XTuner is a next-generation training engine developed by InternLM for ultra-large MoE models. It supports pre-training and fine-tuning of LLMs including Qwen3-MOE, InternVL, and other multimodal architectures. The framework provides tools for distributed training, reinforcement learning integration, and supports popular model families through HuggingFace and ModelScope model hubs.