# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2025, vllm-kunlun team
# This file is distributed under the same license as the vllm-kunlun
# package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version:  vllm-kunlun\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-11-10 16:59+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.17.0\n"

#: ../../source/tutorials/single_npu_qwen3_embedding.md:1
msgid "Single XPU (Qwen3-Embedding-8B)"
msgstr "单个XPU（Qwen3-Embedding-8B）"

#: ../../source/tutorials/single_npu_qwen3_embedding.md:3
msgid ""
"The Qwen3 Embedding model series is the latest proprietary model of the "
"Qwen family,"
msgstr ""

#~ msgid ""
#~ "The Qwen3 Embedding model series is "
#~ "the latest proprietary model of the "
#~ "Qwen family, specifically designed for "
#~ "text embedding and ranking tasks. "
#~ "Building upon the dense foundational "
#~ "models of the Qwen3 series, it "
#~ "provides a comprehensive range of text"
#~ " embeddings and reranking models in "
#~ "various sizes (0.6B, 4B, and 8B). "
#~ "This guide describes how to run "
#~ "the model with vLLM Kunlun. Note "
#~ "that only 0.9.2rc1 and higher versions"
#~ " of vLLM Kunlun support the model."
#~ msgstr ""
#~ "Qwen3 Embedding 模型系列是 Qwen "
#~ "家族最新的专有模型，专为文本嵌入和排序任务设计。在 Qwen3 "
#~ "系列的密集基础模型之上，它提供了多种尺寸（0.6B、4B 和 8B）的文本嵌入与重排序模型。本指南介绍如何使用"
#~ " vLLM Kunlun 运行该模型。请注意，只有 vLLM Kunlun "
#~ "0.9.2rc1 及更高版本才支持该模型。"

#~ msgid "Run docker container"
#~ msgstr "运行 docker 容器"

#~ msgid ""
#~ "Take Qwen3-Embedding-8B model as an "
#~ "example, first run the docker container"
#~ " with the following command:"
#~ msgstr "以 Qwen3-Embedding-8B 模型为例，首先使用以下命令运行 docker 容器："

#~ msgid "Setup environment variables:"
#~ msgstr "设置环境变量："

#~ msgid "Online Inference"
#~ msgstr "在线推理"

#~ msgid "Once your server is started, you can query the model with input prompts"
#~ msgstr "一旦服务器启动，就可以通过输入提示词来查询模型。"

#~ msgid "Offline Inference"
#~ msgstr "离线推理"

#~ msgid "If you run this script successfully, you can see the info shown below:"
#~ msgstr "如果你成功运行此脚本，你可以看到如下所示的信息："

