AI models
s1
Parameters
32B
Published
Jan 14, 2025
s1 is an AI model developed by Stanford University, University of Washington, Allen Institute for AI and Contextual AI (United States), first published in January 2025. It works in the language domain, on tasks such as language modeling/generation, question answering and quantitative reasoning.
Epoch AI has no training-compute estimate for this model. The model has 32,000,000,000 parameters. Training ran on 16 NVIDIA H100 SXM5 80GB for about 0.27 hours.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen2.5 Instruct (72B). The reference paper has 1,219 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Stanford University, University of Washington, Allen Institute for AI, Contextual AI
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation, Question answering, Quantitative reasoning
- Compute estimation method
- Hardware, Operation counting
- Parameters
- 32,000,000,000
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chips used
- 16
- Training time
- 0 h
- Training power draw
- 22.0 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Qwen2.5 Instruct (72B)
- Citations
- 1,219
- Epoch confidence
- Confident
More from Stanford University,University of Washington,Allen Institute for AI,Contextual AI
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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