Hugging Face GitHub Launch Blog Documentation Technical Report License : Apache 2.0 Authors : Google DeepMind Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open weights models in both pre trained and instruction tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. Featuring both Dense and Mixture of Experts (MoE) architectures, Gemma 4 is well suited for tasks like text generation, coding, and reasoning. The models are available in five distinct sizes: E2B , E4B , 12B , 26B A4B , and 31B . Their diverse sizes make them deployable in environments ranging from high end phones to laptops and servers, democratizing access to state of the art AI. Gemma 4 introduces key capability and architectural advancements : Reasoning – All models in the family are designed as highly capable reasoners, with configurable thinking modes. Extended Multimodalities – Processes Text, Image with variable aspect ratio and resolution support (all models), Video, and Au…
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