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docs/source/LLM/LmDeploy推理加速与部署.md

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cd swift
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pip install -e '.[llm]'
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# lmdeploy与cuda版本有对应关系,请按照`https://github.com/InternLM/lmdeploy#installation`进行安装
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pip install lmdeploy
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```
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docs/source/Multi-Modal/LmDeploy推理加速文档.md

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cd swift
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pip install -e '.[llm]'
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# lmdeploy与cuda版本有对应关系,请按照`https://github.com/InternLM/lmdeploy#installation`进行安装
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pip install lmdeploy
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```
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docs/source/Multi-Modal/index.md

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1. [Qwen-VL最佳实践](qwen-vl最佳实践.md)
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2. [Qwen-Audio最佳实践](qwen-audio最佳实践.md)
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3. [Llava最佳实践](llava最佳实践.md), [LLava Video最佳实践](llava-video最佳实践.md)
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4. [Deepseek-VL最佳实践](deepseek-vl最佳实践.md)
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5. [Internlm2-Xcomposers最佳实践](internlm-xcomposer2最佳实践.md)
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6. [Phi3-Vision最佳实践](phi3-vision最佳实践.md)
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4. [InternVL系列最佳实践](internvl最佳实践.md)
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5. [Deepseek-VL最佳实践](deepseek-vl最佳实践.md)
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6. [Internlm2-Xcomposers最佳实践](internlm-xcomposer2最佳实践.md)
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7. [Phi3-Vision最佳实践](phi3-vision最佳实践.md)
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一轮对话只能包含一张图片(可能可以不含图片):
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整个对话围绕一张图片(可能可以不含图片):
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1. [CogVLM最佳实践](cogvlm最佳实践.md), [CogVLM2最佳实践](cogvlm2最佳实践.md), [glm4v最佳实践](glm4v最佳实践.md), [CogVLM2-Video最佳实践](cogvlm2-video最佳实践.md)
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2. [MiniCPM-V最佳实践](minicpm-v最佳实践.md), [MiniCPM-V-2最佳实践](minicpm-v-2最佳实践.md), [MiniCPM-V-2.5最佳实践](minicpm-v-2.5最佳实践.md)
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3. [InternVL-Chat-V1.5最佳实践](internvl最佳实践.md)

docs/source/index.rst

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:caption: Multi-Modal LLM Training and Inference
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Multi-Modal/index.md
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Multi-Modal/人类偏好对齐训练文档.md
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Multi-Modal/LmDeploy推理加速文档.md
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Multi-Modal/vLLM推理加速文档.md
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Multi-Modal/MLLM部署文档.md
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Multi-Modal/qwen-vl最佳实践.md
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Multi-Modal/qwen-audio最佳实践.md
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Multi-Modal/llava最佳实践.md
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Multi-Modal/llava-video最佳实践.md
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Multi-Modal/internvl最佳实践.md
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Multi-Modal/deepseek-vl最佳实践.md
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Multi-Modal/internlm-xcomposer2最佳实践.md
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Multi-Modal/phi3-vision最佳实践.md
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Multi-Modal/llava最佳实践.md
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Multi-Modal/llava-video最佳实践.md
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Multi-Modal/yi-vl最佳实践.md
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Multi-Modal/mplug-owl2最佳实践.md
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Multi-Modal/florence最佳实践.md
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Multi-Modal/minicpm-v最佳实践.md
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Multi-Modal/minicpm-v-2最佳实践.md
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Multi-Modal/minicpm-v-2.5最佳实践.md
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Multi-Modal/internvl最佳实践.md
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Multi-Modal/人类偏好对齐训练文档.md
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Multi-Modal/LmDeploy推理加速文档.md
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Multi-Modal/vLLM推理加速文档.md
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Multi-Modal/MLLM部署文档.md
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.. toctree::
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:maxdepth: 2

docs/source_en/LLM/LmDeploy-inference-acceleration-and-deployment.md

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cd swift
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# There is a correspondence between lmdeploy and CUDA versions. Please follow the installation instructions at `https://github.com/InternLM/lmdeploy#installation`.
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pip install lmdeploy
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```
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docs/source_en/Multi-Modal/LmDeploy-inference-acceleration.md

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# There is a correspondence between lmdeploy and CUDA versions. Please follow the installation instructions at `https://github.com/InternLM/lmdeploy#installation`.
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pip install lmdeploy
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```
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docs/source_en/Multi-Modal/index.md

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1. [Qwen-VL Best Practice](qwen-vl-best-practice.md)
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2. [Qwen-Audio Best Practice](qwen-audio-best-practice.md)
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3. [Llava Best Practice](llava-best-practice.md), [LLava Video Best Practice](llava-video-best-practice.md)
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4. [Deepseek-VL Best Practice](deepseek-vl-best-practice.md)
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5. [Internlm2-Xcomposers Best Practice](internlm-xcomposer2-best-practice.md)
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6. [Phi3-Vision Best Practice](phi3-vision-best-practice.md)
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4. [InternVL Series Best Practice](internvl-best-practice.md)
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5. [Deepseek-VL Best Practice](deepseek-vl-best-practice.md)
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6. [Internlm2-Xcomposers Best Practice](internlm-xcomposer2-best-practice.md)
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7. [Phi3-Vision Best Practice](phi3-vision-best-practice.md)
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A single round of dialogue can only contain one image:
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The entire conversation revolves around one image.
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1. [CogVLM Best Practice](cogvlm-best-practice.md), [CogVLM2 Best Practice](cogvlm2-best-practice.md), [GLM4V Best Practice](glm4v-best-practice.md), [CogVLM2-Video Best Practice](cogvlm2-video-best-practice.md)
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2. [MiniCPM-V Best Practice](minicpm-v-best-practice.md)
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3. [InternVL-Chat-V1.5 Best Practice](internvl-best-practice.md)

docs/source_en/index.rst

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:caption: Multi-Modal LLM Training and Inference
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Multi-Modal/index.md
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Multi-Modal/human-preference-alignment-training-documentation.md
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Multi-Modal/LmDeploy-inference-acceleration.md
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Multi-Modal/vllm-inference-acceleration.md
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Multi-Modal/mutlimodal-deployment.md
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Multi-Modal/qwen-vl-best-practice.md
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Multi-Modal/qwen-audio-best-practice.md
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Multi-Modal/llava-best-practice.md
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Multi-Modal/llava-video-best-practice.md
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Multi-Modal/internvl-best-practice.md
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Multi-Modal/deepseek-vl-best-practice.md
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Multi-Modal/internlm-xcomposer2-best-practice.md
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Multi-Modal/phi3-vision-best-practice.md
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Multi-Modal/llava-best-practice.md
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Multi-Modal/llava-video-best-practice.md
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Multi-Modal/yi-vl-best-practice.md
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Multi-Modal/florence-best-pratice.md
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Multi-Modal/cogvlm-best-practice.md
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Multi-Modal/cogvlm2-best-practice.md
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Multi-Modal/glm4v-best-practice.md
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Multi-Modal/cogvlm2-video-best-practice.md
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Multi-Modal/minicpm-v-best-practice.md
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Multi-Modal/internvl-best-practice.md
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Multi-Modal/human-preference-alignment-training-documentation.md
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Multi-Modal/LmDeploy-inference-acceleration.md
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Multi-Modal/vllm-inference-acceleration.md
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Multi-Modal/mutlimodal-deployment.md
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.. toctree::
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:maxdepth: 2

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