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SGLang Documentation
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====================
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SGLang is a fast serving framework for large language models and vision language models.
It makes your interaction with models faster and more controllable by co-designing the backend runtime and frontend language.
The core features include:
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- **Fast Backend Runtime**: Provides efficient serving with RadixAttention for prefix caching, jump-forward constrained decoding, overhead-free CPU scheduler, continuous batching, token attention (paged attention), tensor parallelism, FlashInfer kernels, chunked prefill, and quantization (FP8/INT4/AWQ/GPTQ).
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- **Flexible Frontend Language**: Offers an intuitive interface for programming LLM applications, including chained generation calls, advanced prompting, control flow, multi-modal inputs, parallelism, and external interactions.
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- **Extensive Model Support**: Supports a wide range of generative models (Llama, Gemma, Mistral, QWen, DeepSeek, LLaVA, etc.), embedding models (e5-mistral, gte) and reward models (Skywork), with easy extensibility for integrating new models.
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- **Active Community**: SGLang is open-source and backed by an active community with industry adoption.
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.. toctree::
   :maxdepth: 1
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   :caption: Installation
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   start/install.md
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.. toctree::
   :maxdepth: 1
   :caption: Backend Tutorial
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   backend/send_request.ipynb
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   backend/openai_api_completions.ipynb
   backend/openai_api_vision.ipynb
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   backend/openai_api_embeddings.ipynb
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   backend/native_api.ipynb
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   backend/offline_engine_api.ipynb
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   backend/server_arguments.md
   backend/sampling_params.md
   backend/hyperparameter_tuning.md

.. toctree::
   :maxdepth: 1
   :caption: Advanced Features

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   backend/speculative_decoding.ipynb
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   backend/structured_outputs.ipynb
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   backend/function_calling.ipynb
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   backend/separate_reasoning.ipynb
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   backend/custom_chat_template.md
   backend/quantization.md
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.. toctree::
   :maxdepth: 1
   :caption: Frontend Tutorial
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   frontend/frontend.ipynb
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   frontend/choices_methods.md
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.. toctree::
   :maxdepth: 1
   :caption: SGLang Router

   router/router.md

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.. toctree::
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      :maxdepth: 1
      :caption: References
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      references/deepseek
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      references/general
      references/hardware
      references/advanced_deploy
      references/performance_tuning