co-authored by
sglang-bot
parent
2a5773440e
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@@ -6,10 +6,10 @@ It is designed to deliver low-latency and high-throughput inference across a wid
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Its core features include:
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- **Fast Backend Runtime**: Provides efficient serving with RadixAttention for prefix caching, a zero-overhead CPU scheduler, prefill-decode disaggregation, speculative decoding, continuous batching, paged attention, tensor/pipeline/expert/data parallelism, structured outputs, chunked prefill, quantization (FP4/FP8/INT4/AWQ/GPTQ), and multi-LoRA batching.
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- **Extensive Model Support**: Supports a wide range of generative models (Llama, Qwen, DeepSeek, Kimi, GLM, GPT, Gemma, Mistral, etc.), embedding models (e5-mistral, gte, mcdse), and reward models (Skywork), with easy extensibility for integrating new models. Compatible with most Hugging Face models and OpenAI APIs.
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- **Extensive Model Support**: Supports a wide range of generative models (Llama, Qwen, DeepSeek, Kimi, GLM, GPT, Gemma, Mistral, etc.), embedding models (e5-mistral, gte, mcdse), reward models (Skywork), and diffusion models (WAN, Qwen-Image), with easy extensibility for integrating new models. Compatible with most Hugging Face models and OpenAI APIs.
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- **Extensive Hardware Support**: Runs on NVIDIA GPUs (GB200/B300/H100/A100/Spark), AMD GPUs (MI355/MI300), Intel Xeon CPUs, Google TPUs, Ascend NPUs, and more.
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- **Flexible Frontend Language**: Offers an intuitive interface for programming LLM applications, supporting chained generation calls, advanced prompting, control flow, multi-modal inputs, parallelism, and external interactions.
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- **Active Community**: SGLang is open-source and supported by a vibrant community with widespread industry adoption, powering over 300,000 GPUs worldwide.
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- **Active Community**: SGLang is open-source and supported by a vibrant community with widespread industry adoption, powering over 400,000 GPUs worldwide.
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.. toctree::
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:maxdepth: 1
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@@ -26,12 +26,7 @@ Its core features include:
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basic_usage/offline_engine_api.ipynb
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basic_usage/native_api.ipynb
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basic_usage/sampling_params.md
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basic_usage/deepseek.md
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basic_usage/deepseek_v32.md
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basic_usage/gpt_oss.md
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basic_usage/llama4.md
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basic_usage/qwen3.md
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basic_usage/qwen3_vl.md
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basic_usage/popular_model_usage.rst
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.. toctree::
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:maxdepth: 1
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@@ -74,7 +69,6 @@ Its core features include:
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:caption: Hardware Platforms
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platforms/amd_gpu.md
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platforms/blackwell_gpu.md
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platforms/cpu_server.md
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platforms/tpu.md
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platforms/nvidia_jetson.md
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