Mogrifier (d2, MoS2, MC) + dynamic eval

Parameters

35M

Published

Sep 4, 2019

Mogrifier (d2, MoS2, MC) + dynamic eval is an AI model developed by DeepMind and University of Oxford (United Kingdom), first published in September 2019. 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 35,000,000 parameters. It was trained on roughly 2M datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 109 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: DeepMind, University of Oxford
Country of organization: United Kingdom
Domain: Language
Task: Language modeling
Parameters: 35,000,000
Dataset size: 2M
Model accessibility: Unreleased
Open weights: No
Citations: 109
Epoch confidence: Confident