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#: ../../source/quick_start.md:1
msgid "Quickstart"
msgstr "快速入门"

#: ../../source/quick_start.md:3
msgid "Prerequisites"
msgstr "先决条件"

#: ../../source/quick_start.md:5
msgid "Supported Devices"
msgstr "支持的设备"

#~ msgid ""
#~ "Atlas A2 Training series (Atlas 800T "
#~ "A2, Atlas 900 A2 PoD, Atlas 200T"
#~ " A2 Box16, Atlas 300T A2)"
#~ msgstr ""
#~ "Atlas A2 训练系列（Atlas 800T A2，Atlas 900"
#~ " A2 PoD，Atlas 200T A2 Box16，Atlas "
#~ "300T A2）"

#~ msgid "Atlas 800I A2 Inference series (Atlas 800I A2)"
#~ msgstr "Atlas 800I A2 推理系列（Atlas 800I A2）"

#~ msgid "Setup environment using container"
#~ msgstr "使用容器设置环境"

#~ msgid "Ubuntu"
#~ msgstr "Ubuntu"

#~ msgid "openEuler"
#~ msgstr "openEuler"

#~ msgid ""
#~ "The default workdir is `/workspace`, "
#~ "vLLM and vLLM Kunlun code are "
#~ "placed in `/vllm-workspace` and "
#~ "installed in [development "
#~ "mode](https://setuptools.pypa.io/en/latest/userguide/development_mode.html)(`pip"
#~ " install -e`) to help developer "
#~ "immediately take place changes without "
#~ "requiring a new installation."
#~ msgstr ""
#~ "默认的工作目录是 `/workspace`，vLLM 和 vLLM Kunlun "
#~ "代码被放置在 `/vllm-"
#~ "workspace`，并以[开发模式](https://setuptools.pypa.io/en/latest/userguide/development_mode.html)（`pip"
#~ " install -e`）安装，以便开发者能够即时生效更改，而无需重新安装。"

#~ msgid "Usage"
#~ msgstr "用法"

#~ msgid "You can use Modelscope mirror to speed up download:"
#~ msgstr "你可以使用 Modelscope 镜像来加速下载："

#~ msgid "There are two ways to start vLLM on Kunlun XPU:"
#~ msgstr "在昇腾 XPU 上启动 vLLM 有两种方式："

#~ msgid "Offline Batched Inference"
#~ msgstr "离线批量推理"

#~ msgid ""
#~ "With vLLM installed, you can start "
#~ "generating texts for list of input "
#~ "prompts (i.e. offline batch inferencing)."
#~ msgstr "安装了 vLLM 后，您可以开始为一系列输入提示生成文本（即离线批量推理）。"

#~ msgid ""
#~ "Try to run below Python script "
#~ "directly or use `python3` shell to "
#~ "generate texts:"
#~ msgstr "尝试直接运行下面的 Python 脚本，或者使用 `python3` 交互式命令行来生成文本："

#~ msgid "OpenAI Completions API"
#~ msgstr "OpenAI Completions API"

#~ msgid ""
#~ "vLLM can also be deployed as a "
#~ "server that implements the OpenAI API"
#~ " protocol. Run the following command "
#~ "to start the vLLM server with the"
#~ " [Qwen/Qwen2.5-0.5B-"
#~ "Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) "
#~ "model:"
#~ msgstr ""
#~ "vLLM 也可以作为实现 OpenAI API 协议的服务器进行部署。运行以下命令，使用"
#~ " [Qwen/Qwen2.5-0.5B-"
#~ "Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) "
#~ "模型启动 vLLM 服务器："

#~ msgid "If you see log as below:"
#~ msgstr "如果你看到如下日志："

#~ msgid "Congratulations, you have successfully started the vLLM server!"
#~ msgstr "恭喜，你已经成功启动了 vLLM 服务器！"

#~ msgid "You can query the list the models:"
#~ msgstr "你可以查询模型列表："

#~ msgid "You can also query the model with input prompts:"
#~ msgstr "你也可以通过输入提示来查询模型："

#~ msgid ""
#~ "vLLM is serving as background process,"
#~ " you can use `kill -2 $VLLM_PID` "
#~ "to stop the background process "
#~ "gracefully, it's equal to `Ctrl-C` to"
#~ " stop foreground vLLM process:"
#~ msgstr ""
#~ "vLLM 正作为后台进程运行，你可以使用 `kill -2 $VLLM_PID` "
#~ "来优雅地停止后台进程，这等同于使用 `Ctrl-C` 停止前台 vLLM 进程："

#~ msgid "You will see output as below:"
#~ msgstr "你将会看到如下输出："

#~ msgid "Finally, you can exit container by using `ctrl-D`."
#~ msgstr "最后，你可以通过按 `ctrl-D` 退出容器。"

