XTuner

A high-efficiency and flexible toolkit for large-scale model fine-tuning.

CommonProductProgrammingMachine LearningDeep Learning
XTuner is a high-performance, flexible, and feature-rich fine-tuning toolkit designed for large models such as InternLM, Llama, Baichuan, Qwen, and ChatGLM. It supports the pre-training and fine-tuning of LLM and VLM on almost all GPUs, and can automatically schedule high-performance operations like FlashAttention and Triton kernels to enhance training throughput. XTuner is compatible with DeepSpeed and supports various ZeRO optimization techniques. It also supports various LLMs and VLMs, such as LLaVA, and has been designed with robust data pipelines to accommodate any format of datasets. Moreover, XTuner supports multiple training algorithms, including QLoRA, LoRA, and full-parameter fine-tuning, allowing users to choose the solution that best fits their needs.
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