AI models
PAGnol-XL
Training compute
2.6×10²⁰ FLOP
Parameters
1.5B
Published
Oct 16, 2021
PAGnol-XL is an AI model developed by LightOn, Laboratoire de Physique de l'Ecole Normale (LPENS) and INRIA (France), first published in October 2021. It works in the language domain, on tasks such as language modeling, language modeling/generation and translation.
Training it took an estimated 2.6×10²⁰ FLOP of compute (estimation method: reported). The model has 1,500,000,000 parameters. Training ran on NVIDIA Tesla V100 SXM2.
Access: API access. Its weights are not openly released. The reference paper has 10 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- LightOn, Laboratoire de Physique de l'Ecole Normale (LPENS), INRIA
- Country of organization
- France
- Domain
- Language
- Task
- Language modeling, Language modeling/generation, Translation
- Training compute
- 2.6×10²⁰ FLOP
- Compute estimation method
- Reported
- Parameters
- 1,500,000,000
- Training hardware
- NVIDIA Tesla V100 SXM2
- Model accessibility
- API access
- Open weights
- No
- Citations
- 10
- 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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