AI models
C2S-Scale
Parameters
27B
Published
Oct 11, 2025
C2S-Scale is an AI model developed by Google Research, Yale University, Google DeepMind, Brown University and University of Southern California (United States), first published in October 2025. It works in the language and biology domain, on tasks such as cell biology, rna sequence generation, language modeling/generation and question answering.
Epoch AI has no training-compute estimate for this model. The model has 27,000,000,000 parameters. It was trained on roughly 1B datapoints. Training ran on 256 Google TPU v4.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Gemma 2 27B. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Google Research, Yale University, Google DeepMind, Brown University, University of Southern California
- Country of organization
- United States
- Domain
- Language, Biology
- Task
- Cell Biology, RNA sequence generation, Language modeling/generation, Question answering
- Compute estimation method
- Operation counting
- Parameters
- 27,000,000,000
- Dataset size
- 1B
- Training hardware
- Google TPU v4
- Chips used
- 256
- Training power draw
- 170.0 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Gemma 2 27B
- Epoch confidence
- Likely
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.
← All ai models