Introducing Gemma 4 12B: a unified, encoder-free multimodal model
Google DeepMind has released Gemma 4 12B, a new multimodal model designed for local execution on laptops with 16GB of VRAM. This model features a novel unified architecture that integrates audio and vision inputs directly into the LLM backbone without separate encoders, reducing latency and memory usage. Gemma 4 12B aims to bring advanced agentic multimodal capabilities to everyday hardware, with performance nearing its larger 26B MoE counterpart and broad developer support through open licensing and integration with popular tools. AI
IMPACT This release brings advanced multimodal capabilities to consumer hardware, potentially accelerating local AI agent development and use.