Multipop Adaptive Continuous Stack (WT2)

Parameters

26M

Published

Feb 15, 2018

Multipop Adaptive Continuous Stack (WT2) is an AI model developed by DeepMind and University of Oxford (United Kingdom), first published in February 2018. 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 26,000,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 63 citations.

Full record

Organization: DeepMind, University of Oxford
Country of organization: United Kingdom
Domain: Language
Task: Language modeling
Parameters: 26,000,000
Model accessibility: Unreleased
Open weights: No
Citations: 63