Exploring MLX Swift: Testing LLMs and VLMs with llm-tool
Loading content...
Post Topics
Explore more in these categories:
Related Articles
Exploring MLX: Quantizing a Model with MLX for iOS Developers
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!
Exploring MLX Swift: Adding On-Device Inference to your App
Learn how to integrate MLX Swift into your iOS and macOS apps for on-device AI inference. This guide shows how to add local language models using Apple's MLX framework, enabling offline AI capabilities on Apple silicon.
Exploring MLX Swift: Adding On-Device Vision Models to Your App
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.