Fine-tuning large language models has traditionally required expensive cloud GPU resources and complex infrastructure setups. Apple’s MLX framework changes this paradigm by enabling efficient local fine-tuning on Apple Silicon hardware using advanced techniques like LoRA and QLoRA.
In this comprehensive guide, we’ll explore how to leverage MLX LM to fine-tune state-of-the-art language models directly on your Mac, making custom AI development accessible to developers and researchers working with limited computational resources.