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mlx

Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.

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# Using MLX for LLMs on Apple Silicon

MLX-LM is a Python package for running large language models on Apple Silicon, leveraging the MLX framework for optimized performance with unified memory architecture.

## Table of Contents

- [Core Concepts](#core-concepts)
- [Installation](#installation)
- [Text Generation](#text-generation)
- [Interactive Chat](#interactive-chat)
- [Model Conversion](#model-conversion)
- [Quantization](#quantization)
- [Fine-tuning with LoRA](#fine-tuning-with-lora)
- [Serving Models](#serving-models)