OpenELM
OpenELM is a model family from Apple36, with 1 assessed release in this catalog. Licenses and availability are recorded for each release, not for the family; its releases use the Apple Machine Learning Research Model License Agreement.
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)
On AI on Hugging Face: apple/OpenELM-3B-Instruct
Releases assessed
| Release | Weights | Tier (USASI rubric v0.2) | License | Released |
|---|---|---|---|---|
| OpenELM 3B Instruct | Weights: Public | Model-disclosure tier (USASI rubric v0.2): Open-weight | 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
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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APA style
USASI. (2026, September 29). OpenELM. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/openelm/
BibTeX
@misc{usasi_openelm,
author = {{USASI}},
title = {OpenELM},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/openelm/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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