Gemma 4 12B

Gemma 4 12B is a unified, encoder-free multimodal model designed to deliver high-performance AI capabilities directly to laptops. It integrates vision and audio inputs seamlessly into its language model backbone, enabling advanced reasoning and agentic workflows without the need for separate encoders. This model is optimized for local deployment, requiring only 16GB of VRAM or unified memory, making it accessible for developers seeking powerful AI tools on standard hardware.

Gemma 4 12B is a unified, encoder-free multimodal model designed to deliver high-performance AI capabilities directly to laptops. It integrates vision and audio inputs seamlessly into its language model backbone, enabling advanced reasoning and agentic workflows without the need for separate encoders. This model is optimized for local deployment, requiring only 16GB of VRAM or unified memory, making it accessible for developers seeking powerful AI tools on standard hardware.

• 01Unified, encoder-free architecture integrating vision and audio inputs directly into the language model backbone
• 02Advanced reasoning capabilities with performance nearing larger models, enabling multi-step reasoning and agentic workflows
• 03Optimized for local deployment with a memory footprint suitable for laptops with 16GB of VRAM or unified memory
• 04Released under the Apache 2.0 license, ensuring openness and accessibility for developers
• 05Compatible with a wide range of development tools and platforms, including Hugging Face Transformers, llama.cpp, MLX, SGLang, and vLLM
• 06Equipped with Multi-Token Prediction (MTP) drafters to reduce latency and improve responsiveness