A new guide from Machine Learning Mastery walks through local tool calling with three prominent open model families: Gemma 4, Llama 3, and Mistral. Tool calling lets a model request external actions or structured outputs, and doing it locally avoids sending data to remote APIs.
The guide explains how each model family implements this capability and highlights the trade-offs developers should consider. Because the source is a single tutorial, it presents one consistent comparison rather than conflicting viewpoints.
For developers working on local AI applications, the practical takeaway is that model choice depends on the specific tool-calling workflow and deployment constraints. The article serves as a starting point for evaluating which family fits a given project.