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Gated HORNN (3rd order)

Parameters
9M
Published
Apr 30, 2016

Gated HORNN (3rd order) is an AI model developed by York University (Canada), first published in April 2016. It works in the language domain, on tasks such as language modeling.

Epoch AI has no training-compute estimate for this model. The model has 8,970,000 parameters. It was trained on roughly 22.4M datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 77 citations.

Full record
Organization
York University
Country of organization
Canada
Domain
Language
Task
Language modeling
Parameters
8,970,000
Dataset size
22.4M
Model accessibility
Unreleased
Open weights
No
Citations
77
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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