#1Gemma 4 12B: A Unified, Encoder-Free Multimodal Model
Google's Gemma 4 is a 12-billion-parameter multimodal model built to run on consumer hardware — think laptop-class inference, no cloud required. It ditches the separate encoder component common to most vision-language architectures, simplifying the design and cutting inference overhead. Published June 3rd, it represents Google's continued push to make capable multimodal AI accessible outside the data center.





