Gemma 3n E4B

Gemma 3n is a multimodal model designed for local hardware deployment, supporting image, text, audio, and video inputs. It includes a language decoder, audio encoder, and visual encoder and is available in two sizes: E2B and E4B. The model is optimized for efficient memory usage, allowing it to run on devices with limited GPU memory. Gemma is a family of lightweight, state-of-the-art open models from Google, built on the same research and technology used to create Gemini models. Gemma models are well-suited for various content understanding tasks, including question answering, summarization, and reasoning. Their relatively small size enables deployment in resource-constrained environments such as laptops, desktops, or private cloud infrastructure, democratizing access to state-of-the-art AI models and fostering innovation for everyone. Gemma 3n models are designed for efficient execution on resource-constrained devices. They can process multimodal inputs, working with text, image, video, and audio inputs, and generate text outputs, with open weights for instruction-tuned variants. These models were trained on data in over 140 spoken languages.