AI models
retrieval-quality-kNN-LMs
Parameters
247M
Published
Oct 28, 2022
retrieval-quality-kNN-LMs is an AI model developed by University of Massachusetts Amherst (United States), first published in October 2022. 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 247,000,000 parameters. It was trained on roughly 103M datapoints.
Access: Unreleased. Its weights are not openly released. It is built on top of Base LM + kNN LM + Continuous Cache. The reference paper has 15 citations.
Full record
- Organization
- University of Massachusetts Amherst
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling
- Parameters
- 247,000,000
- Dataset size
- 103M
- Model accessibility
- Unreleased
- Open weights
- No
- Base model
- Base LM + kNN LM + Continuous Cache
- Citations
- 15
More from University of Massachusetts Amherst
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.
← All ai models