Google's Gemma 4 12B Brings On-Device AI Within 16GB RAM Reach
Google unveils Gemma 4 12B, a 12-billion-parameter model designed to run on consumer laptops with 16GB of RAM or VRAM. It achieves near-26B performance thanks to Multi-Token Prediction (MTP) and a streamlined, memory-efficient multimodal pipeline that handles text, audio, and images without a bulky encoder. The model is intended for on-device use and can be downloaded from Kaggle or Hugging Face, with integration via tools like LM Studio and Google AI Edge Gallery.