DEQ-TrellisNet (PTB)

Parameters

24M

Published

Sep 3, 2019

DEQ-TrellisNet (PTB) is an AI model developed by Carnegie Mellon University (CMU) and Intel Labs (United States), first published in September 2019. It works in the language domain, on tasks such as language modeling/generation.

Epoch AI has no training-compute estimate for this model. The model has 24,000,000 parameters. It was trained on roughly 929K datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 873 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Carnegie Mellon University (CMU), Intel Labs
Country of organization: United States
Domain: Language
Task: Language modeling/generation
Parameters: 24,000,000
Dataset size: 929K
Model accessibility: Unreleased
Open weights: No
Citations: 873
Epoch confidence: Confident

More from Carnegie Mellon University (CMU),Intel Labs

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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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