AI models
Feedback Transformer
Training compute
7.7×10¹⁸ FLOP
Parameters
126M
Published
Feb 21, 2020
Feedback Transformer is an AI model developed by LORIA, University of Lorraine and Facebook AI Research (France and United States), first published in February 2020. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 7.7×10¹⁸ FLOP of compute (estimation method: operation counting,hardware). The model has 126,000,000 parameters. It was trained on roughly 103M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 41 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- LORIA, University of Lorraine, Facebook AI Research
- Country of organization
- France, United States
- Domain
- Language
- Task
- Language modeling
- Training compute
- 7.7×10¹⁸ FLOP
- Compute estimation method
- Operation counting, Hardware
- Parameters
- 126,000,000
- Dataset size
- 103M
- Training time
- 84 h
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 41
- Epoch confidence
- Speculative
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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