AI models
TrellisNet-MoS (1.4x larger) PTB
Parameters
34M
Published
Oct 15, 2018
TrellisNet-MoS (1.4x larger) PTB is an AI model developed by Carnegie Mellon University (CMU), Intel Labs and Bosch Center for Artificial Intelligence (United States and Germany), first published in October 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 34,000,000 parameters.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 164 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Carnegie Mellon University (CMU), Intel Labs, Bosch Center for Artificial Intelligence
- Country of organization
- United States, Germany
- Domain
- Language
- Task
- Language modeling
- Parameters
- 34,000,000
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 164
- Epoch confidence
- Confident
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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