AI models
SimPO
Parameters
9B
Published
Nov 1, 2024
SimPO is an AI model developed by Princeton University and University of Virginia (United States), first published in November 2024. It works in the language domain, on tasks such as language modeling/generation and question answering.
Epoch AI has no training-compute estimate for this model. The model has 9,000,000,000 parameters. Training ran on 8 NVIDIA H100 SXM5 80GB for about 1.7 hours.
Access: Open weights (restricted use). Its weights are openly available. It is built on top of Gemma 2 9B. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Princeton University, University of Virginia
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Compute estimation method
- Hardware
- Parameters
- 9,000,000,000
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chips used
- 8
- Training time
- 2 h
- Training power draw
- 11.0 kW
- Numerical format
- BF16
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Base model
- Gemma 2 9B
- Epoch confidence
- Confident
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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