Dev.to
7/24/2026

The original title is: "Privacy-First Health: Running Llama-3 Locally on iPhone with MLX-Swift"
Original: Privacy-First Health: Running Llama-3 Locally on iPhone with MLX-Swift
Short summary
A detailed tutorial on building a privacy-first health coach that runs Llama-3 8B (4-bit quantized) locally on iPhone using MLX-Swift and Apple Silicon's Unified Memory Architecture. The app fetches Heart Rate Variability data from HealthKit, formats it as a prompt, and generates semantic health summaries entirely on-device with zero cloud round-trips. Includes Swift code for HealthKit integration and MLX model loading, targeting iPhone 15 Pro+ with 8GB RAM.
- •Runs Llama-3 8B 4-bit quantized locally on iPhone via MLX-Swift
- •Fetches HRV data from HealthKit and generates on-device health summaries
- •Zero latency, total privacy, offline capability—no data leaves the device
Generated with AI, which can make mistakes.
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