AI models
dnaGrinder
Training compute
2.8×10¹⁹ FLOP
Parameters
63.6M
Published
Sep 24, 2024
dnaGrinder is an AI model developed by Hong Kong Polytechnic University (Hong Kong), first published in September 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 2.8×10¹⁹ FLOP of compute. The model has 63,600,000 parameters. It was trained on roughly 10.4B datapoints. Training ran on 8 NVIDIA H100 SXM5 80GB.
The reference paper has 4 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Hong Kong Polytechnic University
- Country of organization
- Hong Kong
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 2.8×10¹⁹ FLOP
- Parameters
- 63,600,000
- Dataset size
- 10.4B
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chips used
- 8
- Training power draw
- 11.0 kW
- Citations
- 4
- 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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