AI models
Shortformer
Training compute
3×10¹⁸ FLOP
Parameters
247M
Published
Dec 31, 2020
Shortformer is an AI model developed by University of Washington, Facebook AI Research and Allen Institute for AI (United States and France), first published in December 2020. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 3×10¹⁸ 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 100 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Washington, Facebook AI Research, Allen Institute for AI
- Country of organization
- United States, France
- Domain
- Language
- Task
- Language modeling
- Training compute
- 3×10¹⁸ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 247,000,000
- Dataset size
- 103M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 100
- Epoch confidence
- Confident
More from University of Washington,Facebook AI Research,Allen Institute for AI
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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