AI models
LBL
Training compute
5×10¹⁴ FLOP
Parameters
2M
Published
Jun 27, 2012
LBL is an AI model developed by University College London (UCL) (United Kingdom), first published in June 2012. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 5×10¹⁴ FLOP of compute (estimation method: operation counting). The model has 2,000,000 parameters. It was trained on roughly 929K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 835 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- University College London (UCL)
- Country of organization
- United Kingdom
- Domain
- Language
- Task
- Language modeling
- Training compute
- 5×10¹⁴ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 2,000,000
- Dataset size
- 929K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 835
- Epoch confidence
- Likely
More from University College London (UCL)
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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