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Google Gemma 4 models detailed: VRAM needs from phones to high-end GPUs

Google has released Gemma 4, offering four model variants with varying VRAM requirements. The smallest model is suitable for devices with minimal memory, while the largest, a 31B Dense model, requires at least 22GB of VRAM and is best suited for GPUs like the RTX 5090. The 26B-A4B MoE variant is highlighted as a balance, fitting on 16GB cards with careful context management, and is recommended for users with 16GB or 24GB GPUs. AI

IMPACT Guides users on selecting appropriate hardware for running Google's Gemma 4 models locally, optimizing performance based on VRAM availability.

RANK_REASON Article provides detailed hardware requirements for a recently released model, focusing on VRAM needs for different variants and quantization levels.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google Gemma 4 models detailed: VRAM needs from phones to high-end GPUs

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  1. dev.to — LLM tag TIER_1 English(EN) · Thurmon Demich ·

    How Much VRAM for Gemma 4? Every Variant Explained

    <blockquote> <p><em>Cross-posted from <a href="https://bestgpuforllm.com/articles/how-much-vram-for-gemma-4/" rel="noopener noreferrer">Best GPU for LLM</a> — visit the original for our VRAM calculator, GPU comparison table, and current Amazon pricing.</em></p> </blockquote> <p>G…