Adding Documentation for installation (#1300)
Co-authored-by: zhaochen20 <zhaochenyang20@gmail.com>
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Welcome to SGLang's tutorials!
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Welcome to SGLang!
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====================================
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.. figure:: ./_static/image/logo.png
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@@ -27,9 +27,22 @@ SGLang has the following core features:
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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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* **Extensive Model Support**: SGLang supports a wide range of generative models including the Llama series (up to Llama 3.1), Mistral, Gemma, Qwen, DeepSeek, LLaVA, Yi-VL, StableLM, Command-R, DBRX, Grok, ChatGLM, InternLM 2 and Exaone 3. It also supports embedding models such as e5-mistral and gte-Qwen2. Easily extensible to support new models.
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* **Open Source Community**: SGLang is an open source project with a vibrant community of contributors. We welcome contributions from anyone interested in advancing the state of the art in LLM and VLM serving.
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Documentation
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-------------
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.. In this documentation, we'll dive into these following areas to help you get the most out of SGLang.
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.. _installation:
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.. toctree::
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:maxdepth: 1
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:caption: Installation
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install.md
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.. _hyperparameter_tuning:
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.. toctree::
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:maxdepth: 1
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@@ -58,7 +71,10 @@ Documentation
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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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.. _benchmark_and_profilling:
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.. toctree::
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:maxdepth: 1
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:caption: Benchmark and Profilling
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benchmark_and_profiling.md
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