AI models
GCRN-M1, dropout
Training compute
3×10¹⁵ FLOP
Parameters
42M
Published
Dec 22, 2016
GCRN-M1, dropout is an AI model developed by Ecole Polytechnique Federale de Lausanne (EPFL) (Switzerland), first published in December 2016. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 3×10¹⁵ FLOP of compute (estimation method: operation counting). The model has 42,000,000 parameters. It was trained on roughly 929K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 957 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Ecole Polytechnique Federale de Lausanne (EPFL)
- Country of organization
- Switzerland
- Domain
- Language
- Task
- Language modeling
- Training compute
- 3×10¹⁵ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 42,000,000
- Dataset size
- 929K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 957
- Epoch confidence
- Confident
More from Ecole Polytechnique Federale de Lausanne (EPFL)
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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