AI models
Base LM + kNN LM + Continuous Cache
Training compute
3.1×10¹⁹ FLOP
Parameters
247M
Published
Nov 1, 2019
Base LM + kNN LM + Continuous Cache is an AI model developed by Stanford University and Facebook AI Research (United States and France), first published in November 2019. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 3.1×10¹⁹ FLOP of compute (estimation method: operation counting). The model has 247,000,000 parameters. It was trained on roughly 103M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 1,049 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Stanford University, Facebook AI Research
- Country of organization
- United States, France
- Domain
- Language
- Task
- Language modeling
- Training compute
- 3.1×10¹⁹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 247,000,000
- Dataset size
- 103M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 1,049
- Epoch confidence
- Likely
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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