2 entries with this tag
June 5: One new research article — Gemma 4 12B, the encoder-free multimodal laptop model that changes the game. Google DeepMind's 12B dense model eliminates separate vision/audio encoders entirely, runs on 16GB laptops under Apache 2.0, and delivers 78.8% GPQA Diamond. The efficiency revolution now has a multimodal face.
Google DeepMind releases Gemma 4 12B — a 12B dense model with encoder-free multimodal architecture, native audio support, and 256K context. Runs on 16GB laptops under Apache 2.0. Benchmarks approach the 26B MoE sibling at less than half the memory. The most practical multimodal model for local deployment yet.