TCN (13M)

Parameters

13M

Published

Feb 15, 2018

TCN (13M) is an AI model developed by Carnegie Mellon University (CMU) and Intel Labs (United States), 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 13,000,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 6,496 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
Parameters: 13,000,000
Model accessibility: Unreleased
Open weights: No
Citations: 6,496
Epoch confidence: Confident

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DEQ-Transformer (Post-LN) + Jacobian Regularisation DEQ-Transformer (Medium, Adaptive Embedding)DEQ-TrellisNet (PTB)DEQ-TrellisNet (WT-103)TCN (148M)TCN (P-MNIST)

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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