GRU + p-tHSM (pretrain via Brown) (WT103)

Parameters

206M

Published

Aug 19, 2017

GRU + p-tHSM (pretrain via Brown) (WT103) is an AI model developed by Beihang University, University of Montreal / Université de Montréal and Chongqing University (China and Canada), first published in August 2017. 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 206,000,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 6 citations.

Full record

Organization: Beihang University, University of Montreal / Université de Montréal, Chongqing University
Country of organization: China, Canada
Domain: Language
Task: Language modeling
Parameters: 206,000,000
Model accessibility: Unreleased
Open weights: No
Citations: 6

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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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