Building a Privacy-First AI Health Coach: On-Device Llama-3 Deployment on iPhone

Short summary

This tutorial walks through building a privacy-preserving AI health coach entirely on iOS using a quantized Llama-3 model deployed via MLC-LLM. It covers model quantization to 4-bit precision, integrating HealthKit data through Swift, using React Native for the UI, and Metal GPU acceleration for efficient inference. Key production concerns include memory limits, model lazy loading, thermal throttling, and offline-first state management.

• •Deploy Llama-3 on iOS via MLC-LLM with 4-bit quantization for on-device privacy
• •Use HealthKit + Metal GPU acceleration for real-time health insights without cloud
• •Address production challenges: memory limits, thermal throttling, offline state management

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