In this post, we explore the process of fine-tuning a language model for function-calling using MLX-LM. Following the Hugging Face Agents course notebook, we’ll walk through the steps from setting up the environment to training the model with LoRA adapters. The goal is to empower the model with the ability to intelligently plan and generate function calls, making it a versatile tool for interactive applications. Medium post can be found here

In this post, we are going to show a tutorial on using the Qwen2.5-VL model with MLX-VLM for visual understanding tasks. We are going to cover:

This blog post is going to be a tutorial on how to fine-tune a LLM with LoRA and the mlx-lm package. Medium post can be found here and Substack here.