{"slug": "gemma-4-deep-dive-why-a-1-5-gb-model-scores-37-5-on-competition-mathematics-how", "title": "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.", "summary": "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.", "body_md": "Gemma 4: From Raspberry Pi to Research Workstation — One Architecture, No Quality Compromise\n\nGemma 4 Challenge: Write about Gemma 4 Submission\n\n              Prakhar Shukla\n            \n\n              \n                Prakhar Shukla\n                \n              \n              \n\nPrakhar Shukla\n\n                    \n                      Follow\n                    \n                  \n\nMay 17\n\n          Gemma 4: From Raspberry Pi to Research Workstation — One Architecture, No Quality Compromise\n        \n\n#\ndevchallenge\n\n#\ngemmachallenge\n\n#\ngemma\n\n9\n reactions\n\n              Comments\n\n              \nAdd Comment\n\n            13 min read", "url": "https://wpnews.pro/news/gemma-4-deep-dive-why-a-1-5-gb-model-scores-37-5-on-competition-mathematics-how", "canonical_source": "https://dev.to/coldstartdev/gemma-4-deep-dive-why-a-15-gb-model-scores-375-on-competition-mathematics-how-the-moe-routing-3fjn", "published_at": "2026-05-23 03:49:50+00:00", "updated_at": "2026-05-23 04:34:13.515957+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "open-source", "developer-tools"], "entities": ["Gemma 4", "Prakhar Shukla", "Raspberry Pi"], "alternates": {"html": "https://wpnews.pro/news/gemma-4-deep-dive-why-a-1-5-gb-model-scores-37-5-on-competition-mathematics-how", "markdown": "https://wpnews.pro/news/gemma-4-deep-dive-why-a-1-5-gb-model-scores-37-5-on-competition-mathematics-how.md", "text": "https://wpnews.pro/news/gemma-4-deep-dive-why-a-1-5-gb-model-scores-37-5-on-competition-mathematics-how.txt", "jsonld": "https://wpnews.pro/news/gemma-4-deep-dive-why-a-1-5-gb-model-scores-37-5-on-competition-mathematics-how.jsonld"}}