AI models
Apertus 8B
Parameters
8B
Published
Sep 2, 2025
Apertus 8B is an AI model developed by ETH Zurich, Ecole Polytechnique Federale de Lausanne (EPFL), Swiss National Supercomputing Centre (CSCS) and Swisscom (Switzerland), first published in September 2025. It works in the language domain, on tasks such as language modeling/generation, question answering, code generation and translation.
Epoch AI has no training-compute estimate for this model. The model has 8,000,000,000 parameters. Training ran on 4,096 NVIDIA GH200.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- ETH Zurich, Ecole Polytechnique Federale de Lausanne (EPFL), Swiss National Supercomputing Centre (CSCS), Swisscom
- Country of organization
- Switzerland
- Domain
- Language
- Task
- Language modeling/generation, Question answering, Code generation, Translation
- Compute estimation method
- Operation counting
- Parameters
- 8,000,000,000
- Training hardware
- NVIDIA GH200
- Chips used
- 4,096
- Training power draw
- 5.6 MW
- Numerical format
- BF16
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
More from ETH Zurich,Ecole Polytechnique Federale de Lausanne (EPFL),Swiss National Supercomputing Centre (CSCS),Swisscom
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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