology domain, on tasks such as drug discovery.
Training it took an estimated 3.1×10¹⁷ FLOP of compute (estimation method: hardware). Training ran on 1 NVIDIA GeForce RTX 3090 for about 6 hours.
Access: Unreleased. Its weights are not openly released. The reference paper has 2 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Chinese University of Hong Kong (CUHK), Lanzhou University, Zhejiang Lab, Zhejiang University (ZJU)
- Country of organization
- Hong Kong, China
- Domain
- Biology
- Task
- Drug discovery
- Training compute
- 3.1×10¹⁷ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA GeForce RTX 3090
- Chips used
- 1
- Training time
- 6 h
- Training power draw
- 379 W
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 2
- 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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