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.. 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 <api/swift.hub>
   Trainer <api/swift.trainers>
   Tuner <api/swift.tuners>


Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`