Apple Releases Open Source AI Models That Run On-Device

MacRumors— Apple today released several open source large language models (LLMs) that are designed to run on-device rather than through cloud servers. Called OpenELM (Open-source Efficient Language Models), the LLMs are available on the Hugging Face Hub, a community for sharing AI code. As outlined in a white paper [PDF], there are eight total OpenELM models, four of which were pre-trained using the CoreNet library, and four instruction tuned models. Apple uses a layer-wise scaling strategy that is...

VentureBeat—Apple releases OpenELM: small, open source AI models designed to run on-device. In terms of performance, the OpenLLM results shared by Apple show that the new models perform fairly well, especially the one with 3 billion parameters.

Geeky Gadgets—Apple release new open source AI models for on device processing. In a significant move towards enhancing privacy and processing efficiency, Apple has introduced a series of open source large language models (LLMs) known as OpenELM. These models are uniquely designed to operate directly on devices, diverging from the traditional reliance on cloud-based computations. This shift not only promises to improve user privacy by processing data […]

9to5Mac—Apple releases new family of Open-source Efficient Language Models as AI work progresses. Ahead of iOS 18’s debut at WWDC in June, Apple has released a family of open-source large language models. Called OpenELM, Apple describes these as: a family of Open-source Efficient Language Models. In its testing, Apple says that OpenELM offers similar performance to other open language models, but with less training data. more