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Structure-Informed Protein Language Model

Parameters
650M
Published
Feb 7, 2024

Structure-Informed Protein Language Model is an AI model developed by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, IBM Research, HEC Montreal and CIFAR AI Research (Canada and United States), first published in February 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 is built on top of ESM2-650M. The reference paper has 15 citations. Epoch AI rates the confidence of this record as likely.

Full record
Organization
Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, IBM Research, HEC Montreal, CIFAR AI Research
Country of organization
Canada, United States
Domain
Biology
Task
Protein or nucleotide language model (pLM/nLM)
Parameters
650,000,000
Base model
ESM2-650M
Citations
15
Epoch confidence
Likely
More from Mila - Quebec AI (originally Montreal Institute for Learning Algorithms),University of Montreal / Université de Montréal,IBM Research,HEC Montreal,CIFAR AI Research
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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