AI models
DARTS (second order) (PTB)
Parameters
23M
Published
Jun 24, 2018
DARTS (second order) (PTB) is an AI model developed by Carnegie Mellon University (CMU) and DeepMind (United States and United Kingdom), first published in June 2018. It works in the language domain, on tasks such as language modeling and neural architecture search - nas.
Epoch AI has no training-compute estimate for this model. The model has 23,000,000 parameters. It was trained on roughly 929K datapoints.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 4,929 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Carnegie Mellon University (CMU), DeepMind
- Country of organization
- United States, United Kingdom
- Domain
- Language
- Task
- Language modeling, Neural Architecture Search - NAS
- Parameters
- 23,000,000
- Dataset size
- 929K
- Chips used
- 1
- Training time
- 24 h
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 4,929
- 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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