LiteAvatar is an audio-driven real-time 2D avatar generation model primarily designed for real-time chat scenarios. Through efficient speech recognition and viseme parameter prediction technology combined with a lightweight 2D face generation model, it achieves 30fps real-time inference using only CPU. Key advantages include efficient audio feature extraction, a lightweight model design, and mobile device-friendly support. This technology is suitable for real-time interactive virtual avatar generation scenarios such as online meetings and virtual live streaming. It was developed based on the need for real-time interaction and low hardware requirements. Currently, it is open-source and free, positioned as an efficient, low-resource-consuming real-time avatar generation solution.