This is a version of google/gemma-3-270m-it with half the parameters. This is achieved through a low-rank decomposition of the embeddings: replacing large embedding matrices with smaller low-rank ones. [Gemma 3 Technical Report][g3-tech-report] [Responsible Generative AI Toolkit][rai-toolkit] [Gemma on Kaggle][kaggle-gemma] [Gemma on Vertex Model Garden][vertex-mg-gemma3] Summary description and brief definition of inputs and outputs. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: yaya-sy
Теги: gemma3_text, gemma3, gemma, google, conversational, custom_code, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 10
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
