AI models
Teuken 7B
Training compute
2.1×10²³ FLOP
Parameters
7B
Published
Aug 21, 2025
Teuken 7B is an AI model developed by OpenGPT-X, Fraunhofer Institute for Algorithms and Scientific Computing, Forschungszentrum Julich and Technische Universität Dresden (Germany), first published in August 2025. It works in the language domain, on tasks such as language modeling/generation and question answering.
Training it took an estimated 2.1×10²³ FLOP of compute (estimation method: operation counting,hardware). The model has 7,000,000,000 parameters. It was trained on roughly 4T datapoints. Training ran on 512 NVIDIA A100 SXM4 40 GB.
Access: Open weights (non-commercial). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- OpenGPT-X, Fraunhofer Institute for Algorithms and Scientific Computing, Forschungszentrum Julich, Technische Universität Dresden
- Country of organization
- Germany
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Training compute
- 2.1×10²³ FLOP
- Compute estimation method
- Operation counting, Hardware
- Parameters
- 7,000,000,000
- Dataset size
- 4T
- Training hardware
- NVIDIA A100 SXM4 40 GB
- Chips used
- 512
- Chip-hours
- 812.3K
- Training power draw
- 400.4 kW
- Numerical format
- BF16
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- 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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