AI models
DNA Fine-Tuned Language Model (DFLM)
Training compute
3.5×10¹⁸ FLOP
Published
Jan 2, 2023
DNA Fine-Tuned Language Model (DFLM) is an AI model developed by Tongji University (China), first published in January 2023. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 3.5×10¹⁸ FLOP of compute (estimation method: hardware). Training ran on NVIDIA TITAN Xp.
Access: Unreleased. Its weights are not openly released. The reference paper has 7 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Tongji University
- Country of organization
- China
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 3.5×10¹⁸ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA TITAN Xp
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 7
- 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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