Exploring MLX Swift: Adding On-Device Inference to your App

Learn how to convert Hugging Face models to MLX format for optimized performance on Apple devices. This step-by-step guide covers setting up Python, installing MLX-LM, logging into Hugging Face, & converting models with quantization for iOS apps. Perfect for developers new to Python and MLX!

Learn how to integrate MLX Swift's vision capabilities into your iOS apps for on-device AI inference implementing Vision Language Models (VLMs) using PaliGemma-3B-Mix, enabling features like image description, visual Q&A, and object detection running locally on Apple silicon devices.

Learn how to integrate custom large language models into iOS/macOS apps using MLX Swift. This guide shows how to configure and run models like Qwen 2.5 locally on Apple silicon, with tips for handling memory limits and entitlements for on-device AI inference.