docs: update Python prerequisite to 3.10 (#23801)
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@@ -21,7 +21,7 @@ If `--base-url` is provided, requests are sent to it. Otherwise, `--host` and `-
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### Prerequisites
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### Prerequisites
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- Python 3.8+
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- Python 3.10+
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- Dependencies typically used by this script: `aiohttp`, `numpy`, `requests`, `tqdm`, `transformers`, and for some datasets `datasets`, `pillow`, `pybase64`. Install as needed.
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- Dependencies typically used by this script: `aiohttp`, `numpy`, `requests`, `tqdm`, `transformers`, and for some datasets `datasets`, `pillow`, `pybase64`. Install as needed.
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- An inference server running and reachable via the endpoints above
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- An inference server running and reachable via the endpoints above
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- If your server requires authentication, set environment variable `OPENAI_API_KEY` (used as `Authorization: Bearer <key>`)
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- If your server requires authentication, set environment variable `OPENAI_API_KEY` (used as `Authorization: Bearer <key>`)
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@@ -24,7 +24,7 @@ If `--base-url` is provided, requests are sent to it. Otherwise, `--host` and `-
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### Prerequisites
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### Prerequisites
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- Python 3.8+
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- Python 3.10+
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- Dependencies typically used by this script: `aiohttp`, `numpy`, `requests`, `tqdm`, `transformers`, and for some datasets `datasets`, `pillow`, `pybase64`. Install as needed.
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- Dependencies typically used by this script: `aiohttp`, `numpy`, `requests`, `tqdm`, `transformers`, and for some datasets `datasets`, `pillow`, `pybase64`. Install as needed.
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- An inference server running and reachable via the endpoints above
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- An inference server running and reachable via the endpoints above
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- If your server requires authentication, set environment variable `OPENAI_API_KEY` (used as `Authorization: Bearer <key>`)
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- If your server requires authentication, set environment variable `OPENAI_API_KEY` (used as `Authorization: Bearer <key>`)
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@@ -11,6 +11,10 @@ You can install SGLang using one of the methods below.
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This page primarily applies to common NVIDIA GPU platforms.
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This page primarily applies to common NVIDIA GPU platforms.
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For other or newer platforms, please refer to the dedicated pages for [AMD GPUs](../hardware-platforms/amd_gpu), [Intel Xeon CPUs](../hardware-platforms/cpu_server), [Google TPU](../hardware-platforms/tpu), [NVIDIA DGX Spark](https://lmsys.org/blog/2025-11-03-gpt-oss-on-nvidia-dgx-spark/), [NVIDIA Jetson](../hardware-platforms/nvidia_jetson), [Ascend NPUs](../hardware-platforms/ascend-npus/ascend_npu), and [Intel XPU](../hardware-platforms/xpu).
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For other or newer platforms, please refer to the dedicated pages for [AMD GPUs](../hardware-platforms/amd_gpu), [Intel Xeon CPUs](../hardware-platforms/cpu_server), [Google TPU](../hardware-platforms/tpu), [NVIDIA DGX Spark](https://lmsys.org/blog/2025-11-03-gpt-oss-on-nvidia-dgx-spark/), [NVIDIA Jetson](../hardware-platforms/nvidia_jetson), [Ascend NPUs](../hardware-platforms/ascend-npus/ascend_npu), and [Intel XPU](../hardware-platforms/xpu).
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<Note>
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Prerequisites: Python 3.10 or higher.
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</Note>
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## Method 1: With pip or uv
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## Method 1: With pip or uv
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It is recommended to use uv for faster installation:
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It is recommended to use uv for faster installation:
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@@ -17,7 +17,7 @@ By the end, you'll have a working SGLang server responding to your prompts.
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## Prerequisites
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## Prerequisites
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- **Python**: 3.9 or higher
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- **Python**: 3.10 or higher
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- **GPU**: NVIDIA GPU with CUDA support (sm75 and above, e.g., T4, A10, A100, L4, L40S, H100)
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- **GPU**: NVIDIA GPU with CUDA support (sm75 and above, e.g., T4, A10, A100, L4, L40S, H100)
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- **OS**: Linux (recommended)
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- **OS**: Linux (recommended)
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