RecurrentGemma is a series of open language models developed by Google, featuring an innovative recurrent architecture design. It demonstrates superior performance in text generation tasks, including question answering, summarization, and reasoning. Compared to the Gemma model, RecurrentGemma requires less memory and achieves faster inference speed in generating long sequences. This model offers pre-trained and fine-tuned versions for instructional purposes, and can be widely applied in scenarios such as content creation and AI-enabled dialogue systems.