Recently, Shanghai Artificial Intelligence Laboratory (Shanghai AI Laboratory) released XTuner, an open source toolbox for large model training, once again lowering the threshold for large model training. It is reported that XTuner focuses on the fine-tuning process, providing a lightweight fine-tuning framework for various open source large models, once again consolidating the practical tool attributes of the full-chain open source system. XTuner supports the adaptation of multiple levels of hardware. Developers only need to use a minimum of 8 GB of consumer-grade video memory to train an "exclusive large model" suitable for specific demand scenarios.