FrontierThe story, in brief
How Google’s 2.3B Gemma 4 Model Rivals 70B Giants on Just 1.5GB of RAM - Geeky Gadgets
2.3B parameters. 1.5GB RAM. Google's Gemma 4 just made 70B models look bloated.
The KeyNews take
Why it matters
Google's Gemma 4 demonstrates a major efficiency breakthrough in model compression, enabling on-device inference on smartphones without internet—shifting the competitive landscape from cloud-dependent models to privacy-first local deployment. This challenges the 'bigger is better' narrative and has direct implications for edge AI adoption.
The key facts
6 to knowGemma 4: 2.3B parameters
Runs on 1.5GB RAM
Rivals 70B parameter models in capability claims
Offline/on-device inference on smartphones
Privacy-focused (no internet required)
Published April 17, 2026
Go to the source
Reuters Technologynews.google.com
Publisher excerpt: How Google’s 2.3B Gemma 4 Model Rivals 70B Giants on Just 1.5GB of RAM Geeky Gadgets I replaced ChatGPT with Google's offline AI on my phone for 24 hours — here's my verdict Tom's Guide Gemma 4 just replaced my whole local LLM stack MakeUseOf Forget Gemini and Claude, this is the free game-changing…