P-gemma

Parameters

7B

Published

Aug 12, 2024

P-gemma is an AI model developed by University of Siena (Italy), first published in August 2024. It works in the biology domain, on tasks such as protein generation and protein design.

Epoch AI has no training-compute estimate for this model. The model has 7,000,000,000 parameters. Training ran on 4 NVIDIA RTX A6000.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Gemma 7B. The reference paper has 2 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: University of Siena
Country of organization: Italy
Domain: Biology
Task: Protein generation, Protein design
Compute estimation method: Operation counting
Parameters: 7,000,000,000
Training hardware: NVIDIA RTX A6000
Chips used: 4
Training power draw: 2.4 kW
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Base model: Gemma 7B
Citations: 2
Epoch confidence: Confident