Google Gemma 4 12B

Google dropped Gemma 4 12B—and it's making every other multimodal model look like a calculator. This thing runs entirely locally on your machine with an encoder-free architecture, meaning you get full multimodal AI without sending your data to some cloud server where you have no idea what's happening to it. Twelve billion parameters. On your laptop. That's the move.

Rohan Chaubey, Tina Chhabra, Gaurav Aroraa, Marco Bertone and the Google Developer team built this—yeah, Sundar Pichai is credited too—because they decided it was time AI actually stayed on your device. Most "local" models sacrifice performance for privacy. Gemma 4 12B said no compromise. Vision, text, audio, everything Multimodal stays right there on your GPU. No API calls, no latency, no external dependencies. Just raw model running on your hardware.

Logan Kilpatrick and Josh Woodward have been pushing developer tooling at Google for years and this is their answer to every "but can it run locally?" question. Sam Morris at Nottelabs is handling GTM because this isn't just a research release—companies actually need to deploy this thing. Encoder-free means faster inference, lower memory usage, and it actually works on consumer hardware. Not some server-grade cluster you need a procurement team to approve.

This is Google saying "we're not just building cloud APIs anymore—we're putting the full model in your hands." If you're building anything with AI and care about data privacy, latency, or running costs, this is your new foundation.