.. swift documentation file, You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Swift DOCUMENTATION ======================== .. toctree:: :maxdepth: 2 :caption: Get Started GetStarted/SWIFT安装.md GetStarted/界面训练推理.md GetStarted/使用tuners.md GetStarted/ResTuning.md GetStarted/SCEdit.md GetStarted/在SWIFT内使用PEFT.md .. toctree:: :maxdepth: 2 :caption: LLM Training and Inference LLM/LLM推理文档.md LLM/LLM微调文档.md LLM/DPO训练文档.md LLM/LLM评测文档.md LLM/LLM量化文档.md LLM/VLLM推理加速与部署.md LLM/LLM实验文档.md LLM/命令行参数.md LLM/支持的模型和数据集.md LLM/自定义与拓展.md LLM/自我认知微调最佳实践.md LLM/Agent微调最佳实践.md LLM/Agent部署最佳实践.md LLM/Qwen1.5全流程最佳实践.md LLM/NPU推理与微调最佳实践.md LLM/Grok训练和推理.md LLM/ORPO算法最佳实践.md LLM/SimPO算法最佳实践.md LLM/HuggingFace生态兼容.md LLM/Benchmark.md .. toctree:: :maxdepth: 2 :caption: Multi-Modal LLM Training and Inference Multi-Modal/qwen-vl最佳实践.md Multi-Modal/qwen-audio最佳实践.md Multi-Modal/deepseek-vl最佳实践.md Multi-Modal/internlm-xcomposer2最佳实践.md Multi-Modal/phi3-vision最佳实践.md Multi-Modal/llava最佳实践.md Multi-Modal/yi-vl最佳实践.md Multi-Modal/mplug-owl2最佳实践.md Multi-Modal/cogvlm最佳实践.md Multi-Modal/cogvlm2最佳实践.md Multi-Modal/minicpm-v最佳实践.md Multi-Modal/minicpm-v-2最佳实践.md Multi-Modal/minicpm-v-2.5最佳实践.md Multi-Modal/internvl最佳实践.md Multi-Modal/MLLM部署文档.md .. toctree:: :maxdepth: 2 :caption: AIGC Training and Inference AIGC/AnimateDiff微调推理文档.md .. toctree:: :maxdepth: 2 :caption: API Doc Hub Trainer Tuner Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`