AI models
Segatron XL large, M=384
Training compute
2.7×10¹⁹ FLOP
Parameters
257M
Published
Apr 30, 2020
Segatron XL large, M=384 is an AI model developed by University of Waterloo, Peking University and RSVP.ai (Canada and China), first published in April 2020. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 2.7×10¹⁹ FLOP of compute (estimation method: operation counting). The model has 257,000,000 parameters. It was trained on roughly 103M datapoints.
Access: Open weights (non-commercial). Its weights are openly available. The reference paper has 13 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Waterloo, Peking University, RSVP.ai
- Country of organization
- Canada, China
- Domain
- Language
- Task
- Language modeling
- Training compute
- 2.7×10¹⁹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 257,000,000
- Dataset size
- 103M
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Citations
- 13
- 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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