Running Local LLMs for Free: Unlocking the Power of Gemma 4 on Mac Mini

infrastructure #llm 📝 Blog|Analyzed: Apr 18, 2026 21:01•

Published: Apr 18, 2026 14:25

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1 min read

Analysis

This article offers a fantastic, practical guide for developers looking to harness powerful coding agents without breaking the bank. By utilizing the newly released Gemma 4 model via Ollama on a base-model Mac Mini, the author demonstrates highly accessible and cost-effective local Inference. It is an incredibly exciting showcase of how Open Source tools are making advanced AI capabilities completely free and available to everyone right at their desks.

Key Takeaways

•The author successfully ran the lightweight Gemma 4:e4b model locally to simulate a premium coding agent experience at zero cost.
•The setup utilizes user-friendly Open Source tools like Ollama and Homebrew on a standard macOS environment.
•The hardware used was an entry-level Mac Mini M4 with 16GB of RAM, proving that powerful AI Inference is accessible on consumer hardware.

Reference / Citation

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"I usually rely on claude code and gemini cli for work, but I hesitated to pay for a personal account... I wanted to take full advantage of CLAUDE.md and ideally use claude code completely free of charge."

Zenn ClaudeApr 18, 2026 14:25

* Cited for critical analysis under Article 32.

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