Repress

Parameters

133M

Published

May 16, 2025

Repress is an AI model developed by DeepGenomics (Canada), first published in May 2025. It works in the biology domain, on tasks such as cell biology, rna structure prediction and protein-rna binding affinity prediction.

Epoch AI has no training-compute estimate for this model. The model has 133,000,000 parameters. Training ran on 1 NVIDIA RTX A6000.

Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.

Full record

Organization: DeepGenomics
Country of organization: Canada
Domain: Biology
Task: Cell Biology, RNA structure prediction, Protein-RNA binding affinity prediction
Parameters: 133,000,000
Training hardware: NVIDIA RTX A6000
Chips used: 1
Training power draw: 323 W
Model accessibility: Unreleased
Open weights: No
Epoch confidence: Confident