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TCN (148M)

Parameters
148M
Published
Feb 15, 2018

TCN (148M) 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 148,000,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 6,496 citations.

Full record
Organization
Carnegie Mellon University (CMU), Intel Labs
Country of organization
United States
Domain
Language
Task
Language modeling
Parameters
148,000,000
Model accessibility
Unreleased
Open weights
No
Citations
6,496
More from Carnegie Mellon University (CMU),Intel Labs
DEQ-Transformer (Post-LN) + Jacobian RegularisationDEQ-Transformer (Medium, Adaptive Embedding)DEQ-TrellisNet (PTB)DEQ-TrellisNet (WT-103)TCN (13M)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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