OntoProtein

Parameters

420M

Published

Jan 23, 2022

OntoProtein is an AI model developed by Zhejiang University (ZJU) (China), first published in January 2022. It works in the biology and language domain, on tasks such as proteins, protein or nucleotide language model (plm/nlm), protein interaction prediction and 2 more.

Epoch AI has no training-compute estimate for this model. The model has 420,000,000 parameters. It was trained on roughly 2.9B datapoints.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of ProtBERT-BFD. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Zhejiang University (ZJU)
Country of organization: China
Domain: Biology, Language
Task: Proteins, Protein or nucleotide language model (pLM/nLM), Protein interaction prediction, Protein function prediction, Protein representation learning
Parameters: 420,000,000
Dataset size: 2.9B
Numerical format: FP16
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Base model: ProtBERT-BFD
Epoch confidence: Likely