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Downloadable models and conversion recipes for Apple's Core AI on iPhone and Mac. Chat, vision, speech and generative models with per-model validation records, Swift examples through CoreAIKit, and a downloadable Mac app.
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.
Swift SDK for running chat, vision and speech models on iPhone and Mac with Apple's Core AI. Model download and caching, FoundationModels integration, and runnable examples with documented OS, SDK and model requirements.
Curated resources for Apple's Core AI: official documentation, model downloads, Swift packages, sample apps, benchmarks and practical learning material for on-device AI on iPhone and Mac.
Free hands-on book about bringing AI models to iPhone and Mac with Apple's Core AI. Follow practical explanations and labs from model export to Swift integration and custom Metal kernels. English edition online; Japanese edition on Zenn.
Sample apps for Apple's Core AI framework on Mac. Start with a SwiftUI chat app for exported LLM bundles, then follow the model zoo and CoreAIKit for model downloads and integration examples.