Google introduces the efficient Gemma 4 12B AI model, designed to operate seamlessly on laptops with just 16GB of RAM, catering to average consumer hardware.
It supports Multi-Token Prediction (MTP) drafting
Jun 04, 2026
09:34 am
What's the storyGoogle has unveiled a new addition to its Gemma 4 family of AI models, called the Gemma 4 12B.
The latest offering is designed to run on consumer laptops with as little as 16GB of system RAM. This is a significant improvement over previous models that required much more memory.
Google's new Gemma 4 open AI model is sized for your laptop
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
Google Deepmind's Gemma 4 12B squeezes multimodal AI onto a laptop with just 16 GB of RAM
Google’s Gemma 4 12B Shows AI Race Moving to Edge Devices
Google's new open source Gemma 4 12B analyzes audio, video — and runs entirely locally on a typical 16GB enterprise laptop
Google brings local AI agents to laptops with Gemma 4 12B
Introducing Gemma 4 12B: a unified, encoder-free multimodal model
Gemma 4 12B, il modello Google pensato per PC con 16 GB di RAM
Gemma 4 12B Is Google's Biggest Bet on Local Multimodal AI Yet
Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop
Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
Google Deepmind's Gemma 4 12B is an open-source model that processes text, images, and audio natively and runs on laptops with…
The new open source model is encoder-free and can run on a 16GB RAM computer.
Google has released Gemma 3 270M, a new addition to its Gemma 3 family designed for resource-efficient use in narrowly defined…
For enterprise leaders aiming to decentralize their AI workloads, Gemma 4 12B offers a rare combination of edge-friendly…
