Apple Intelligence Server Models by Apple Machine Learning Research
About
Apple's Intelligence system harnesses the power of a family of large language models (LLMs) known for their robust architecture and adaptability. Central to this suite is the AFM-server, a massive cloud-based model crafted from the ground up. It significantly surpasses the compact, 3-billion parameter AFM-on-device model in size. Both models share a Transformer decoder-only structure and have been pre-trained on an extensive dataset of 6.3 trillion tokens. While the AFM-server is designed without pruning from a larger model, Apple enhances functionality using pluggable LoRA adapters, which allow the models to be dynamically adapted for specific tasks. This results in efficient and tailored performance without comprehensive retraining. In parallel, the OpenELM models, part of Apple’s innovation, utilize strategic layer-wise scaling for optimal parameter distribution, are available in various parameter sizes, and stand out as open-source, unlike the proprietary AFM models 136.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Apple Server | Use when provider availability and model metadata match the workload. | 2024-06 | — | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released |
|---|---|
| Apple Server | 2024-06 |
Frequently Asked Questions
- What is Apple Intelligence Server used for?
- Apple Intelligence Server is used for coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does Apple Intelligence Server compare to OpenELM?
- Apple Intelligence Server by Apple Machine Learning Research is strongest where you need coding, while OpenELM by Apple Machine Learning Research is the closest related family to check for adjacent model selection. Apple Intelligence Server has 1 listed variant, so compare the specs and pricing tables before choosing a production model.
- Which Apple Intelligence Server model should I use?
- If price is the main constraint, use the pricing table first because Apple Intelligence Server does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Apple Server.
