AI models
MTDP
Training compute
6×10¹⁴ FLOP
Parameters
20M
Published
Sep 24, 2024
MTDP is an AI model developed by Chinese University of Hong Kong (CUHK) and City University of Hong Kong (Hong Kong), first published in September 2024. It works in the biology domain, on tasks such as protein embedding.
Training it took an estimated 6×10¹⁴ FLOP of compute (estimation method: operation counting). The model has 20,000,000 parameters. Training ran on 4 NVIDIA GeForce RTX 3080.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Chinese University of Hong Kong (CUHK), City University of Hong Kong
- Country of organization
- Hong Kong
- Domain
- Biology
- Task
- Protein embedding
- Training compute
- 6×10¹⁴ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 20,000,000
- Training hardware
- NVIDIA GeForce RTX 3080
- Chips used
- 4
- Training power draw
- 2.5 kW
- Model accessibility
- Unreleased
- Open weights
- No
- 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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