AI models
EGRU (PTB)
Parameters
55M
Published
Jun 13, 2022
EGRU (PTB) is an AI model developed by Ruhr University Bochum, Technische Universität Dresden and University of London (Germany and United Kingdom), first published in June 2022. It works in the language domain, on tasks such as language modeling.
Epoch AI has no training-compute estimate for this model. The model has 55,000,000 parameters. It was trained on roughly 1.2M datapoints. Training ran on 1 NVIDIA A100.
Access: Unreleased. Its weights are not openly released. The reference paper has 34 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Ruhr University Bochum, Technische Universität Dresden, University of London
- Country of organization
- Germany, United Kingdom
- Domain
- Language
- Task
- Language modeling
- Parameters
- 55,000,000
- Dataset size
- 1.2M
- Training hardware
- NVIDIA A100
- Chips used
- 1
- Training power draw
- 441 W
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 34
- Epoch confidence
- Confident
More from Ruhr University Bochum,Technische Universität Dresden,University of London
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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