AI models
ESM-DBP
Parameters
650M
Published
Sep 7, 2024
ESM-DBP is an AI model developed by Hunan University (China), first published in September 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Epoch AI has no training-compute estimate for this model. The model has 650,000,000 parameters. It was trained on roughly 7.7M datapoints.
It is built on top of ESM2-650M. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Hunan University
- Country of organization
- China
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Parameters
- 650,000,000
- Dataset size
- 7.7M
- Chips used
- 4
- Training time
- 72 h
- Base model
- ESM2-650M
- Citations
- 0
- Epoch confidence
- Confident
More from Hunan University
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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