Adaptive LSTM + DeFINE

Parameters

48.7M

Published

Nov 27, 2019

Adaptive LSTM + DeFINE is an AI model developed by University of Washington (United States), first published in November 2019. It works in the language domain, on tasks such as language modeling and translation.

Epoch AI has no training-compute estimate for this model. The model has 48,690,000 parameters. Training ran on 2 NVIDIA GeForce GTX 1080 Ti.

Access: Unreleased. Its weights are not openly released. The reference paper has 29 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: University of Washington
Country of organization: United States
Domain: Language
Task: Language modeling, Translation
Parameters: 48,690,000
Training hardware: NVIDIA GeForce GTX 1080 Ti
Chips used: 2
Training power draw: 1.0 kW
Model accessibility: Unreleased
Open weights: No
Citations: 29
Epoch confidence: Confident