AI models
Segatron -XL base, M=150 + HCP
Training compute
1.7×10¹⁸ FLOP
Parameters
151M
Published
Mar 21, 2022
Segatron -XL base, M=150 + HCP is an AI model developed by Microsoft Research and University of Waterloo (United States and Canada), first published in March 2022. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.7×10¹⁸ FLOP of compute. The model has 151,000,000 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
- Microsoft Research, University of Waterloo
- Country of organization
- United States, Canada
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.7×10¹⁸ FLOP
- Parameters
- 151,000,000
- Dataset size
- 103M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 17
- Epoch confidence
- Confident
More from Microsoft Research,University of Waterloo
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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