Gemma 4 (26B, MoE, Q4)

Google's Gemma 4 mixture-of-experts model — 25.2B total parameters with 3.8B active per token. Multimodal with long-context agentic workflows. The full 26B has to fit in memory but only ~4B parameters fire per token, so on capable hardware it runs noticeably faster than the dense 31B at a similar memory cost — the recommended high-end on-device default.

Gezel downloads this model the first time a gezel needs it, checks the file against its published hash, and applies tuned settings for it.

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