apple-core-ai

Community model zoo for Apple Core AI (iOS/macOS 27): 66 models — LLM, VLM, OCR, ASR, TTS, image/video/music gen, forecasting — each gated against its source model and shipped with the recipe that produced it. Downloadable from Hugging Face, runnable in one line of Swift via CoreAIKit. Plus benchmarks, Metal kernels, knowledge base.

A practical lab for exploring Apple's Core AI framework, model assets, specialization, and on-device inference.

Reproducible on-device LLM benchmarks for Apple Silicon (iPhone 17 Pro, M4 Max): Apple Core AI, MLX, llama.cpp, LiteRT-LM and Core ML on the same model and harness, every number with its quantization and capture session; hybrid Mamba-2 models (Nemotron-3 Nano, Granite-4.0-H, Falcon-H1) included.

Run LLMs, VLMs, ASR, TTS, diarization and more fully on-device with Apple's Core AI framework (iOS/macOS 27) — one line of Swift per model, 60 models pinned to immutable Hugging Face revisions, each gated against its source model before enrollment. Plugs into Apple's FoundationModels API: LanguageModelSession with tool calling + guided generation.

Curated resources for Apple's Core AI framework (iOS/macOS 27) — official tooling, converted models, conversion pipelines, sample apps, benchmarks, and learning material.

The Art of Core AI — a free hands-on book on shipping AI models on iPhone/Mac with Apple's Core AI framework (iOS/macOS 27). 13 chapters + 7 labs, from first export to custom Metal kernels. Japanese edition on Zenn.

Sample apps for Apple's Core AI framework — chat with any exported LLM bundle on macOS, more coming

On-device agentic API demos (Foundation Models) running on third-party Core AI zoo models via coreai-kit

Model export recipes, Python primitives, and Swift runtime utilities for on-device AI