AWD-LSTM-MoS + dynamic evaluation (PTB, 2017)

Parameters

22M

Published

Nov 10, 2017

AWD-LSTM-MoS + dynamic evaluation (PTB, 2017) is an AI model developed by Carnegie Mellon University (CMU) (United States), first published in November 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 22,000,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 416 citations. Epoch AI rates the confidence of this record as speculative.

Full record

Organization: Carnegie Mellon University (CMU)
Country of organization: United States
Domain: Language
Task: Language modeling
Parameters: 22,000,000
Chips used: 3
Model accessibility: Unreleased
Open weights: No
Citations: 416
Epoch confidence: Speculative

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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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