AI models
ONLSTM-SYD
Training compute
1.4×10¹⁷ FLOP
Parameters
25M
Published
May 12, 2020
ONLSTM-SYD is an AI model developed by Westlake University, Institute for Advanced Study, McGill University, Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), CIFAR AI Research and University of Montreal / Université de Montréal (China, United States and Canada), first published in May 2020. It works in the language domain, on tasks such as language modeling.
Training it took an estimated 1.4×10¹⁷ FLOP of compute (estimation method: operation counting). The model has 25,000,000 parameters. It was trained on roughly 912.3K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 15 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Westlake University, Institute for Advanced Study, McGill University, Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), CIFAR AI Research, University of Montreal / Université de Montréal
- Country of organization
- China, United States, Canada
- Domain
- Language
- Task
- Language modeling
- Training compute
- 1.4×10¹⁷ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 25,000,000
- Dataset size
- 912.3K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 15
- 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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