AI models
Transformer-XL DeFINE (141M)
Training compute
1.7×10¹⁸ FLOP
Parameters
141M
Published
Nov 27, 2019
Transformer-XL DeFINE (141M) is an AI model developed by University of Washington and Allen Institute for AI (United States), first published in November 2019. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.7×10¹⁸ FLOP of compute (estimation method: operation counting). The model has 141,000,000 parameters. It was trained on roughly 103M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 29 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- University of Washington, Allen Institute for AI
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.7×10¹⁸ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 141,000,000
- Dataset size
- 103M
- Numerical format
- FP32
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 29
- Epoch confidence
- Speculative
More from University of Washington,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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