Engine-Base (NE)

Parameters

124M

Published

Dec 11, 2021

Engine-Base (NE) is an AI model developed by Boston University (United States), first published in December 2021. It works in the language, vision and multimodal domain, on tasks such as named entity recognition (ner).

Epoch AI has no training-compute estimate for this model. The model has 124,000,000 parameters. It was trained on roughly 602.9M datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 3 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Boston University
Country of organization: United States
Domain: Language, Vision, Multimodal
Task: Named entity recognition (NER)
Parameters: 124,000,000
Dataset size: 602.9M
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 3
Epoch confidence: Confident