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[ARTICLE · art-10662] src=dev.to ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

Gemma 4 deep dive: why a 1.5 GB model scores 37.5% on competition mathematics, how the MoE routing actually works, and which model fits your hardware. Full breakdown inside.

The article provides a technical deep dive into Google's Gemma 4 model, explaining how its 1.5 GB size achieves a 37.5% score on competition mathematics through a Mixture-of-Experts (MoE) architecture. It details the mechanics of MoE routing and offers guidance on selecting the appropriate model variant for different hardware, from low-power devices like a Raspberry Pi to high-end research workstations.

read1 min views19 publishedMay 23, 2026

Gemma 4: From Raspberry Pi to Research Workstation — One Architecture, No Quality Compromise

Gemma 4 Challenge: Write about Gemma 4 Submission

          Prakhar Shukla
        

          
            Prakhar Shukla

Prakhar Shukla

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May 17

      Gemma 4: From Raspberry Pi to Research Workstation — One Architecture, No Quality Compromise

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