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Gemma 4 just replaced my whole local LLM stack - MakeUseOf

2.3B parameters. 1.5GB RAM. Google's Gemma 4 just made running cutting-edge AI locally viable for the first time.

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Exploring the next frontier of AI research.AI illustration by KeyNews
The KeyNews take

Why it matters

Google's Gemma 4 represents a meaningful shift in on-device AI efficiency—a 2.3B model matching 70B-scale performance on minimal hardware removes a key barrier to local-first AI adoption and challenges the cloud-dependency thesis.

The key facts

6 to know
  1. Gemma 4: 2.3B parameters

  2. Runs on 1.5GB RAM

  3. Performance parity with 70B-scale models claimed

  4. Offline/on-device capability on Pixel phones

  5. Privacy-focused local execution

  6. Published April 18, 2026

Go to the source

Reuters Technologynews.google.com

Publisher excerpt: Gemma 4 just replaced my whole local LLM stack MakeUseOf I replaced ChatGPT with Google's offline AI on my phone for 24 hours — here's my verdict Tom's Guide How Google’s 2.3B Gemma 4 Model Rivals 70B Giants on Just 1.5GB of RAM Geeky Gadgets Forget Gemini and Claude, this is the free game-changing…
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