65 lines
1.9 KiB
ReStructuredText
65 lines
1.9 KiB
ReStructuredText
Welcome to SGLang's tutorials!
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====================================
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.. figure:: ./_static/image/logo.png
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:width: 50%
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:align: center
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:alt: SGLang
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:class: no-scaled-link
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.. raw:: html
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<p style="text-align:center">
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<strong>SGLang is yet another fast serving framework for large language models and vision language models.
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</strong>
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</p>
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<p style="text-align:center">
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<script async defer src="https://buttons.github.io/buttons.js"></script>
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<a class="github-button" href="https://github.com/sgl-project/sglang" data-show-count="true" data-size="large" aria-label="Star">Star</a>
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<a class="github-button" href="https://github.com/sgl-project/sglang/subscription" data-icon="octicon-eye" data-size="large" aria-label="Watch">Watch</a>
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<a class="github-button" href="https://github.com/sgl-project/sglang/fork" data-icon="octicon-repo-forked" data-size="large" aria-label="Fork">Fork</a>
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</p>
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SGLang has the following core features:
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* **Fast Backend Runtime**: Efficient serving with RadixAttention for prefix caching, jump-forward constrained decoding, continuous batching, token attention (paged attention), tensor parallelism, flashinfer kernels, and quantization (AWQ/FP8/GPTQ/Marlin).
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* **Flexible Frontend Language**: Enables easy programming of LLM applications with chained generation calls, advanced prompting, control flow, multiple modalities, parallelism, and external interactions.
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Documentation
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-------------
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.. _hyperparameter_tuning:
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.. toctree::
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:maxdepth: 1
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:caption: Hyperparameter Tuning
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hyperparameter_tuning.md
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.. _custom_chat_template:
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.. toctree::
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:maxdepth: 1
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:caption: Custom Chat Template
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custom_chat_template.md
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.. _model_support:
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.. toctree::
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:maxdepth: 1
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:caption: Model Support
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model_support.md
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.. _sampling_params:
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.. toctree::
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:maxdepth: 1
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:caption: Sampling Params
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sampling_params.md
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Search Bar
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==================
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* :ref:`search`
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