Every few months someone announces a model you can “run locally” and every few months the fine print tells the same story. You need 80GB of VRAM. Or a server.

Gemma 4 is different. Not because Google said so. Because of 3.8 billion active parameters inside a 26 billion parameter model. The short version is that for the first time, running a genuinely capable AI agent on a consumer GPU is not a compromise.
firethering.com/gemma-4-local-…

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Gemma 4 Makes Local AI Agents Actually Practical - Firethering

Gemma 4 is a family of four models. Two dense models built for phones and laptops, E2B and E4B. One MoE model at 26B A4B for consumer GPUs. One dense 31B for workstations and servers. All four are multimodal.

^{Mohit Geryani (Firethering)}