Open Efficient Language Models. 270M to 3B parameter dense Transformers with layer-wise scaling (varying width per layer for parameter efficiency). Fully open: training code, data, weights, and evaluation.

Apple's first open-weight language models. Trained on publicly available data. ICML 2024 workshop. Apache 2.0.

Model Details

Architecture DENSE
Parameters 3B

Variants

Name Parameters Notes
OpenELM 270M 270M —
OpenELM 450M 450M —
OpenELM 1.1B 1.1B —
OpenELM 3B 3B —

Paper

Citations 2
open-weightopen-source