Apple Intelligence On-Device Models by Apple Machine Learning Research
About
Apple's on-device large language model family, a core component of Apple Intelligence, is designed for efficient and private operation directly on iPhones, iPads, and Macs. These models are optimized for speed and power efficiency, leveraging Apple Silicon to minimize memory footprint and power consumption 13. The family includes models of varying sizes, allowing for adaptability to different tasks and device capabilities 3. While specific details about the individual models within the family are not fully public, Apple's research indicates a focus on responsible AI development, including measures to mitigate bias and protect user privacy 1. The models power a range of features, including text summarization, rewriting, and proofreading, as well as enhanced Siri capabilities and intelligent image processing 1. Apple's commitment to on-device processing ensures that user data remains secure and private, minimizing reliance on cloud-based solutions 1. The models are continuously improved and expanded upon, with additional features and language support planned for future releases 1.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Apple On-Device | Use when the workload needs 3B parameters. | 2024-06 | 3B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Parameters |
|---|---|---|
| Apple On-Device | 2024-06 | 3B |
Frequently Asked Questions
- What is Apple Intelligence On-Device used for?
- Apple's on-device large language model family, a core component of Apple Intelligence, is designed for efficient and private operation directly on iPhones, iPads, and Macs.
- How does Apple Intelligence On-Device compare to OpenELM?
- Apple Intelligence On-Device by Apple Machine Learning Research is strongest where you need its listed use cases, while OpenELM by Apple Machine Learning Research is the closest related family to check for adjacent model selection. Apple Intelligence On-Device has 1 listed variant, so compare the specs and pricing tables before choosing a production model.
- Which Apple Intelligence On-Device model should I use?
- If price is the main constraint, use the pricing table first because Apple Intelligence On-Device does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Apple On-Device.
