Model family
OpenELM
Family overview — summarizes releases; licenses and availability belong to each release.
OpenELM is a family of small language models released by Apple in April 2024 in 270M, 450M, 1.1B, and 3B parameter sizes, each as a pretrained and an instruction-tuned model. The models use layer-wise scaling to allocate parameters across transformer layers, and Apple published them together with its CoreNet training library, pre-training configurations, training logs, and evaluation instructions.165
- Repository: OpenELM project in CoreNet (external site: github.com)
- Model hub: OpenELM 3B Instruct on Hugging Face (external site: huggingface.co)
- Paper: OpenELM paper (arXiv 2404.14619) (external site: arxiv.org)
Last reviewedEntry updated Documented release
Releases assessed
Each release is assessed on its own. This family has no family-wide openness label.
| Release | Weights | Tier (USASI rubric v0.1) | License | Released |
|---|---|---|---|---|
| OpenELM 3B Instruct | Weights: Public | Model-disclosure tier (USASI rubric v0.1): Open-stack | Apple Machine Learning Research Model License Agreement, Apple software license (CoreNet) | Apr 2024 |
What it is useful for
The model card presents the release as a resource for open research on language models and notes that the models are provided without safety guarantees.1
Organization context
U.S. eligibility
Project eligibility rests on documented governing or maintaining entities, not on contributors.
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.