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title: How to Implement Tool Calling with Gemma 4 and Python
description: A hands-on guide to building a local, privacy-first tool-calling agent using Google&#x27;s Gemma 4 model family (specifically the 2B edge variant) and Ollama. The...
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# How to Implement Tool Calling with Gemma 4 and Python

**[Machine Learning Mastery](https://daily.dev/sources/mlm)** · 8 min read · 3 upvotes · 0 comments

## Summary

A hands-on guide to building a local, privacy-first tool-calling agent using Google's Gemma 4 model family (specifically the 2B edge variant) and Ollama. The tutorial covers the concept of tool/function calling in LLMs, setting up Ollama with gemma4:e2b, and implementing four real-world tools in Python (weather, news, time, currency conversion) using only standard library dependencies. The agent is tested with multi-tool queries, demonstrating reliable structured JSON output and function dispatch entirely offline on consumer hardware.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://machinelearningmastery.com/how-to-implement-tool-calling-with-gemma-4-and-python/>

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---

Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#ollama](https://daily.dev/tags/ollama), [#gemma](https://daily.dev/tags/gemma)

[View this post on daily.dev](https://daily.dev/posts/how-to-implement-tool-calling-with-gemma-4-and-python-5amoanysg)

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