WWDC25: Explore large language models on Apple silicon with MLX | Apple

Video Description

Discover MLX LM – designed specifically to make working with large language models simple and efficient on Apple silicon. We’ll cover how to fine-tune and run inference on state-of-the-art large language models on your Mac, and how to seamlessly integrate them into Swift-based applications and projects. Explore related documentation, sample code, and more: MLX Swift: https://github.com/ml-explore/mlx-swift MLX LM - Python API: https://github.com/ml-explore/mlx-lm MLX Explore - Python API: https://github.com/ml-explore/mlx MLX Framework: https://mlx-framework.org MLX Llama Inference: https://ml-explore.github.io/mlx/build/html/examples/llama-inference.html MLX: https://ml-explore.github.io/mlx/ MLX Swift Examples: https://github.com/ml-explore/mlx-swift-examples MLX Examples: https://github.com/ml-explore/mlx-examples Get started with MLX for Apple silicon: https://developer.apple.com/videos/play/wwdc2025/315 00:00 - Introduction 03:07 - MLX LM Introduction 03:51 - Text generation 08:42 - Quantization 11:39 - Fine-tuning 17:02 - LLMs in MLXSwift More Apple Developer resources: Video sessions: https://apple.co/VideoSessions Documentation: https://apple.co/DeveloperDocs Forums: https://apple.co/DeveloperForums App: https://apple.co/DeveloperApp