# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2025, vllm-ascend team
# This file is distributed under the same license as the vllm-ascend
# package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
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msgstr ""
"Project-Id-Version: vllm-ascend\n"
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"PO-Revision-Date: 2025-07-18 10:09+0800\n"
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#: ../../quick_start.md:1
msgid "Quickstart"
msgstr "快速入门"

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

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

#: ../../quick_start.md:6
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）"

#: ../../quick_start.md:7
msgid "Atlas 800I A2 Inference series (Atlas 800I A2)"
msgstr "Atlas 800I A2 推理系列（Atlas 800I A2）"

#: ../../quick_start.md:9
msgid "Setup environment using container"
msgstr "使用容器设置环境"

#: ../../quick_start.md
msgid "Ubuntu"
msgstr "Ubuntu"

#: ../../quick_start.md
msgid "openEuler"
msgstr "openEuler"

#: ../../quick_start.md:69
msgid ""
"The default workdir is `/workspace`, vLLM and vLLM Ascend 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 Ascend 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。"

#: ../../quick_start.md:71
msgid "Usage"
msgstr "用法"

#: ../../quick_start.md:73
msgid "You can use Modelscope mirror to speed up download:"
msgstr "你可以使用 Modelscope 镜像来加速下载："

#: ../../quick_start.md:80
msgid "There are two ways to start vLLM on Ascend NPU:"
msgstr "在昇腾 NPU 上启动 vLLM 有两种方式："

#: ../../quick_start.md
msgid "Offline Batched Inference"
msgstr "离线批量推理"

#: ../../quick_start.md:86
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）。"

#: ../../quick_start.md:88
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："

#: ../../quick_start.md
msgid "OpenAI Completions API"
msgstr "OpenAI Completions API"

#: ../../quick_start.md:114
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："

#: ../../quick_start.md:124
msgid "If you see log as below:"
msgstr "如果你看到如下日志："

#: ../../quick_start.md:132
msgid "Congratulations, you have successfully started the vLLM server!"
msgstr "恭喜，你已经成功启动了 vLLM 服务器！"

#: ../../quick_start.md:134
msgid "You can query the list the models:"
msgstr "你可以查询模型列表："

#: ../../quick_start.md:141
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："

#: ../../quick_start.md:155
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："

#: ../../quick_start.md:164
msgid "You will see output as below:"
msgstr "你将会看到如下输出："

#: ../../quick_start.md:172
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。"