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<code>docs/source/locale/zh_CN/LC_MESSAGES/user_guide/feature_guide/ucm_deployment.po</code> - <code>docs/source/locale/zh_CN/LC_MESSAGES/user_guide/feature_guide/weight_prefetch.po</code> --- [Workflow run](https://github.com/vllm-project/vllm-ascend/actions/runs/24390263284) Signed-off-by: vllm-ascend-ci <vllm-ascend-ci@users.noreply.github.com> Co-authored-by: vllm-ascend-ci <vllm-ascend-ci@users.noreply.github.com>
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153 lines
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# SOME DESCRIPTIVE TITLE.
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# Copyright (C) 2025, vllm-ascend team
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# This file is distributed under the same license as the vllm-ascend
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# package.
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# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
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#
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msgid ""
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msgstr ""
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"Project-Id-Version: vllm-ascend\n"
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2026-04-14 09:08+0000\n"
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"PO-Revision-Date: 2025-07-18 10:09+0800\n"
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"Last-Translator: \n"
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"Language: zh_CN\n"
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"Language-Team: zh_CN <LL@li.org>\n"
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"Plural-Forms: nplurals=1; plural=0;\n"
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"MIME-Version: 1.0\n"
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"Content-Type: text/plain; charset=utf-8\n"
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"Content-Transfer-Encoding: 8bit\n"
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"Generated-By: Babel 2.18.0\n"
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#: ../../source/quick_start.md:1
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msgid "Quickstart"
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msgstr "快速入门"
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#: ../../source/quick_start.md:3
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msgid "Prerequisites"
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msgstr "先决条件"
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#: ../../source/quick_start.md:5
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msgid "Supported Devices"
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msgstr "支持的设备"
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#: ../../source/quick_start.md:7
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msgid ""
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"Atlas A2 training series (Atlas 800T A2, Atlas 900 A2 PoD, Atlas 200T A2 "
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"Box16, Atlas 300T A2)"
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msgstr ""
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"Atlas A2 训练系列（Atlas 800T A2、Atlas 900 A2 PoD、Atlas 200T A2 Box16、Atlas "
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"300T A2）"
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#: ../../source/quick_start.md:8
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msgid "Atlas 800I A2 inference series (Atlas 800I A2)"
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msgstr "Atlas 800I A2 推理系列（Atlas 800I A2）"
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#: ../../source/quick_start.md:9
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msgid ""
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"Atlas A3 training series (Atlas 800T A3, Atlas 900 A3 SuperPoD, Atlas "
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"9000 A3 SuperPoD)"
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msgstr ""
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"Atlas A3 训练系列（Atlas 800T A3、Atlas 900 A3 SuperPoD、Atlas 9000 A3 SuperPoD）"
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#: ../../source/quick_start.md:10
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msgid "Atlas 800I A3 inference series (Atlas 800I A3)"
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msgstr "Atlas 800I A3 推理系列（Atlas 800I A3）"
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#: ../../source/quick_start.md:11
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msgid "[Experimental] Atlas 300I inference series (Atlas 300I Duo)"
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msgstr "[实验性] Atlas 300I 推理系列（Atlas 300I Duo）"
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#: ../../source/quick_start.md:13
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msgid "Setup environment using container"
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msgstr "使用容器设置环境"
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#: ../../source/quick_start.md
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msgid "Ubuntu"
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msgstr "Ubuntu"
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#: ../../source/quick_start.md
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msgid "openEuler"
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msgstr "openEuler"
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#: ../../source/quick_start.md:85
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msgid ""
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"The default workdir is `/workspace`, vLLM and vLLM Ascend code are placed"
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" in `/vllm-workspace` and installed in [development "
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"mode](https://setuptools.pypa.io/en/latest/userguide/development_mode.html)"
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" (`pip install -e`) to help developers make changes effective immediately"
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" without requiring a new installation."
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msgstr ""
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"默认工作目录为 `/workspace`，vLLM 和 vLLM Ascend 代码位于 `/vllm-workspace` 目录下，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。"
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#: ../../source/quick_start.md:87
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msgid "Usage"
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msgstr "用法"
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#: ../../source/quick_start.md:89
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msgid "You can use ModelScope mirror to speed up download:"
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msgstr "您可以使用 ModelScope 镜像来加速下载："
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#: ../../source/quick_start.md:97
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msgid "There are two ways to start vLLM on Ascend NPU:"
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msgstr "在昇腾 NPU 上启动 vLLM 有两种方式："
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#: ../../source/quick_start.md
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msgid "Offline Batched Inference"
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msgstr "离线批量推理"
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#: ../../source/quick_start.md:103
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msgid ""
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"With vLLM installed, you can start generating texts for list of input "
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"prompts (i.e. offline batch inference)."
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msgstr "安装 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）。"
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#: ../../source/quick_start.md:105
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msgid ""
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"Try to run below Python script directly or use `python3` shell to "
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"generate texts:"
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msgstr "尝试直接运行下面的 Python 脚本，或者使用 `python3` 交互式环境来生成文本："
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#: ../../source/quick_start.md
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msgid "OpenAI Completions API"
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msgstr "OpenAI Completions API"
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#: ../../source/quick_start.md:132
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msgid ""
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"vLLM can also be deployed as a server that implements the OpenAI API "
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"protocol. Run the following command to start the vLLM server with the "
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"[Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) model:"
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msgstr ""
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"vLLM 也可以部署为实现 OpenAI API 协议的服务器。运行以下命令，使用 [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) 模型启动 vLLM 服务器："
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#: ../../source/quick_start.md:143
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msgid "If you see a log as below:"
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msgstr "如果您看到如下日志："
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#: ../../source/quick_start.md:152
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msgid "Congratulations, you have successfully started the vLLM server!"
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msgstr "恭喜，您已成功启动 vLLM 服务器！"
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#: ../../source/quick_start.md:154
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msgid "You can query the list of models:"
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msgstr "您可以查询模型列表："
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#: ../../source/quick_start.md:162
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msgid "You can also query the model with input prompts:"
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msgstr "您也可以通过输入提示来查询模型："
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#: ../../source/quick_start.md:177
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msgid ""
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"vLLM is serving as a background process, you can use `kill -2 $VLLM_PID` "
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"to stop the background process gracefully, which is similar to `Ctrl-C` "
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"for stopping the foreground vLLM process:"
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msgstr ""
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"vLLM 正作为后台进程运行，您可以使用 `kill -2 $VLLM_PID` 来优雅地停止后台进程，这类似于使用 `Ctrl-C` 停止前台 vLLM 进程："
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#: ../../source/quick_start.md:186
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msgid "The output is as below:"
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msgstr "输出如下："
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#: ../../source/quick_start.md:195
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msgid "Finally, you can exit the container by using `ctrl-D`."
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msgstr "最后，您可以通过按 `ctrl-D` 退出容器。" |