AI models
Transformer Large + HCP
Training compute
6.1×10¹⁸ FLOP
Parameters
257M
Published
Mar 21, 2022
Transformer Large + HCP is an AI model developed by University of Waterloo and Microsoft Research (Canada and United States), first published in March 2022. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 6.1×10¹⁸ FLOP of compute (estimation method: operation counting). The model has 257,000,000 parameters. It was trained on roughly 103M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 17 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Waterloo, Microsoft Research
- Country of organization
- Canada, United States
- Domain
- Language
- Task
- Language modeling
- Training compute
- 6.1×10¹⁸ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 257,000,000
- Dataset size
- 103M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 17
- 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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