Google’s Gemma 4 12B runs on any laptop with 16GB RAM
▼ Summary
– Google released the Gemma 4 12B model to fill a gap in its Gemma 4 lineup between mobile-optimized and high-end models.
– The new model can run locally on many consumer laptops, requiring only 16GB of system RAM or VRAM.
– Google claims the 12B model has nearly the same capabilities as the 26B Mixture of Experts model, despite using about half the memory.
– The Gemma 4 family, launched in April, includes mobile versions (E2B and E4B) and large models (26B MoE and 31B Dense).
– The generative AI boom has increased memory costs, making Google’s less RAM-hungry local AI models more relevant.
The relentless demand for generative AI has sent memory prices soaring, and Google has been a major force driving that trend. So it’s only fitting that the company now offers a more accessible alternative for local AI. Google has unveiled a new addition to the Gemma 4 family, filling a noticeable gap in the lineup introduced earlier this year. This model is efficient enough to run on a fairly standard consumer laptop.
Back in April, Google launched four models under the Gemma 4 banner, marking a significant shift to the more permissive Apache 2.0 license. The initial release featured two mobile-focused options (E2B and E4B) and two heavier-duty variants (26B Mixture of Experts and 31B Dense). This left a substantial middle ground unaddressed, a space the new model now occupies.
Enter Gemma 4 12B, a model that offers significantly more power than the mobile versions without demanding a pricey AI accelerator. Google emphasizes that this 12-billion-parameter model is distinct because it can operate on many consumer laptops while maintaining strong performance. The key requirement is a computer with 16GB of system RAM or VRAM, which is roughly half the total memory needed by the Gemma 4 26B MoE. According to Google, the new model nearly matches its larger sibling’s capabilities, at least based on benchmark results.
(Source: Ars Technica)
