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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../community/governance.md:1
msgid "Governance"
msgstr "治理"
#: ../../community/governance.md:3
msgid "Mission"
msgstr "使命"
#: ../../community/governance.md:4
msgid ""
"As a vital component of vLLM, the vLLM Ascend project is dedicated to "
"providing an easy, fast, and cheap LLM Serving for Everyone on Ascend NPU, "
"and to actively contribute to the enrichment of vLLM."
msgstr ""
"作为 vLLM 的重要组成部分，vLLM Ascend 项目致力于为所有人在 Ascend NPU 上提供简单、快速且低成本的大语言模型服务，并积极促进"
" vLLM 的丰富发展。"
#: ../../community/governance.md:6
msgid "Principles"
msgstr "原则"
#: ../../community/governance.md:7
msgid ""
"vLLM Ascend follows the vLLM community's code of conduct：[vLLM - CODE OF "
"CONDUCT](https://github.com/vllm-project/vllm/blob/main/CODE_OF_CONDUCT.md)"
msgstr ""
"vLLM Ascend 遵循 vLLM 社区的行为准则：[vLLM - 行为准则](https://github.com/vllm-"
"project/vllm/blob/main/CODE_OF_CONDUCT.md)"
#: ../../community/governance.md:9
msgid "Governance - Mechanics"
msgstr "治理 - 机制"
#: ../../community/governance.md:10
msgid ""
"vLLM Ascend is an open-source project under the vLLM community, where the "
"authority to appoint roles is ultimately determined by the vLLM community. "
"It adopts a hierarchical technical governance structure."
msgstr "vLLM Ascend 是 vLLM 社区下的一个开源项目，其角色任命权最终由 vLLM 社区决定。它采用分层的技术治理结构。"
#: ../../community/governance.md:12
msgid "Contributor:"
msgstr "贡献者："
#: ../../community/governance.md:14
msgid ""
"**Responsibility:** Help new contributors on boarding, handle and respond to"
" community questions, review RFCs, code"
msgstr "**职责：** 帮助新贡献者加入，处理和回复社区问题，审查RFC和代码"
#: ../../community/governance.md:16
msgid ""
"**Requirements:** Complete at least 1 contribution. Contributor is someone "
"who consistently and actively participates in a project, included but not "
"limited to issue/review/commits/community involvement."
msgstr "**要求：** 完成至少1次贡献。贡献者是指持续且积极参与项目的人，包括但不限于问题、评审、提交和社区参与。"
#: ../../community/governance.md:18
msgid ""
"Contributors will be empowered [vllm-project/vllm-"
"ascend](https://github.com/vllm-project/vllm-ascend) Github repo `Triage` "
"permissions (`Can read and clone this repository. Can also manage issues and"
" pull requests`) to help community developers collaborate more efficiently."
msgstr ""
"贡献者将被赋予 [vllm-project/vllm-ascend](https://github.com/vllm-project/vllm-"
"ascend) Github 仓库的 `Triage` 权限（`可读取和克隆此仓库。还可以管理问题和拉取请求`），以帮助社区开发者更加高效地协作。"
#: ../../community/governance.md:20
msgid "Maintainer:"
msgstr "维护者："
#: ../../community/governance.md:22
msgid ""
"**Responsibility:** Develop the project's vision and mission. Maintainers "
"are responsible for driving the technical direction of the entire project "
"and ensuring its overall success, possessing code merge permissions. They "
"formulate the roadmap, review contributions from community members, "
"continuously contribute code, and actively engage in community activities "
"(such as regular meetings/events)."
msgstr ""
"**责任：** "
"制定项目的愿景和使命。维护者负责引领整个项目的技术方向并确保其整体成功，拥有代码合并权限。他们制定路线图，审核社区成员的贡献，持续贡献代码，并积极参与社区活动（如定期会议/活动）。"
#: ../../community/governance.md:24
msgid ""
"**Requirements:** Deep understanding of ‌vLLM‌ and ‌vLLM Ascend‌ codebases, "
"with a commitment to sustained code contributions. Competency in "
"‌design/development/PR review workflows‌."
msgstr ""
"**要求：** 深入理解 ‌vLLM‌ 和 ‌vLLM Ascend‌ 代码库，并承诺持续贡献代码。具备 ‌设计/开发/PR 审核流程‌ 的能力。"
#: ../../community/governance.md:25
msgid ""
"**Review Quality‌:** Actively participate in community code reviews, "
"ensuring high-quality code integration."
msgstr "**评审质量：** 积极参与社区代码评审，确保高质量的代码集成。"
#: ../../community/governance.md:26
msgid ""
"**Quality Contribution‌:** Successfully develop and deliver at least one "
"major feature while maintaining consistent high-quality contributions."
msgstr "**质量贡献‌：** 成功开发并交付至少一个主要功能，同时持续保持高质量的贡献。"
#: ../../community/governance.md:27
msgid ""
"**Community Involvement‌:** Actively address issues, respond to forum "
"inquiries, participate in discussions, and engage in community-driven tasks."
msgstr "**社区参与：** 积极解决问题，回复论坛询问，参与讨论，并参与社区驱动的任务。"
#: ../../community/governance.md:29
msgid ""
"Requires approval from existing Maintainers. The vLLM community has the "
"final decision-making authority."
msgstr "需要现有维护者的批准。vLLM社区拥有最终决策权。"
#: ../../community/governance.md:31
msgid ""
"Maintainer will be empowered [vllm-project/vllm-"
"ascend](https://github.com/vllm-project/vllm-ascend) Github repo write "
"permissions (`Can read, clone, and push to this repository. Can also manage "
"issues and pull requests`)."
msgstr ""
"维护者将被授予 [vllm-project/vllm-ascend](https://github.com/vllm-project/vllm-"
"ascend) Github 仓库的写入权限（`可以读取、克隆和推送到此仓库。还可以管理问题和拉取请求`）。"
#: ../../community/governance.md:33
msgid "Nominating and Removing Maintainers"
msgstr "提名和移除维护者"
#: ../../community/governance.md:35
msgid "The Principles"
msgstr "原则"
#: ../../community/governance.md:37
msgid ""
"Membership in vLLM Ascend is given to individuals on merit basis after they "
"demonstrated strong expertise of the vLLM / vLLM Ascend through "
"contributions, reviews and discussions."
msgstr ""
"vLLM Ascend 的成员资格是基于个人能力授予的，只有在通过贡献、评审和讨论展示出对 vLLM / vLLM Ascend "
"的深厚专业知识后，才可获得。"
#: ../../community/governance.md:39
msgid ""
"For membership in the maintainer group the individual has to demonstrate "
"strong and continued alignment with the overall vLLM / vLLM Ascend "
"principles."
msgstr "要成为维护者组成员，个人必须表现出与 vLLM / vLLM Ascend 总体原则的高度一致并持续支持。"
#: ../../community/governance.md:41
msgid ""
"Light criteria of moving module maintenance to ‘emeritus’ status if they "
"don’t actively participate over long periods of time."
msgstr "如果模块维护人员在长时间内没有积极参与，可根据较宽松的标准将其维护状态转为“荣誉”状态。"
#: ../../community/governance.md:43
msgid "The membership is for an individual, not a company."
msgstr "该会员资格属于个人，而非公司。"
#: ../../community/governance.md:45
msgid "Nomination and Removal"
msgstr "提名与罢免"
#: ../../community/governance.md:47
msgid ""
"Nomination: Anyone can nominate someone to become a maintainer (include "
"self-nominate). All existing maintainers are responsible for evaluating the "
"nomination. The nominator should provide nominee's info around the strength "
"of the candidate to be a maintainer, include but not limited to review "
"quality, quality contribution, community involvement."
msgstr ""
"提名：任何人都可以提名他人成为维护者（包括自荐）。所有现有维护者都有责任评估提名。提名人应提供被提名人成为维护者的相关优势信息，包括但不限于评审质量、优质贡献、社区参与等。"
#: ../../community/governance.md:48
msgid ""
"Removal: Anyone can nominate a person to be removed from maintainer position"
" (include self-nominate). All existing maintainers are responsible for "
"evaluating the nomination. The nominator should provide nominee's info, "
"include but not limited to lack of activity, conflict with the overall "
"direction and other information that makes them unfit to be a maintainer."
msgstr ""
"移除：任何人都可以提名某人被移出维护者职位（包括自荐）。所有现有维护者都有责任评估该提名。提名者应提供被提名人的相关信息，包括但不限于缺乏活动、与整体方向冲突以及使其不适合作为维护者的其他信息。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../community/user_stories/index.md:15
msgid "More details"
msgstr "更多细节"
#: ../../community/user_stories/index.md:1
msgid "User Stories"
msgstr "用户故事"
#: ../../community/user_stories/index.md:3
msgid ""
"Read case studies on how users and developers solves real, everyday problems"
" with vLLM Ascend"
msgstr "阅读案例研究，了解用户和开发者如何使用 vLLM Ascend 解决实际日常问题。"
#: ../../community/user_stories/index.md:5
msgid ""
"[LLaMA-Factory](./llamafactory.md) is an easy-to-use and efficient platform "
"for training and fine-tuning large language models, it supports vLLM Ascend "
"to speed up inference since [LLaMA-"
"Factory#7739](https://github.com/hiyouga/LLaMA-Factory/pull/7739), gain 2x "
"performance enhancement of inference."
msgstr ""
"[LLaMA-Factory](./llamafactory.md) 是一个易于使用且高效的大语言模型训练与微调平台，自 [LLaMA-"
"Factory#7739](https://github.com/hiyouga/LLaMA-Factory/pull/7739) 起支持 vLLM "
"Ascend 加速推理，推理性能提升 2 倍。"
#: ../../community/user_stories/index.md:7
msgid ""
"[Huggingface/trl](https://github.com/huggingface/trl) is a cutting-edge "
"library designed for post-training foundation models using advanced "
"techniques like SFT, PPO and DPO, it uses vLLM Ascend since "
"[v0.17.0](https://github.com/huggingface/trl/releases/tag/v0.17.0) to "
"support RLHF on Ascend NPU."
msgstr ""
"[Huggingface/trl](https://github.com/huggingface/trl) 是一个前沿的库，专为使用 SFT、PPO 和"
" DPO 等先进技术对基础模型进行后训练而设计。从 "
"[v0.17.0](https://github.com/huggingface/trl/releases/tag/v0.17.0) 版本开始，该库利用"
" vLLM Ascend 来支持在 Ascend NPU 上进行 RLHF。"
#: ../../community/user_stories/index.md:9
msgid ""
"[MindIE Turbo](https://pypi.org/project/mindie-turbo) is an LLM inference "
"engine acceleration plug-in library developed by Huawei on Ascend hardware, "
"which includes self-developed large language model optimization algorithms "
"and optimizations related to the inference engine framework. It supports "
"vLLM Ascend since "
"[2.0rc1](https://www.hiascend.com/document/detail/zh/mindie/20RC1/AcceleratePlugin/turbodev/mindie-"
"turbo-0001.html)."
msgstr ""
"[MindIE Turbo](https://pypi.org/project/mindie-turbo) "
"是华为在昇腾硬件上开发的一款用于加速LLM推理引擎的插件库，包含自主研发的大语言模型优化算法及与推理引擎框架相关的优化。从 "
"[2.0rc1](https://www.hiascend.com/document/detail/zh/mindie/20RC1/AcceleratePlugin/turbodev/mindie-"
"turbo-0001.html) 起，支持 vLLM Ascend。"
#: ../../community/user_stories/index.md:11
msgid ""
"[GPUStack](https://github.com/gpustack/gpustack) is an open-source GPU "
"cluster manager for running AI models. It supports vLLM Ascend since "
"[v0.6.2](https://github.com/gpustack/gpustack/releases/tag/v0.6.2), see more"
" GPUStack performance evaluation info on "
"[link](https://mp.weixin.qq.com/s/pkytJVjcH9_OnffnsFGaew)."
msgstr ""
"[GPUStack](https://github.com/gpustack/gpustack) 是一个开源的 GPU 集群管理器，用于运行 AI "
"模型。从 [v0.6.2](https://github.com/gpustack/gpustack/releases/tag/v0.6.2) "
"版本开始支持 vLLM Ascend，更多 GPUStack 性能评测信息见 "
"[链接](https://mp.weixin.qq.com/s/pkytJVjcH9_OnffnsFGaew)。"
#: ../../community/user_stories/index.md:13
msgid ""
"[verl](https://github.com/volcengine/verl) is a flexible, efficient and "
"production-ready RL training library for large language models (LLMs), uses "
"vLLM Ascend since "
"[v0.4.0](https://github.com/volcengine/verl/releases/tag/v0.4.0), see more "
"info on [verl x Ascend "
"Quickstart](https://verl.readthedocs.io/en/latest/ascend_tutorial/ascend_quick_start.html)."
msgstr ""
"[verl](https://github.com/volcengine/verl) "
"是一个灵活、高效且可用于生产环境的大型语言模型（LLM）强化学习训练库，自 "
"[v0.4.0](https://github.com/volcengine/verl/releases/tag/v0.4.0) 起支持 vLLM "
"Ascend，更多信息请参见 [verl x Ascend "
"快速上手](https://verl.readthedocs.io/en/latest/ascend_tutorial/ascend_quick_start.html)。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../community/user_stories/llamafactory.md:1
msgid "LLaMA-Factory"
msgstr "LLaMA-Factory"
#: ../../community/user_stories/llamafactory.md:3
msgid "**About / Introduction**"
msgstr "**关于 / 介绍**"
#: ../../community/user_stories/llamafactory.md:5
msgid ""
"[LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) is an easy-to-use "
"and efficient platform for training and fine-tuning large language models. "
"With LLaMA-Factory, you can fine-tune hundreds of pre-trained models locally"
" without writing any code."
msgstr ""
"[LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) "
"是一个易于使用且高效的平台，用于训练和微调大型语言模型。有了 LLaMA-Factory，你可以在本地对数百个预训练模型进行微调，无需编写任何代码。"
#: ../../community/user_stories/llamafactory.md:7
msgid ""
"LLaMA-Facotory users need to evaluate and inference the model after fine-"
"tuning the model."
msgstr "LLaMA-Facotory 用户需要在对模型进行微调后对模型进行评估和推理。"
#: ../../community/user_stories/llamafactory.md:9
msgid "**The Business Challenge**"
msgstr "**业务挑战**"
#: ../../community/user_stories/llamafactory.md:11
msgid ""
"LLaMA-Factory used transformers to perform inference on Ascend NPU, but the "
"speed was slow."
msgstr "LLaMA-Factory 使用 transformers 在 Ascend NPU 上进行推理，但速度较慢。"
#: ../../community/user_stories/llamafactory.md:13
msgid "**Solving Challenges and Benefits with vLLM Ascend**"
msgstr "**通过 vLLM Ascend 解决挑战与收益**"
#: ../../community/user_stories/llamafactory.md:15
msgid ""
"With the joint efforts of LLaMA-Factory and vLLM Ascend ([LLaMA-"
"Factory#7739](https://github.com/hiyouga/LLaMA-Factory/pull/7739)), the "
"performance of LLaMA-Factory in the model inference stage has been "
"significantly improved. According to the test results, the inference speed "
"of LLaMA-Factory has been increased to 2x compared to the transformers "
"version."
msgstr ""
"在 LLaMA-Factory 和 vLLM Ascend 的共同努力下（参见 [LLaMA-"
"Factory#7739](https://github.com/hiyouga/LLaMA-Factory/pull/7739)），LLaMA-"
"Factory 在模型推理阶段的性能得到了显著提升。根据测试结果，LLaMA-Factory 的推理速度相比 transformers 版本提升到了 2"
" 倍。"
#: ../../community/user_stories/llamafactory.md:17
msgid "**Learn more**"
msgstr "**了解更多**"
#: ../../community/user_stories/llamafactory.md:19
msgid ""
"See more about LLaMA-Factory and how it uses vLLM Ascend for inference on "
"the Ascend NPU in the following documentation: [LLaMA-Factory Ascend NPU "
"Inference](https://llamafactory.readthedocs.io/en/latest/advanced/npu_inference.html)."
msgstr ""
"在以下文档中查看更多关于 LLaMA-Factory 以及其如何在 Ascend NPU 上使用 vLLM Ascend 进行推理的信息：[LLaMA-"
"Factory Ascend NPU "
"推理](https://llamafactory.readthedocs.io/en/latest/advanced/npu_inference.html)。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../community/versioning_policy.md:1
msgid "Versioning policy"
msgstr "版本管理策略"
#: ../../community/versioning_policy.md:3
msgid ""
"Starting with vLLM 0.7.x, the vLLM Ascend Plugin ([vllm-project/vllm-"
"ascend](https://github.com/vllm-project/vllm-ascend)) project follows the "
"[PEP 440](https://peps.python.org/pep-0440/) to publish matching with vLLM "
"([vllm-project/vllm](https://github.com/vllm-project/vllm))."
msgstr ""
"从 vLLM 0.7.x 开始，vLLM Ascend 插件（[vllm-project/vllm-"
"ascend](https://github.com/vllm-project/vllm-ascend)）项目遵循 [PEP "
"440](https://peps.python.org/pep-0440/) ，以与 vLLM（[vllm-"
"project/vllm](https://github.com/vllm-project/vllm)）版本匹配发布。"
#: ../../community/versioning_policy.md:5
msgid "vLLM Ascend Plugin versions"
msgstr "vLLM Ascend 插件版本"
#: ../../community/versioning_policy.md:7
msgid ""
"Each vLLM Ascend release will be versioned: "
"`v[major].[minor].[micro][rcN][.postN]` (such as `v0.7.3rc1`, `v0.7.3`, "
"`v0.7.3.post1`)"
msgstr ""
"每个 vLLM Ascend 版本将采用以下版本格式：`v[major].[minor].[micro][rcN][.postN]`（例如 "
"`v0.7.3rc1`、`v0.7.3`、`v0.7.3.post1`）"
#: ../../community/versioning_policy.md:10
msgid ""
"**Final releases**: will typically be released every **3 months**, will take"
" the vLLM upstream release plan and Ascend software product release plan "
"into comprehensive consideration."
msgstr "**正式版本**：通常每**3个月**发布一次，将综合考虑 vLLM 上游发行计划和昇腾软件产品发行计划。"
#: ../../community/versioning_policy.md:11
msgid ""
"**Pre releases**: will typically be released **on demand**, ending with rcN,"
" represents the Nth release candidate version, to support early testing by "
"our users prior to a final release."
msgstr "**预发布版本**：通常会**按需发布**，以 rcN 结尾，表示第N个候选发布版本，旨在支持用户在正式发布前进行早期测试。"
#: ../../community/versioning_policy.md:12
msgid ""
"**Post releases**: will typically be released **on demand** to support to "
"address minor errors in a final release. It's different from [PEP-440 post "
"release note](https://peps.python.org/pep-0440/#post-releases) suggestion, "
"it will contain actual bug fixes considering that the final release version "
"should be matched strictly with the vLLM final release version "
"(`v[major].[minor].[micro]`). The post version has to be published as a "
"patch version of the final release."
msgstr ""
"**后续版本**：通常会根据需要发布，以支持解决正式发布中的小错误。这与 [PEP-440 "
"的后续版本说明](https://peps.python.org/pep-0440/#post-releases) 建议不同，它将包含实际的 bug "
"修复，因为最终发布版本应严格与 vLLM "
"的最终发布版本（`v[major].[minor].[micro]`）匹配。后续版本必须以正式发布的补丁版本形式发布。"
#: ../../community/versioning_policy.md:14
msgid "For example:"
msgstr "例如："
#: ../../community/versioning_policy.md:15
msgid ""
"`v0.7.x`: it's the first final release to match the vLLM `v0.7.x` version."
msgstr "`v0.7.x`：这是第一个与 vLLM `v0.7.x` 版本相匹配的正式发布版本。"
#: ../../community/versioning_policy.md:16
msgid "`v0.7.3rc1`: will be the first pre version of vLLM Ascend."
msgstr "`v0.7.3rc1`：将会是 vLLM Ascend 的第一个预发布版本。"
#: ../../community/versioning_policy.md:17
msgid ""
"`v0.7.3.post1`: will be the post release if the `v0.7.3` release has some "
"minor errors."
msgstr "`v0.7.3.post1`：如果 `v0.7.3` 版本发布有一些小错误，将作为后续修正版发布。"
#: ../../community/versioning_policy.md:19
msgid "Release Compatibility Matrix"
msgstr "版本兼容性矩阵"
#: ../../community/versioning_policy.md:21
msgid "Following is the Release Compatibility Matrix for vLLM Ascend Plugin:"
msgstr "以下是 vLLM Ascend 插件的版本兼容性矩阵："
#: ../../community/versioning_policy.md
msgid "vLLM Ascend"
msgstr "vLLM Ascend"
#: ../../community/versioning_policy.md
msgid "vLLM"
msgstr "vLLM"
#: ../../community/versioning_policy.md
msgid "Python"
msgstr "Python"
#: ../../community/versioning_policy.md
msgid "Stable CANN"
msgstr "Stable CANN"
#: ../../community/versioning_policy.md
msgid "PyTorch/torch_npu"
msgstr "PyTorch/torch_npu"
#: ../../community/versioning_policy.md
msgid "MindIE Turbo"
msgstr "MindIE Turbo"
#: ../../community/versioning_policy.md
msgid "v0.9.2rc1"
msgstr "v0.9.2rc1"
#: ../../community/versioning_policy.md
msgid "v0.9.2"
msgstr "v0.9.2"
#: ../../community/versioning_policy.md
msgid ">= 3.9, < 3.12"
msgstr ">= 3.9，< 3.12"
#: ../../community/versioning_policy.md
msgid "8.1.RC1"
msgstr "8.1.RC1"
#: ../../community/versioning_policy.md
msgid "2.5.1 / 2.5.1.post1.dev20250619"
msgstr "2.5.1 / 2.5.1.post1.dev20250619"
#: ../../community/versioning_policy.md
msgid "v0.9.1rc1"
msgstr "v0.9.1rc1"
#: ../../community/versioning_policy.md
msgid "v0.9.1"
msgstr "v0.9.1"
#: ../../community/versioning_policy.md
msgid "2.5.1 / 2.5.1.post1.dev20250528"
msgstr "2.5.1 / 2.5.1.post1.dev20250528"
#: ../../community/versioning_policy.md
msgid "v0.9.0rc2"
msgstr "v0.9.0rc2"
#: ../../community/versioning_policy.md
msgid "v0.9.0"
msgstr "v0.9.0"
#: ../../community/versioning_policy.md
msgid "2.5.1 / 2.5.1"
msgstr "2.5.1 / 2.5.1"
#: ../../community/versioning_policy.md
msgid "v0.9.0rc1"
msgstr "v0.9.0rc1"
#: ../../community/versioning_policy.md
msgid "v0.8.5rc1"
msgstr "v0.8.5rc1"
#: ../../community/versioning_policy.md
msgid "v0.8.5.post1"
msgstr "v0.8.5.post1"
#: ../../community/versioning_policy.md
msgid "v0.8.4rc2"
msgstr "v0.8.4rc2"
#: ../../community/versioning_policy.md
msgid "v0.8.4"
msgstr "v0.8.4"
#: ../../community/versioning_policy.md
msgid "8.0.0"
msgstr "8.0.0"
#: ../../community/versioning_policy.md
msgid "v0.7.3.post1"
msgstr "v0.7.3.post1"
#: ../../community/versioning_policy.md
msgid "v0.7.3"
msgstr "v0.7.3"
#: ../../community/versioning_policy.md
msgid "2.0rc1"
msgstr "2.0候选版本1"
#: ../../community/versioning_policy.md:34
msgid "Release cadence"
msgstr "发布节奏"
#: ../../community/versioning_policy.md:36
msgid "release window"
msgstr "发布窗口"
#: ../../community/versioning_policy.md
msgid "Date"
msgstr "日期"
#: ../../community/versioning_policy.md
msgid "Event"
msgstr "事件"
#: ../../community/versioning_policy.md
msgid "2025.07.11"
msgstr "2025.07.11"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.9.2rc1"
msgstr "候选发布版本，v0.9.2rc1"
#: ../../community/versioning_policy.md
msgid "2025.06.22"
msgstr "2025.06.22"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.9.1rc1"
msgstr "候选发布版本，v0.9.1rc1"
#: ../../community/versioning_policy.md
msgid "2025.06.10"
msgstr "2025.06.10"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.9.0rc2"
msgstr "候选发布版本，v0.9.0rc2"
#: ../../community/versioning_policy.md
msgid "2025.06.09"
msgstr "2025.06.09"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.9.0rc1"
msgstr "候选发布版本本，v0.9.0rc1"
#: ../../community/versioning_policy.md
msgid "2025.05.29"
msgstr "2025.05.29"
#: ../../community/versioning_policy.md
msgid "v0.7.x post release, v0.7.3.post1"
msgstr "v0.7.x 补丁版，v0.7.3.post1"
#: ../../community/versioning_policy.md
msgid "2025.05.08"
msgstr "2025.05.08"
#: ../../community/versioning_policy.md
msgid "v0.7.x Final release, v0.7.3"
msgstr "v0.7.x 正式版，v0.7.3"
#: ../../community/versioning_policy.md
msgid "2025.05.06"
msgstr "2025.05.06"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.8.5rc1"
msgstr "候选发布版本，v0.8.5rc1"
#: ../../community/versioning_policy.md
msgid "2025.04.28"
msgstr "2025.04.28"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.8.4rc2"
msgstr "候选发布版本，v0.8.4rc2"
#: ../../community/versioning_policy.md
msgid "2025.04.18"
msgstr "2025.04.18"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.8.4rc1"
msgstr "候选发布版本，v0.8.4rc1"
#: ../../community/versioning_policy.md
msgid "2025.03.28"
msgstr "2025.03.28"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.7.3rc2"
msgstr "候选发布版本，v0.7.3rc2"
#: ../../community/versioning_policy.md
msgid "2025.03.14"
msgstr "2025.03.14"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.7.3rc1"
msgstr "候选发布版本，v0.7.3rc1"
#: ../../community/versioning_policy.md
msgid "2025.02.19"
msgstr "2025.02.19"
#: ../../community/versioning_policy.md
msgid "Release candidates, v0.7.1rc1"
msgstr "候选发布版本，v0.7.1rc1"
#: ../../community/versioning_policy.md:53
msgid "Branch policy"
msgstr "分支策略"
#: ../../community/versioning_policy.md:55
msgid "vLLM Ascend has main branch and dev branch."
msgstr "vLLM Ascend 有主分支和开发分支。"
#: ../../community/versioning_policy.md:57
msgid ""
"**main**: main branch，corresponds to the vLLM main branch and latest 1 or 2 "
"release version. It is continuously monitored for quality through Ascend CI."
msgstr "**main**：main 分支，对应 vLLM 的主分支和最新的 1 或 2 个发布版本。该分支通过 Ascend CI 持续监控质量。"
#: ../../community/versioning_policy.md:58
msgid ""
"**vX.Y.Z-dev**: development branch, created with part of new releases of "
"vLLM. For example, `v0.7.3-dev` is the dev branch for vLLM `v0.7.3` version."
msgstr ""
"**vX.Y.Z-dev**：开发分支，是随着 vLLM 新版本的一部分一起创建的。例如，`v0.7.3-dev` 是 vLLM `v0.7.3` "
"版本的开发分支。"
#: ../../community/versioning_policy.md:60
msgid ""
"Usually, a commit should be ONLY first merged in the main branch, and then "
"backported to the dev branch to reduce maintenance costs as much as "
"possible."
msgstr "通常，提交应该只先合并到主分支，然后再回溯合并到开发分支，以尽可能降低维护成本。"
#: ../../community/versioning_policy.md:62
msgid "Maintenance branch and EOL:"
msgstr "维护分支与生命周期结束（EOL）："
#: ../../community/versioning_policy.md:63
msgid "The branch status will be in one of the following states:"
msgstr "分支状态将处于以下几种状态之一："
#: ../../community/versioning_policy.md
msgid "Branch"
msgstr "分支"
#: ../../community/versioning_policy.md
msgid "Time frame"
msgstr "时间范围"
#: ../../community/versioning_policy.md
msgid "Summary"
msgstr "摘要"
#: ../../community/versioning_policy.md
msgid "Maintained"
msgstr "维护中"
#: ../../community/versioning_policy.md
msgid "Approximately 2-3 minor versions"
msgstr "大约 2-3 个小版本"
#: ../../community/versioning_policy.md
msgid "All bugfixes are appropriate. Releases produced, CI commitment."
msgstr "所有的错误修复都是合适的。正常发布版本，持续集成承诺。"
#: ../../community/versioning_policy.md
msgid "Unmaintained"
msgstr "无人维护"
#: ../../community/versioning_policy.md
msgid "Community interest driven"
msgstr "社区兴趣驱动"
#: ../../community/versioning_policy.md
msgid "All bugfixes are appropriate. No Releases produced, No CI commitment"
msgstr "所有的 bug 修复都是合适的。没有发布版本，不承诺持续集成（CI）。"
#: ../../community/versioning_policy.md
msgid "End of Life (EOL)"
msgstr "生命周期结束（EOL）"
#: ../../community/versioning_policy.md
msgid "N/A"
msgstr "不适用"
#: ../../community/versioning_policy.md
msgid "Branch no longer accepting changes"
msgstr "该分支不再接受更改"
#: ../../community/versioning_policy.md:71
msgid "Branch state"
msgstr "分支状态"
#: ../../community/versioning_policy.md:73
msgid ""
"Note that vLLM Ascend will only be released for a certain vLLM release "
"version rather than all versions. Hence, You might see only part of versions"
" have dev branches (such as only `0.7.1-dev` / `0.7.3-dev` but no "
"`0.7.2-dev`), this is as expected."
msgstr ""
"请注意，vLLM Ascend 只会针对某些 vLLM 发布版本发布，而不是所有版本。因此，您可能会看到只有部分版本拥有开发分支（例如只有 "
"`0.7.1-dev` / `0.7.3-dev`，而没有 `0.7.2-dev`），这是正常现象。"
#: ../../community/versioning_policy.md:75
msgid ""
"Usually, each minor version of vLLM (such as 0.7) will correspond to a vLLM "
"Ascend version branch and support its latest version (for example, we plan "
"to support version 0.7.3) as following shown:"
msgstr ""
"通常，vLLM 的每一个小版本（例如 0.7）都会对应一个 vLLM Ascend 版本分支，并支持其最新版本（例如，我们计划支持 0.7.3 "
"版），如下所示："
#: ../../community/versioning_policy.md
msgid "Status"
msgstr "状态"
#: ../../community/versioning_policy.md
msgid "Note"
msgstr "注释"
#: ../../community/versioning_policy.md
msgid "main"
msgstr "main"
#: ../../community/versioning_policy.md
msgid "CI commitment for vLLM main branch and vLLM 0.9.2 branch"
msgstr "vLLM 主分支和 vLLM 0.9.2 分支的 CI 承诺"
#: ../../community/versioning_policy.md
msgid "v0.9.1-dev"
msgstr "v0.9.1-dev"
#: ../../community/versioning_policy.md
msgid "CI commitment for vLLM 0.9.1 version"
msgstr "vLLM 0.9.1 版本的 CI 承诺"
#: ../../community/versioning_policy.md
msgid "v0.7.3-dev"
msgstr "v0.7.3-dev"
#: ../../community/versioning_policy.md
msgid "CI commitment for vLLM 0.7.3 version"
msgstr "vLLM 0.7.3 版本的 CI 承诺"
#: ../../community/versioning_policy.md
msgid "v0.7.1-dev"
msgstr "v0.7.1-dev"
#: ../../community/versioning_policy.md
msgid "Replaced by v0.7.3-dev"
msgstr "已被 v0.7.3-dev 替代"
#: ../../community/versioning_policy.md:84
msgid "Backward compatibility"
msgstr "向后兼容性"
#: ../../community/versioning_policy.md:86
msgid ""
"For main branch, vLLM Ascend should works with vLLM main branch and latest 1"
" or 2 release version. So to ensure the backward compatibility, we will do "
"the following:"
msgstr ""
"对于主分支，vLLM Ascend 应该与 vLLM 主分支以及最新的 1 或 2 个发布版本兼容。因此，为了确保向后兼容性，我们将执行以下操作："
#: ../../community/versioning_policy.md:87
msgid ""
"Both main branch and target vLLM release is tested by Ascend E2E CI. For "
"example, currently, vLLM main branch and vLLM 0.8.4 are tested now."
msgstr "主分支和目标 vLLM 发行版都经过了 Ascend E2E CI 的测试。例如，目前正在测试 vLLM 主分支和 vLLM 0.8.4。"
#: ../../community/versioning_policy.md:88
msgid ""
"For code changes, we will make sure that the changes are compatible with the"
" latest 1 or 2 vLLM release version as well. In this case, vLLM Ascend "
"introduced a version check machinism inner the code. It'll check the version"
" of installed vLLM package first to decide which code logic to use. If users"
" hit the `InvalidVersion` error, it sometimes means that they have installed"
" an dev/editable version of vLLM package. In this case, we provide the env "
"variable `VLLM_VERSION` to let users specify the version of vLLM package to "
"use."
msgstr ""
"对于代码更改，我们也会确保这些更改与最新的 1 或 2 个 vLLM 发行版本兼容。在这种情况下，vLLM Ascend "
"在代码中引入了版本检查机制。它会先检查已安装的 vLLM 包的版本，然后决定使用哪段代码逻辑。如果用户遇到 `InvalidVersion` "
"错误，这有时意味着他们安装了 dev/可编辑版本的 vLLM 包。此时，我们提供了环境变量 `VLLM_VERSION`，让用户可以指定要使用的 "
"vLLM 包版本。"
#: ../../community/versioning_policy.md:89
msgid ""
"For documentation changes, we will make sure that the changes are compatible"
" with the latest 1 or 2 vLLM release version as well. Note should be added "
"if there are any breaking changes."
msgstr "对于文档更改，我们会确保这些更改也兼容于最新的1个或2个 vLLM 发布版本。如果有任何重大变更，应添加说明。"
#: ../../community/versioning_policy.md:91
msgid "Document Branch Policy"
msgstr "文档分支政策"
#: ../../community/versioning_policy.md:92
msgid ""
"To reduce maintenance costs, **all branch documentation content should "
"remain consistent, and version differences can be controlled via variables "
"in [docs/source/conf.py](https://github.com/vllm-project/vllm-"
"ascend/blob/main/docs/source/conf.py)**. While this is not a simple task, it"
" is a principle we should strive to follow."
msgstr ""
"为了减少维护成本，**所有分支的文档内容应保持一致，版本差异可以通过 "
"[docs/source/conf.py](https://github.com/vllm-project/vllm-"
"ascend/blob/main/docs/source/conf.py) 中的变量进行控制**。虽然这并非易事，但这是我们应当努力遵循的原则。"
#: ../../community/versioning_policy.md
msgid "Version"
msgstr "版本"
#: ../../community/versioning_policy.md
msgid "Purpose"
msgstr "用途"
#: ../../community/versioning_policy.md
msgid "Code Branch"
msgstr "代码分支"
#: ../../community/versioning_policy.md
msgid "latest"
msgstr "最新"
#: ../../community/versioning_policy.md
msgid "Doc for the latest dev branch"
msgstr "最新开发分支的文档"
#: ../../community/versioning_policy.md
msgid "vX.Y.Z-dev (Will be `main` after the first final release)"
msgstr "vX.Y.Z-dev（在第一个正式版本发布后将成为 `main`）"
#: ../../community/versioning_policy.md
msgid "version"
msgstr "版本"
#: ../../community/versioning_policy.md
msgid "Doc for historical released versions"
msgstr "历史版本文档"
#: ../../community/versioning_policy.md
msgid "Git tags, like vX.Y.Z[rcN]"
msgstr "Git 标签，如 vX.Y.Z[rcN]"
#: ../../community/versioning_policy.md
msgid "stable（not yet released）"
msgstr "稳定版（尚未发布）"
#: ../../community/versioning_policy.md
msgid "Doc for latest final release branch"
msgstr "最新正式发布分支的文档"
#: ../../community/versioning_policy.md
msgid "Will be `vX.Y.Z-dev` after the first official release"
msgstr "首个正式发布后将会是 `vX.Y.Z-dev`"
#: ../../community/versioning_policy.md:100
msgid "As shown above:"
msgstr "如上所示："
#: ../../community/versioning_policy.md:102
msgid ""
"`latest` documentation: Matches the current maintenance branch `vX.Y.Z-dev` "
"(Will be `main` after the first final release). Continuously updated to "
"ensure usability for the latest release."
msgstr ""
"`latest` 文档：匹配当前维护分支 `vX.Y.Z-dev`（在首次正式发布后将为 `main`）。持续更新，以确保适用于最新发布版本。"
#: ../../community/versioning_policy.md:103
msgid ""
"`version` documentation: Corresponds to specific released versions (e.g., "
"`v0.7.3`, `v0.7.3rc1`). No further updates after release."
msgstr "`version` 文档：对应特定的已发布版本（例如，`v0.7.3`、`v0.7.3rc1`）。发布后不再进行更新。"
#: ../../community/versioning_policy.md:104
msgid ""
"`stable` documentation (**not yet released**): Official release "
"documentation. Updates are allowed in real-time after release, typically "
"based on vX.Y.Z-dev. Once stable documentation is available, non-stable "
"versions should display a header warning: `You are viewing the latest "
"developer preview docs. Click here to view docs for the latest stable "
"release.`."
msgstr ""
"`stable` 文档（**尚未发布**）：官方发布版文档。发布后允许实时更新，通常基于 "
"vX.Y.Z-dev。一旦稳定版文档可用，非稳定版本应显示一个顶部警告：`您正在查看最新的开发预览文档。点击此处查看最新稳定版本文档。`"
#: ../../community/versioning_policy.md:106
msgid "Software Dependency Management"
msgstr "软件依赖管理"
#: ../../community/versioning_policy.md:107
msgid ""
"`torch-npu`: Ascend Extension for PyTorch (torch-npu) releases a stable "
"version to [PyPi](https://pypi.org/project/torch-npu) every 3 months, a "
"development version (aka the POC version) every month, and a nightly version"
" every day. The PyPi stable version **CAN** be used in vLLM Ascend final "
"version, the monthly dev version **ONLY CANN** be used in vLLM Ascend RC "
"version for rapid iteration, the nightly version **CANNOT** be used in vLLM "
"Ascend any version and branches."
msgstr ""
"`torch-npu`：Ascend Extension for PyTorch（torch-npu）每 3 个月会在 "
"[PyPi](https://pypi.org/project/torch-npu) 上发布一个稳定版本，每个月发布一个开发版本（即 POC "
"版本），每天发布一个 nightly 版本。PyPi 上的稳定版本**可以**用于 vLLM Ascend 的正式版本，月度开发版本**只能**用于 "
"vLLM Ascend 的 RC（候选发布）版本以便快速迭代，nightly 版本**不能**用于 vLLM Ascend 的任何版本和分支。"

187
docs/source/locale/zh_CN/LC_MESSAGES/developer_guide/contribution/index.po Normal file
View File

@@ -0,0 +1,187 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/contribution/index.md:107
msgid "Index"
msgstr "索引"
#: ../../developer_guide/contribution/index.md:1
msgid "Contributing"
msgstr "贡献"
#: ../../developer_guide/contribution/index.md:3
msgid "Building and testing"
msgstr "构建与测试"
#: ../../developer_guide/contribution/index.md:4
msgid ""
"It's recommended to set up a local development environment to build and test"
" before you submit a PR."
msgstr "建议先搭建本地开发环境来进行构建和测试，再提交 PR。"
#: ../../developer_guide/contribution/index.md:7
msgid "Setup development environment"
msgstr "搭建开发环境"
#: ../../developer_guide/contribution/index.md:9
msgid ""
"Theoretically, the vllm-ascend build is only supported on Linux because "
"`vllm-ascend` dependency `torch_npu` only supports Linux."
msgstr ""
"理论上，vllm-ascend 构建仅支持 Linux，因为 `vllm-ascend` 的依赖项 `torch_npu` 只支持 Linux。"
#: ../../developer_guide/contribution/index.md:12
msgid ""
"But you can still set up dev env on Linux/Windows/macOS for linting and "
"basic test as following commands:"
msgstr "但你仍然可以在 Linux/Windows/macOS 上按照以下命令设置开发环境，用于代码规约检查和基本测试："
#: ../../developer_guide/contribution/index.md:15
msgid "Run lint locally"
msgstr "在本地运行 lint"
#: ../../developer_guide/contribution/index.md:33
msgid "Run CI locally"
msgstr "本地运行CI"
#: ../../developer_guide/contribution/index.md:35
msgid "After complete \"Run lint\" setup, you can run CI locally:"
msgstr "在完成“运行 lint”设置后，你可以在本地运行 CI："
#: ../../developer_guide/contribution/index.md:61
msgid "Submit the commit"
msgstr "提交该提交"
#: ../../developer_guide/contribution/index.md:68
msgid ""
"🎉 Congratulations! You have completed the development environment setup."
msgstr "🎉 恭喜！你已经完成了开发环境的搭建。"
#: ../../developer_guide/contribution/index.md:70
msgid "Test locally"
msgstr "本地测试"
#: ../../developer_guide/contribution/index.md:72
msgid ""
"You can refer to [Testing](./testing.md) doc to help you setup testing "
"environment and running tests locally."
msgstr "你可以参考 [测试](./testing.md) 文档，帮助你搭建测试环境并在本地运行测试。"
#: ../../developer_guide/contribution/index.md:74
msgid "DCO and Signed-off-by"
msgstr "DCO 和签名确认"
#: ../../developer_guide/contribution/index.md:76
msgid ""
"When contributing changes to this project, you must agree to the DCO. "
"Commits must include a `Signed-off-by:` header which certifies agreement "
"with the terms of the DCO."
msgstr "当为本项目贡献更改时，您必须同意 DCO。提交必须包含 `Signed-off-by:` 头部，以证明您同意 DCO 的条款。"
#: ../../developer_guide/contribution/index.md:78
msgid "Using `-s` with `git commit` will automatically add this header."
msgstr "在使用 `git commit` 时加上 `-s` 参数会自动添加这个头部信息。"
#: ../../developer_guide/contribution/index.md:80
msgid "PR Title and Classification"
msgstr "PR 标题与分类"
#: ../../developer_guide/contribution/index.md:82
msgid ""
"Only specific types of PRs will be reviewed. The PR title is prefixed "
"appropriately to indicate the type of change. Please use one of the "
"following:"
msgstr "只有特定类型的 PR 会被审核。PR 标题应使用合适的前缀以指明更改类型。请使用以下之一："
#: ../../developer_guide/contribution/index.md:84
msgid "`[Attention]` for new features or optimization in attention."
msgstr "`[Attention]` 用于注意力机制中新特性或优化。"
#: ../../developer_guide/contribution/index.md:85
msgid "`[Communicator]` for new features or optimization in communicators."
msgstr "`[Communicator]` 适用于通信器中的新特性或优化。"
#: ../../developer_guide/contribution/index.md:86
msgid "`[ModelRunner]` for new features or optimization in model runner."
msgstr "`[ModelRunner]` 用于模型运行器中的新功能或优化。"
#: ../../developer_guide/contribution/index.md:87
msgid "`[Platform]` for new features or optimization in platform."
msgstr "`[Platform]` 用于平台中新功能或优化。"
#: ../../developer_guide/contribution/index.md:88
msgid "`[Worker]` for new features or optimization in worker."
msgstr "`[Worker]` 用于 worker 的新功能或优化。"
#: ../../developer_guide/contribution/index.md:89
msgid ""
"`[Core]` for new features or optimization in the core vllm-ascend logic "
"(such as platform, attention, communicators, model runner)"
msgstr "`[Core]` 用于核心 vllm-ascend 逻辑中的新特性或优化（例如平台、注意力机制、通信器、模型运行器）。"
#: ../../developer_guide/contribution/index.md:90
msgid "`[Kernel]` changes affecting compute kernels and ops."
msgstr "`[Kernel]` 影响计算内核和操作的更改。"
#: ../../developer_guide/contribution/index.md:91
msgid "`[Bugfix]` for bug fixes."
msgstr "`[Bugfix]` 用于表示错误修复。"
#: ../../developer_guide/contribution/index.md:92
msgid "`[Doc]` for documentation fixes and improvements."
msgstr "`[Doc]` 用于文档修复和改进。"
#: ../../developer_guide/contribution/index.md:93
msgid "`[Test]` for tests (such as unit tests)."
msgstr "`[Test]` 用于测试（如单元测试）。"
#: ../../developer_guide/contribution/index.md:94
msgid "`[CI]` for build or continuous integration improvements."
msgstr "`[CI]` 用于构建或持续集成的改进。"
#: ../../developer_guide/contribution/index.md:95
msgid ""
"`[Misc]` for PRs that do not fit the above categories. Please use this "
"sparingly."
msgstr "对于不属于上述类别的 PR，请使用 `[Misc]`。请谨慎使用此标签。"
#: ../../developer_guide/contribution/index.md:98
msgid ""
"If the PR spans more than one category, please include all relevant "
"prefixes."
msgstr "如果拉取请求（PR）涵盖多个类别，请包含所有相关的前缀。"
#: ../../developer_guide/contribution/index.md:101
msgid "Others"
msgstr "其他"
#: ../../developer_guide/contribution/index.md:103
msgid ""
"You may find more information about contributing to vLLM Ascend backend "
"plugin on "
"[<u>docs.vllm.ai</u>](https://docs.vllm.ai/en/latest/contributing/overview.html)."
" If you find any problem when contributing, you can feel free to submit a PR"
" to improve the doc to help other developers."
msgstr ""
"你可以在 "
"[<u>docs.vllm.ai</u>](https://docs.vllm.ai/en/latest/contributing/overview.html)"
" 上找到有关为 vLLM Ascend 后端插件做贡献的更多信息。如果你在贡献过程中遇到任何问题，欢迎随时提交 PR 来改进文档，以帮助其他开发者。"

237
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@@ -0,0 +1,237 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/contribution/testing.md:1
msgid "Testing"
msgstr "测试"
#: ../../developer_guide/contribution/testing.md:3
msgid ""
"This secition explains how to write e2e tests and unit tests to verify the "
"implementation of your feature."
msgstr "本节介绍如何编写端到端测试和单元测试，以验证你的功能实现。"
#: ../../developer_guide/contribution/testing.md:5
msgid "Setup test environment"
msgstr "设置测试环境"
#: ../../developer_guide/contribution/testing.md:7
msgid ""
"The fastest way to setup test environment is to use the main branch "
"container image:"
msgstr "搭建测试环境最快的方法是使用 main 分支的容器镜像："
#: ../../developer_guide/contribution/testing.md
msgid "Local (CPU)"
msgstr "本地（CPU）"
#: ../../developer_guide/contribution/testing.md:18
msgid "You can run the unit tests on CPU with the following steps:"
msgstr "你可以按照以下步骤在 CPU 上运行单元测试："
#: ../../developer_guide/contribution/testing.md
msgid "Single card"
msgstr "单张卡片"
#: ../../developer_guide/contribution/testing.md:85
#: ../../developer_guide/contribution/testing.md:123
msgid ""
"After starting the container, you should install the required packages:"
msgstr "启动容器后，你应该安装所需的软件包："
#: ../../developer_guide/contribution/testing.md
msgid "Multi cards"
msgstr "多卡"
#: ../../developer_guide/contribution/testing.md:137
msgid "Running tests"
msgstr "运行测试"
#: ../../developer_guide/contribution/testing.md:139
msgid "Unit test"
msgstr "单元测试"
#: ../../developer_guide/contribution/testing.md:141
msgid "There are several principles to follow when writing unit tests:"
msgstr "编写单元测试时需要遵循几个原则："
#: ../../developer_guide/contribution/testing.md:143
msgid ""
"The test file path should be consistent with source file and start with "
"`test_` prefix, such as: `vllm_ascend/worker/worker_v1.py` --> "
"`tests/ut/worker/test_worker_v1.py`"
msgstr ""
"测试文件的路径应与源文件保持一致，并以 `test_` 前缀开头，例如：`vllm_ascend/worker/worker_v1.py` --> "
"`tests/ut/worker/test_worker_v1.py`"
#: ../../developer_guide/contribution/testing.md:144
msgid ""
"The vLLM Ascend test are using unittest framework, see "
"[here](https://docs.python.org/3/library/unittest.html#module-unittest) to "
"understand how to write unit tests."
msgstr ""
"vLLM Ascend 测试使用 unittest "
"框架，参见[这里](https://docs.python.org/3/library/unittest.html#module-"
"unittest)了解如何编写单元测试。"
#: ../../developer_guide/contribution/testing.md:145
msgid ""
"All unit tests can be run on CPU, so you must mock the device-related "
"function to host."
msgstr "所有单元测试都可以在 CPU 上运行，因此你必须将与设备相关的函数模拟为 host。"
#: ../../developer_guide/contribution/testing.md:146
msgid ""
"Example: [tests/ut/test_ascend_config.py](https://github.com/vllm-"
"project/vllm-ascend/blob/main/tests/ut/test_ascend_config.py)."
msgstr ""
"示例：[tests/ut/test_ascend_config.py](https://github.com/vllm-project/vllm-"
"ascend/blob/main/tests/ut/test_ascend_config.py)。"
#: ../../developer_guide/contribution/testing.md:147
msgid "You can run the unit tests using `pytest`:"
msgstr "你可以使用 `pytest` 运行单元测试："
#: ../../developer_guide/contribution/testing.md
msgid "Multi cards test"
msgstr "多卡测试"
#: ../../developer_guide/contribution/testing.md:192
msgid "E2E test"
msgstr "端到端测试"
#: ../../developer_guide/contribution/testing.md:194
msgid ""
"Although vllm-ascend CI provide [e2e test](https://github.com/vllm-"
"project/vllm-ascend/blob/main/.github/workflows/vllm_ascend_test.yaml) on "
"Ascend CI, you can run it locally."
msgstr ""
"虽然 vllm-ascend CI 在 Ascend CI 上提供了 [端到端测试](https://github.com/vllm-"
"project/vllm-"
"ascend/blob/main/.github/workflows/vllm_ascend_test.yaml)，你也可以在本地运行它。"
#: ../../developer_guide/contribution/testing.md:204
msgid "You can't run e2e test on CPU."
msgstr "你无法在 CPU 上运行 e2e 测试。"
#: ../../developer_guide/contribution/testing.md:240
msgid ""
"This will reproduce e2e test: "
"[vllm_ascend_test.yaml](https://github.com/vllm-project/vllm-"
"ascend/blob/main/.github/workflows/vllm_ascend_test.yaml)."
msgstr ""
"这将复现端到端测试：[vllm_ascend_test.yaml](https://github.com/vllm-project/vllm-"
"ascend/blob/main/.github/workflows/vllm_ascend_test.yaml)。"
#: ../../developer_guide/contribution/testing.md:242
msgid "E2E test example:"
msgstr "E2E 测试示例："
#: ../../developer_guide/contribution/testing.md:244
msgid ""
"Offline test example: "
"[`tests/e2e/singlecard/test_offline_inference.py`](https://github.com/vllm-"
"project/vllm-"
"ascend/blob/main/tests/e2e/singlecard/test_offline_inference.py)"
msgstr ""
"离线测试示例：[`tests/e2e/singlecard/test_offline_inference.py`](https://github.com/vllm-"
"project/vllm-"
"ascend/blob/main/tests/e2e/singlecard/test_offline_inference.py)"
#: ../../developer_guide/contribution/testing.md:245
msgid ""
"Online test examples: "
"[`tests/e2e/singlecard/test_prompt_embedding.py`](https://github.com/vllm-"
"project/vllm-ascend/blob/main/tests/e2e/singlecard/test_prompt_embedding.py)"
msgstr ""
"在线测试示例：[`tests/e2e/singlecard/test_prompt_embedding.py`](https://github.com/vllm-"
"project/vllm-ascend/blob/main/tests/e2e/singlecard/test_prompt_embedding.py)"
#: ../../developer_guide/contribution/testing.md:246
msgid ""
"Correctness test example: "
"[`tests/e2e/singlecard/test_aclgraph.py`](https://github.com/vllm-"
"project/vllm-ascend/blob/main/tests/e2e/singlecard/test_aclgraph.py)"
msgstr ""
"正确性测试示例：[`tests/e2e/singlecard/test_aclgraph.py`](https://github.com/vllm-"
"project/vllm-ascend/blob/main/tests/e2e/singlecard/test_aclgraph.py)"
#: ../../developer_guide/contribution/testing.md:247
msgid ""
"Reduced Layer model test example: [test_torchair_graph_mode.py - "
"DeepSeek-V3-Pruning](https://github.com/vllm-project/vllm-"
"ascend/blob/20767a043cccb3764214930d4695e53941de87ec/tests/e2e/multicard/test_torchair_graph_mode.py#L48)"
msgstr ""
"简化层模型测试示例：[test_torchair_graph_mode.py - "
"DeepSeek-V3-Pruning](https://github.com/vllm-project/vllm-"
"ascend/blob/20767a043cccb3764214930d4695e53941de87ec/tests/e2e/multicard/test_torchair_graph_mode.py#L48)"
#: ../../developer_guide/contribution/testing.md:249
msgid ""
"The CI resource is limited, you might need to reduce layer number of the "
"model, below is an example of how to generate a reduced layer model:"
msgstr "CI 资源有限，您可能需要减少模型的层数，下面是一个生成减少层数模型的示例："
#: ../../developer_guide/contribution/testing.md:250
msgid ""
"Fork the original model repo in modelscope, we need all the files in the "
"repo except for weights."
msgstr "在 modelscope 中 fork 原始模型仓库，我们需要仓库中的所有文件，除了权重文件。"
#: ../../developer_guide/contribution/testing.md:251
#, python-brace-format
msgid ""
"Set `num_hidden_layers` to the expected number of layers, e.g., "
"`{\"num_hidden_layers\": 2,}`"
msgstr "将 `num_hidden_layers` 设置为期望的层数，例如 `{\"num_hidden_layers\": 2,}`"
#: ../../developer_guide/contribution/testing.md:252
msgid ""
"Copy the following python script as `generate_random_weight.py`. Set the "
"relevant parameters `MODEL_LOCAL_PATH`, `DIST_DTYPE` and `DIST_MODEL_PATH` "
"as needed:"
msgstr ""
"将以下 Python 脚本复制为 `generate_random_weight.py`。根据需要设置相关参数 "
"`MODEL_LOCAL_PATH`、`DIST_DTYPE` 和 `DIST_MODEL_PATH`："
#: ../../developer_guide/contribution/testing.md:270
msgid "Run doctest"
msgstr "运行 doctest"
#: ../../developer_guide/contribution/testing.md:272
msgid ""
"vllm-ascend provides a `vllm-ascend/tests/e2e/run_doctests.sh` command to "
"run all doctests in the doc files. The doctest is a good way to make sure "
"the docs are up to date and the examples are executable, you can run it "
"locally as follows:"
msgstr ""
"vllm-ascend 提供了一个 `vllm-ascend/tests/e2e/run_doctests.sh` 命令，用于运行文档文件中的所有 "
"doctest。doctest 是确保文档保持最新且示例可执行的好方法，你可以按照以下方式在本地运行它："
#: ../../developer_guide/contribution/testing.md:280
msgid ""
"This will reproduce the same environment as the CI: "
"[vllm_ascend_doctest.yaml](https://github.com/vllm-project/vllm-"
"ascend/blob/main/.github/workflows/vllm_ascend_doctest.yaml)."
msgstr ""
"这将复现与 CI 相同的环境：[vllm_ascend_doctest.yaml](https://github.com/vllm-"
"project/vllm-ascend/blob/main/.github/workflows/vllm_ascend_doctest.yaml)。"

26
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@@ -0,0 +1,26 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/evaluation/accuracy_report/index.md:1
#: ../../developer_guide/evaluation/accuracy_report/index.md:3
msgid "Accuracy Report"
msgstr "准确性报告"

26
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@@ -0,0 +1,26 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/evaluation/index.md:1
#: ../../developer_guide/evaluation/index.md:3
msgid "Accuracy"
msgstr "准确性"

112
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@@ -0,0 +1,112 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/evaluation/using_evalscope.md:1
msgid "Using EvalScope"
msgstr "使用 EvalScope"
#: ../../developer_guide/evaluation/using_evalscope.md:3
msgid ""
"This document will guide you have model inference stress testing and "
"accuracy testing using [EvalScope](https://github.com/modelscope/evalscope)."
msgstr ""
"本文档将指导您如何使用 [EvalScope](https://github.com/modelscope/evalscope) "
"进行模型推理压力测试和精度测试。"
#: ../../developer_guide/evaluation/using_evalscope.md:5
msgid "1. Online serving"
msgstr "1. 在线服务"
#: ../../developer_guide/evaluation/using_evalscope.md:7
msgid "You can run docker container to start the vLLM server on a single NPU:"
msgstr "你可以运行 docker 容器，在单个 NPU 上启动 vLLM 服务器："
#: ../../developer_guide/evaluation/using_evalscope.md:34
msgid "If your service start successfully, you can see the info shown below:"
msgstr "如果你的服务启动成功，你会看到如下所示的信息："
#: ../../developer_guide/evaluation/using_evalscope.md:42
msgid ""
"Once your server is started, you can query the model with input prompts in "
"new terminal:"
msgstr "一旦你的服务器启动后，你可以在新的终端中用输入提示词查询模型："
#: ../../developer_guide/evaluation/using_evalscope.md:55
msgid "2. Install EvalScope using pip"
msgstr "2. 使用 pip 安装 EvalScope"
#: ../../developer_guide/evaluation/using_evalscope.md:57
msgid "You can install EvalScope by using:"
msgstr "你可以使用以下方式安装 EvalScope："
#: ../../developer_guide/evaluation/using_evalscope.md:65
msgid "3. Run gsm8k accuracy test using EvalScope"
msgstr "3. 使用 EvalScope 运行 gsm8k 准确率测试"
#: ../../developer_guide/evaluation/using_evalscope.md:67
msgid "You can `evalscope eval` run gsm8k accuracy test:"
msgstr "你可以使用 `evalscope eval` 运行 gsm8k 准确率测试："
#: ../../developer_guide/evaluation/using_evalscope.md:78
#: ../../developer_guide/evaluation/using_evalscope.md:114
msgid "After 1-2 mins, the output is as shown below:"
msgstr "1-2 分钟后，输出如下所示："
#: ../../developer_guide/evaluation/using_evalscope.md:88
msgid ""
"See more detail in: [EvalScope doc - Model API Service "
"Evaluation](https://evalscope.readthedocs.io/en/latest/get_started/basic_usage.html#model-"
"api-service-evaluation)."
msgstr ""
"更多详情请见：[EvalScope 文档 - 模型 API "
"服务评测](https://evalscope.readthedocs.io/en/latest/get_started/basic_usage.html#model-"
"api-service-evaluation)。"
#: ../../developer_guide/evaluation/using_evalscope.md:90
msgid "4. Run model inference stress testing using EvalScope"
msgstr "4. 使用 EvalScope 运行模型推理压力测试"
#: ../../developer_guide/evaluation/using_evalscope.md:92
msgid "Install EvalScope[perf] using pip"
msgstr "使用 pip 安装 EvalScope[perf]"
#: ../../developer_guide/evaluation/using_evalscope.md:98
msgid "Basic usage"
msgstr "基本用法"
#: ../../developer_guide/evaluation/using_evalscope.md:100
msgid "You can use `evalscope perf` run perf test:"
msgstr "你可以使用 `evalscope perf` 运行性能测试："
#: ../../developer_guide/evaluation/using_evalscope.md:112
msgid "Output results"
msgstr "输出结果"
#: ../../developer_guide/evaluation/using_evalscope.md:173
msgid ""
"See more detail in: [EvalScope doc - Model Inference Stress "
"Testing](https://evalscope.readthedocs.io/en/latest/user_guides/stress_test/quick_start.html#basic-"
"usage)."
msgstr ""
"更多详情见：[EvalScope 文档 - "
"模型推理压力测试](https://evalscope.readthedocs.io/en/latest/user_guides/stress_test/quick_start.html#basic-"
"usage)。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/evaluation/using_lm_eval.md:1
msgid "Using lm-eval"
msgstr "使用 lm-eval"
#: ../../developer_guide/evaluation/using_lm_eval.md:2
msgid ""
"This document will guide you have a accuracy testing using [lm-"
"eval](https://github.com/EleutherAI/lm-evaluation-harness)."
msgstr ""
"本文将指导你如何使用 [lm-eval](https://github.com/EleutherAI/lm-evaluation-harness) "
"进行准确率测试。"
#: ../../developer_guide/evaluation/using_lm_eval.md:4
msgid "1. Run docker container"
msgstr "1. 运行 docker 容器"
#: ../../developer_guide/evaluation/using_lm_eval.md:6
msgid "You can run docker container on a single NPU:"
msgstr "你可以在单个NPU上运行docker容器："
#: ../../developer_guide/evaluation/using_lm_eval.md:33
msgid "2. Run ceval accuracy test using lm-eval"
msgstr "2. 使用 lm-eval 运行 ceval 准确性测试"
#: ../../developer_guide/evaluation/using_lm_eval.md:34
msgid "Install lm-eval in the container."
msgstr "在容器中安装 lm-eval。"
#: ../../developer_guide/evaluation/using_lm_eval.md:39
msgid "Run the following command:"
msgstr "运行以下命令："
#: ../../developer_guide/evaluation/using_lm_eval.md:50
msgid "After 1-2 mins, the output is as shown below:"
msgstr "1-2 分钟后，输出如下所示："
#: ../../developer_guide/evaluation/using_lm_eval.md:62
msgid ""
"You can see more usage on [Lm-eval Docs](https://github.com/EleutherAI/lm-"
"evaluation-harness/blob/main/docs/README.md)."
msgstr ""
"你可以在 [Lm-eval 文档](https://github.com/EleutherAI/lm-evaluation-"
"harness/blob/main/docs/README.md) 上查看更多用法。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/evaluation/using_opencompass.md:1
msgid "Using OpenCompass"
msgstr "使用 OpenCompass"
#: ../../developer_guide/evaluation/using_opencompass.md:2
msgid ""
"This document will guide you have a accuracy testing using "
"[OpenCompass](https://github.com/open-compass/opencompass)."
msgstr ""
"本文档将指导你如何使用 [OpenCompass](https://github.com/open-compass/opencompass) "
"进行准确率测试。"
#: ../../developer_guide/evaluation/using_opencompass.md:4
msgid "1. Online Serving"
msgstr "1. 在线服务"
#: ../../developer_guide/evaluation/using_opencompass.md:6
msgid "You can run docker container to start the vLLM server on a single NPU:"
msgstr "你可以运行 docker 容器，在单个 NPU 上启动 vLLM 服务器："
#: ../../developer_guide/evaluation/using_opencompass.md:32
msgid "If your service start successfully, you can see the info shown below:"
msgstr "如果你的服务启动成功，你会看到如下所示的信息："
#: ../../developer_guide/evaluation/using_opencompass.md:39
msgid ""
"Once your server is started, you can query the model with input prompts in "
"new terminal:"
msgstr "一旦你的服务器启动后，你可以在新的终端中用输入提示词查询模型："
#: ../../developer_guide/evaluation/using_opencompass.md:51
msgid "2. Run ceval accuracy test using OpenCompass"
msgstr "2. 使用 OpenCompass 运行 ceval 准确率测试"
#: ../../developer_guide/evaluation/using_opencompass.md:52
msgid ""
"Install OpenCompass and configure the environment variables in the "
"container."
msgstr "在容器中安装 OpenCompass 并配置环境变量。"
#: ../../developer_guide/evaluation/using_opencompass.md:64
msgid ""
"Add `opencompass/configs/eval_vllm_ascend_demo.py` with the following "
"content:"
msgstr "添加 `opencompass/configs/eval_vllm_ascend_demo.py`，内容如下："
#: ../../developer_guide/evaluation/using_opencompass.md:104
msgid "Run the following command:"
msgstr "运行以下命令："
#: ../../developer_guide/evaluation/using_opencompass.md:110
msgid "After 1-2 mins, the output is as shown below:"
msgstr "1-2 分钟后，输出如下所示："
#: ../../developer_guide/evaluation/using_opencompass.md:120
msgid ""
"You can see more usage on [OpenCompass "
"Docs](https://opencompass.readthedocs.io/en/latest/index.html)."
msgstr ""
"你可以在 [OpenCompass "
"文档](https://opencompass.readthedocs.io/en/latest/index.html) 查看更多用法。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/feature_guide/index.md:1
#: ../../developer_guide/feature_guide/index.md:5
msgid "Feature Guide"
msgstr "功能指南"
#: ../../developer_guide/feature_guide/index.md:3
msgid ""
"This section provides an overview of the features implemented in vLLM "
"Ascend. Developers can refer to this guide to understand how vLLM Ascend "
"works."
msgstr "本节概述了 vLLM Ascend 中实现的功能。开发者可以参考本指南以了解 vLLM Ascend 的工作原理。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/feature_guide/patch.md:1
msgid "Patch in vLLM Ascend"
msgstr "在 vLLM Ascend 中的补丁"
#: ../../developer_guide/feature_guide/patch.md:3
msgid ""
"vLLM Ascend is a platform plugin for vLLM. Due to the release cycle of vLLM "
"and vLLM Ascend is different, and the hardware limitation in some case, we "
"need to patch some code in vLLM to make it compatible with vLLM Ascend."
msgstr ""
"vLLM Ascend 是 vLLM 的一个平台插件。由于 vLLM 和 vLLM Ascend "
"的发布周期不同，并且在某些情况下存在硬件限制，我们需要对 vLLM 进行一些代码补丁，以使其能够兼容 vLLM Ascend。"
#: ../../developer_guide/feature_guide/patch.md:5
msgid ""
"In vLLM Ascend code, we provide a patch module `vllm_ascend/patch` to "
"address the change for vLLM."
msgstr "在 vLLM Ascend 代码中，我们提供了一个补丁模块 `vllm_ascend/patch` 用于应对 vLLM 的变更。"
#: ../../developer_guide/feature_guide/patch.md:7
msgid "Principle"
msgstr "原理"
#: ../../developer_guide/feature_guide/patch.md:9
msgid ""
"We should keep in mind that Patch is not the best way to make vLLM Ascend "
"compatible. It's just a temporary solution. The best way is to contribute "
"the change to vLLM to make it compatible with vLLM Ascend originally. In "
"vLLM Ascend, we have the basic principle for Patch strategy:"
msgstr ""
"我们需要记住，Patch 不是让 vLLM 兼容 Ascend 的最佳方式，这只是一个临时的解决方案。最好的方法是将修改贡献到 vLLM 项目中，从而让"
" vLLM 原生支持 Ascend。对于 vLLM Ascend，我们对 Patch 策略有一个基本原则："
#: ../../developer_guide/feature_guide/patch.md:11
msgid "Less is more. Please do not patch unless it's the only way currently."
msgstr "少即是多。请不要打补丁，除非这是目前唯一的方法。"
#: ../../developer_guide/feature_guide/patch.md:12
msgid ""
"Once a patch is added, it's required to describe the future plan for "
"removing the patch."
msgstr "一旦补丁被添加，必须说明将来移除该补丁的计划。"
#: ../../developer_guide/feature_guide/patch.md:13
msgid "Anytime, clean the patch code is welcome."
msgstr "任何时候，欢迎清理补丁代码。"
#: ../../developer_guide/feature_guide/patch.md:15
msgid "How it works"
msgstr "工作原理"
#: ../../developer_guide/feature_guide/patch.md:17
msgid "In `vllm_ascend/patch`, you can see the code structure as follows:"
msgstr "在 `vllm_ascend/patch` 目录中，你可以看到如下代码结构："
#: ../../developer_guide/feature_guide/patch.md:33
msgid ""
"**platform**: The patch code in this directory is for patching the code in "
"vLLM main process. It's called by "
"`vllm_ascend/platform::NPUPlatform::pre_register_and_update` very early when"
" vLLM is initialized."
msgstr ""
"**platform**：此目录下的补丁代码用于修补 vLLM 主进程中的代码。当 vLLM 初始化时，会在很早的阶段由 "
"`vllm_ascend/platform::NPUPlatform::pre_register_and_update` 调用。"
#: ../../developer_guide/feature_guide/patch.md:34
msgid ""
"For online mode, vLLM process calls the platform patch here "
"`vllm/vllm/engine/arg_utils.py::AsyncEngineArgs.add_cli_args` when parsing "
"the cli args."
msgstr ""
"对于在线模式，vLLM 进程在解析命令行参数时，会在 "
"`vllm/vllm/engine/arg_utils.py::AsyncEngineArgs.add_cli_args` 这里调用平台补丁。"
#: ../../developer_guide/feature_guide/patch.md:35
msgid ""
"For offline mode, vLLM process calls the platform patch here "
"`vllm/vllm/engine/arg_utils.py::EngineArgs.create_engine_config` when "
"parsing the input parameters."
msgstr ""
"对于离线模式，vLLM 进程在解析输入参数时，会在此处调用平台补丁 "
"`vllm/vllm/engine/arg_utils.py::EngineArgs.create_engine_config`。"
#: ../../developer_guide/feature_guide/patch.md:36
msgid ""
"**worker**: The patch code in this directory is for patching the code in "
"vLLM worker process. It's called by "
"`vllm_ascend/worker/worker_v1::NPUWorker::__init__` when the vLLM worker "
"process is initialized."
msgstr ""
"**worker**：此目录中的补丁代码用于修补 vLLM worker 进程中的代码。在初始化 vLLM worker 进程时，会被 "
"`vllm_ascend/worker/worker_v1::NPUWorker::__init__` 调用。"
#: ../../developer_guide/feature_guide/patch.md:37
msgid ""
"For both online and offline mode, vLLM engine core process calls the worker "
"patch here `vllm/vllm/worker/worker_base.py::WorkerWrapperBase.init_worker` "
"when initializing the worker process."
msgstr ""
"无论是在线还是离线模式，vLLM 引擎核心进程在初始化 worker 进程时，都会在这里调用 worker "
"补丁：`vllm/vllm/worker/worker_base.py::WorkerWrapperBase.init_worker`。"
#: ../../developer_guide/feature_guide/patch.md:39
msgid ""
"In both **platform** and **worker** folder, there are several patch modules."
" They are used for patching different version of vLLM."
msgstr "在 **platform** 和 **worker** 文件夹中都有一些补丁模块。它们用于修补不同版本的 vLLM。"
#: ../../developer_guide/feature_guide/patch.md:41
msgid ""
"`patch_0_9_2`: This module is used for patching vLLM 0.9.2. The version is "
"always the nearest version of vLLM. Once vLLM is released, we will drop this"
" patch module and bump to a new version. For example, `patch_0_9_2` is used "
"for patching vLLM 0.9.2."
msgstr ""
"`patch_0_9_2`：此模块用于修补 vLLM 0.9.2。该版本始终对应于 vLLM 的最近版本。一旦 vLLM "
"发布新版本，我们将移除此补丁模块并升级到新版本。例如，`patch_0_9_2` 就是用于修补 vLLM 0.9.2 的。"
#: ../../developer_guide/feature_guide/patch.md:42
msgid ""
"`patch_main`: This module is used for patching the code in vLLM main branch."
msgstr "`patch_main`：该模块用于修补 vLLM 主分支代码。"
#: ../../developer_guide/feature_guide/patch.md:43
msgid ""
"`patch_common`: This module is used for patching both vLLM 0.9.2 and vLLM "
"main branch."
msgstr "`patch_common`：此模块用于同时修补 vLLM 0.9.2 版本和 vLLM 主分支。"
#: ../../developer_guide/feature_guide/patch.md:45
msgid "How to write a patch"
msgstr "如何撰写补丁"
#: ../../developer_guide/feature_guide/patch.md:47
msgid ""
"Before writing a patch, following the principle above, we should patch the "
"least code. If it's necessary, we can patch the code in either **platform** "
"and **worker** folder. Here is an example to patch `distributed` module in "
"vLLM."
msgstr ""
"在编写补丁之前，遵循上述原则，我们应尽量修改最少的代码。如果有必要，我们可以修改 **platform** 和 **worker** "
"文件夹中的代码。下面是一个在 vLLM 中修改 `distributed` 模块的示例。"
#: ../../developer_guide/feature_guide/patch.md:49
msgid ""
"Decide which version of vLLM we should patch. For example, after analysis, "
"here we want to patch both 0.9.2 and main of vLLM."
msgstr "决定我们应该修补哪个版本的 vLLM。例如，经过分析后，这里我们想要同时修补 vLLM 的 0.9.2 版和主分支（main）。"
#: ../../developer_guide/feature_guide/patch.md:50
msgid ""
"Decide which process we should patch. For example, here `distributed` "
"belongs to the vLLM main process, so we should patch `platform`."
msgstr "决定我们应该修补哪个进程。例如，这里 `distributed` 属于 vLLM 主进程，所以我们应该修补 `platform`。"
#: ../../developer_guide/feature_guide/patch.md:51
#, python-brace-format
msgid ""
"Create the patch file in the right folder. The file should be named as "
"`patch_{module_name}.py`. The example here is "
"`vllm_ascend/patch/platform/patch_common/patch_distributed.py`."
msgstr ""
"在正确的文件夹中创建补丁文件。文件应命名为 `patch_{module_name}.py`。此处的示例是 "
"`vllm_ascend/patch/platform/patch_common/patch_distributed.py`。"
#: ../../developer_guide/feature_guide/patch.md:52
msgid "Write your patch code in the new file. Here is an example:"
msgstr "在新文件中编写你的补丁代码。以下是一个示例："
#: ../../developer_guide/feature_guide/patch.md:62
msgid ""
"Import the patch file in `__init__.py`. In this example, add `import "
"vllm_ascend.patch.platform.patch_common.patch_distributed` into "
"`vllm_ascend/patch/platform/patch_common/__init__.py`."
msgstr ""
"在 `__init__.py` 中导入补丁文件。在这个示例中，将 `import "
"vllm_ascend.patch.platform.patch_common.patch_distributed` 添加到 "
"`vllm_ascend/patch/platform/patch_common/__init__.py` 中。"
#: ../../developer_guide/feature_guide/patch.md:63
msgid ""
"Add the description of the patch in `vllm_ascend/patch/__init__.py`. The "
"description format is as follows:"
msgstr "在 `vllm_ascend/patch/__init__.py` 中添加补丁的描述。描述格式如下："
#: ../../developer_guide/feature_guide/patch.md:77
msgid ""
"Add the Unit Test and E2E Test. Any newly added code in vLLM Ascend should "
"contain the Unit Test and E2E Test as well. You can find more details in "
"[test guide](../contribution/testing.md)"
msgstr ""
"添加单元测试和端到端（E2E）测试。在 vLLM Ascend 中新增的任何代码也应包含单元测试和端到端测试。更多详情请参见 "
"[测试指南](../contribution/testing.md)。"
#: ../../developer_guide/feature_guide/patch.md:80
msgid "Limitation"
msgstr "限制"
#: ../../developer_guide/feature_guide/patch.md:81
msgid ""
"In V1 Engine, vLLM starts three kinds of process: Main process, EngineCore "
"process and Worker process. Now vLLM Ascend only support patch the code in "
"Main process and Worker process by default. If you want to patch the code "
"runs in EngineCore process, you should patch EngineCore process entirely "
"during setup, the entry code is here `vllm.v1.engine.core`. Please override "
"`EngineCoreProc` and `DPEngineCoreProc` entirely."
msgstr ""
"在 V1 引擎中，vLLM 会启动三种类型的进程：主进程、EngineCore 进程和 Worker 进程。现在 vLLM Ascend "
"默认只支持在主进程和 Worker 进程中打补丁代码。如果你想要在 EngineCore 进程中打补丁，你需要在设置阶段对 EngineCore "
"进程整体打补丁，入口代码在 `vllm.v1.engine.core`。请完全重写 `EngineCoreProc` 和 "
"`DPEngineCoreProc`。"
#: ../../developer_guide/feature_guide/patch.md:82
msgid ""
"If you are running an edited vLLM code, the version of the vLLM may be "
"changed automatically. For example, if you runs an edited vLLM based on "
"v0.9.n, the version of vLLM may be change to v0.9.nxxx, in this case, the "
"patch for v0.9.n in vLLM Ascend would not work as expect, because that vLLM "
"Ascend can't distinguish the version of vLLM you're using. In this case, you"
" can set the environment variable `VLLM_VERSION` to specify the version of "
"vLLM you're using, then the patch for v0.9.2 should work."
msgstr ""
"如果你运行的是经过编辑的 vLLM 代码，vLLM 的版本可能会被自动更改。例如，如果你基于 v0.9.n 运行了编辑后的 vLLM，vLLM "
"的版本可能会变为 v0.9.nxxx，在这种情况下，vLLM Ascend 的 v0.9.n 补丁将无法正常工作，因为 vLLM Ascend "
"无法区分你所使用的 vLLM 版本。这时，你可以设置环境变量 `VLLM_VERSION` 来指定你所使用的 vLLM 版本，这样对 v0.9.2 "
"的补丁就应该可以正常工作。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/modeling/adding_a_new_model.md:1
msgid "Adding a New Model"
msgstr "添加新模型"
#: ../../developer_guide/modeling/adding_a_new_model.md:3
msgid ""
"This guide demonstrates how to integrate a novel or customized model into "
"vllm-ascend. For foundational concepts, it is highly recommended to refer to"
" [vllm official doc: Adding a New "
"Model](https://docs.vllm.ai/en/stable/contributing/model/) first."
msgstr ""
"本指南演示如何将新颖或自定义的模型集成到 vllm-ascend 中。对于基础概念，强烈建议先参考 [vllm "
"官方文档：添加新模型](https://docs.vllm.ai/en/stable/contributing/model/)。"
#: ../../developer_guide/modeling/adding_a_new_model.md:6
msgid "Step 1: Implementing Models with `torch` and `torch_npu`"
msgstr "步骤 1：使用 `torch` 和 `torch_npu` 实现模型"
#: ../../developer_guide/modeling/adding_a_new_model.md:8
msgid ""
"This section provides instructions for implementing new models compatible "
"with vllm and vllm-ascend."
msgstr "本节提供了实现与 vllm 和 vllm-ascend 兼容的新模型的相关说明。"
#: ../../developer_guide/modeling/adding_a_new_model.md:10
msgid "**Before starting:**"
msgstr "**开始之前：**"
#: ../../developer_guide/modeling/adding_a_new_model.md:12
msgid ""
"Verify whether your model already exists in vllm's "
"[models](https://github.com/vllm-"
"project/vllm/tree/main/vllm/model_executor/models) directory."
msgstr ""
"请确认你的模型是否已经存在于 vllm 的 [models](https://github.com/vllm-"
"project/vllm/tree/main/vllm/model_executor/models) 目录中。"
#: ../../developer_guide/modeling/adding_a_new_model.md:13
msgid ""
"Use existing models' implementation as templates to accelerate your "
"development."
msgstr "使用已有模型的实现作为模板以加速您的开发。"
#: ../../developer_guide/modeling/adding_a_new_model.md:15
msgid "Method 1: Implementing New Models from Scratch"
msgstr "方法一：从零开始实现新模型"
#: ../../developer_guide/modeling/adding_a_new_model.md:17
msgid ""
"Follow vllm's [OPT model "
"adaptation](https://docs.vllm.ai/en/stable/contributing/model/basic.html) "
"example for guidance."
msgstr ""
"请参考 vllm 的 [OPT "
"模型适配](https://docs.vllm.ai/en/stable/contributing/model/basic.html) 示例进行操作。"
#: ../../developer_guide/modeling/adding_a_new_model.md:19
msgid "**Key implementation requirements:**"
msgstr "**关键实现要求：**"
#: ../../developer_guide/modeling/adding_a_new_model.md:21
msgid "Place model files in `vllm_ascend/models/` directory."
msgstr "请将模型文件放在 `vllm_ascend/models/` 目录下。"
#: ../../developer_guide/modeling/adding_a_new_model.md:23
msgid ""
"Standard module structure for decoder-only LLMs (please checkout vllm's "
"implementations for other kinds of model):"
msgstr "解码器-only LLMs 的标准模块结构（请参考 vllm 对其他类型模型的实现）："
#: ../../developer_guide/modeling/adding_a_new_model.md:25
msgid "`*ModelForCausalLM` (top-level wrapper)"
msgstr "`*ModelForCausalLM`（顶层包装器）"
#: ../../developer_guide/modeling/adding_a_new_model.md:26
msgid "`*Model` (main architecture)"
msgstr "`*Model`（主架构）"
#: ../../developer_guide/modeling/adding_a_new_model.md:27
msgid "`*DecoderLayer` (transformer block)"
msgstr "`*DecoderLayer` （transformer 块）"
#: ../../developer_guide/modeling/adding_a_new_model.md:28
msgid "`*Attention` and `*MLP` (specific computation unit)"
msgstr "`*Attention` 和 `*MLP`（特定计算单元）"
#: ../../developer_guide/modeling/adding_a_new_model.md:31
msgid "`*` denotes your model's unique identifier."
msgstr "`*` 表示你的模型的唯一标识符。"
#: ../../developer_guide/modeling/adding_a_new_model.md:34
msgid "Critical Implementation Details:"
msgstr "关键实现细节："
#: ../../developer_guide/modeling/adding_a_new_model.md:36
msgid "All modules must include a `prefix` argument in `__init__()`."
msgstr "所有模块在 `__init__()` 方法中都必须包含一个 `prefix` 参数。"
#: ../../developer_guide/modeling/adding_a_new_model.md:38
msgid "**Required interfaces:**"
msgstr "**必需的接口：**"
#: ../../developer_guide/modeling/adding_a_new_model.md:30
msgid "Module Type"
msgstr "模块类型"
#: ../../developer_guide/modeling/adding_a_new_model.md:30
msgid "Required Methods"
msgstr "必需的方法"
#: ../../developer_guide/modeling/adding_a_new_model.md:30
msgid "`*ModelForCausalLM`"
msgstr "`*ModelForCausalLM`"
#: ../../developer_guide/modeling/adding_a_new_model.md:30
msgid "`get_input_embeddings`, `compute_logits`, `load_weights`"
msgstr "`get_input_embeddings`，`compute_logits`，`load_weights`"
#: ../../developer_guide/modeling/adding_a_new_model.md:30
msgid "`*Model`"
msgstr "`*模型`"
#: ../../developer_guide/modeling/adding_a_new_model.md:30
msgid "`get_input_embeddings`, `load_weights`"
msgstr "`get_input_embeddings`，`load_weights`"
#: ../../developer_guide/modeling/adding_a_new_model.md:45
msgid "Attention Backend Integration:"
msgstr "注意后端集成："
#: ../../developer_guide/modeling/adding_a_new_model.md:47
msgid ""
"Importing attention via `from vllm.attention import Attention` can "
"automatically leverage the attention backend routing of vllm-ascend (see: "
"`get_attn_backend_cls()` in `vllm_ascend/platform.py`)."
msgstr ""
"通过 `from vllm.attention import Attention` 导入 attention 可以自动利用 vllm-ascend "
"的注意力后端路由（详见：`vllm_ascend/platform.py` 中的 `get_attn_backend_cls()`）。"
#: ../../developer_guide/modeling/adding_a_new_model.md:49
msgid "Tensor Parallelism:"
msgstr "张量并行："
#: ../../developer_guide/modeling/adding_a_new_model.md:51
msgid ""
"Use vllm's parallel layers (`ColumnParallelLinear`, "
"`VocabParallelEmbedding`, etc.) to implement models supporting tensor "
"parallelism. Note that Ascend-specific customizations are implemented in "
"`vllm_ascend/ops/` directory (RMSNorm, VocabParallelEmbedding, etc.)."
msgstr ""
"使用 vllm 的并行层（如 `ColumnParallelLinear`、`VocabParallelEmbedding` "
"等）来实现支持张量并行的模型。需要注意的是，Ascend 特有的自定义实现（如 RMSNorm、VocabParallelEmbedding 等）位于 "
"`vllm_ascend/ops/` 目录下。"
#: ../../developer_guide/modeling/adding_a_new_model.md:53
msgid ""
"**Reference Implementation Template** (assumed path: "
"`vllm_ascend/models/custom_model.py`):"
msgstr "**参考实现模板**（假定路径：`vllm_ascend/models/custom_model.py`）："
#: ../../developer_guide/modeling/adding_a_new_model.md:135
msgid "Method 2: Customizing Existing vLLM Models"
msgstr "方法二：自定义已有的 vLLM 模型"
#: ../../developer_guide/modeling/adding_a_new_model.md:137
msgid ""
"For most use cases, extending existing implementations is preferable. We "
"demonstrate an example to inherit from base classes and implement a custom "
"deepseek model below (assumed path: `vllm_ascend/models/deepseek_v2.py`)."
msgstr ""
"对于大多数使用场景，建议扩展已有的实现。我们在下面演示了一个示例，通过继承基类并实现一个自定义的 deepseek "
"模型（假定路径：`vllm_ascend/models/deepseek_v2.py`）。"
#: ../../developer_guide/modeling/adding_a_new_model.md:175
msgid ""
"For a complete implementation reference, see: "
"`vllm_ascend/models/deepseek_v2.py`."
msgstr "完整的实现参考请见：`vllm_ascend/models/deepseek_v2.py`。"
#: ../../developer_guide/modeling/adding_a_new_model.md:178
msgid "Step 2: Registering Custom Models using ModelRegistry Plugins in vLLM"
msgstr "第2步：使用 vLLM 中的 ModelRegistry 插件注册自定义模型"
#: ../../developer_guide/modeling/adding_a_new_model.md:180
msgid ""
"vllm provides a plugin mechanism for registering externally implemented "
"models without modifying its codebase."
msgstr "vllm 提供了一种插件机制，可用于注册外部实现的模型，而无需修改其代码库。"
#: ../../developer_guide/modeling/adding_a_new_model.md:182
msgid ""
"To integrate your implemented model from `vllm_ascend/models/` directory:"
msgstr "要集成你在 `vllm_ascend/models/` 目录下实现的模型："
#: ../../developer_guide/modeling/adding_a_new_model.md:184
msgid ""
"Import your model implementation in `vllm_ascend/models/__init__.py` using "
"relative imports."
msgstr "使用相对导入在 `vllm_ascend/models/__init__.py` 中导入你的模型实现。"
#: ../../developer_guide/modeling/adding_a_new_model.md:185
msgid ""
"Register the model wrapper class via `vllm.ModelRegistry.register_model()` "
"function."
msgstr "通过 `vllm.ModelRegistry.register_model()` 函数注册模型包装类。"
#: ../../developer_guide/modeling/adding_a_new_model.md:187
msgid ""
"**Reference Registration Template** (an example of registering new models in"
" `vllm_ascend/models/__init__.py`):"
msgstr "**参考注册模板**（在 `vllm_ascend/models/__init__.py` 注册新模型的示例）："
#: ../../developer_guide/modeling/adding_a_new_model.md:210
msgid ""
"The first argument of `vllm.ModelRegistry.register_model()` indicates the "
"unique architecture identifier which must match `architectures` in "
"`config.json` of the model."
msgstr ""
"`vllm.ModelRegistry.register_model()` 的第一个参数表示唯一的架构标识符，这个标识符必须与模型的 "
"`config.json` 文件中的 `architectures` 匹配。"
#: ../../developer_guide/modeling/adding_a_new_model.md:221
msgid "Step 3: Verification"
msgstr "第 3 步：验证"
#: ../../developer_guide/modeling/adding_a_new_model.md:223
msgid "Case 1: Overriding Existing vLLM Model Architecture"
msgstr "案例 1：重载已有的 vLLM 模型架构"
#: ../../developer_guide/modeling/adding_a_new_model.md:225
msgid ""
"If you're registering a customized model architecture based on vllm's "
"existing implementation (overriding vllm's original class), when executing "
"vllm offline/online inference (using any model), you'll observe warning logs"
" similar to the following output from "
"`vllm/models_executor/models/registry.py`."
msgstr ""
"如果你基于 vllm 的现有实现注册了一个自定义的模型架构（覆盖了 vllm 的原始类），在执行 vllm "
"的离线/在线推理（无论使用哪个模型）时，你会看到类似于 `vllm/models_executor/models/registry.py` "
"输出的警告日志。"
#: ../../developer_guide/modeling/adding_a_new_model.md:231
msgid "Case 2: Registering New Model Architecture"
msgstr "案例2：注册新模型架构"
#: ../../developer_guide/modeling/adding_a_new_model.md:233
msgid ""
"If you're registering a novel model architecture not present in vllm "
"(creating a completely new class), current logs won't provide explicit "
"confirmation by default. It's recommended to add the following logging "
"statement at the end of the `register_model` method in "
"`vllm/models_executor/models/registry.py`."
msgstr ""
"如果你注册了 vllm 中不存在的新模型架构（创建一个全新的类），当前日志默认不会提供明确的确认信息。建议在 "
"`vllm/models_executor/models/registry.py` 文件中的 `register_model` "
"方法末尾添加如下日志语句。"
#: ../../developer_guide/modeling/adding_a_new_model.md:239
msgid ""
"After adding this line, you will see confirmation logs shown below when "
"running vllm offline/online inference (using any model)."
msgstr "添加这一行之后，当你运行 vllm 离线/在线推理（使用任何模型）时，将会看到如下确认日志。"
#: ../../developer_guide/modeling/adding_a_new_model.md:245
msgid ""
"This log output confirms your novel model architecture has been successfully"
" registered in vllm."
msgstr "该日志输出确认了你的新模型架构已成功在 vllm 中注册。"
#: ../../developer_guide/modeling/adding_a_new_model.md:247
msgid "Step 4: Testing"
msgstr "第4步：测试"
#: ../../developer_guide/modeling/adding_a_new_model.md:249
msgid ""
"After adding a new model, we should do basic functional test (offline/online"
" inference), accuracy test and performance benchmark for the model."
msgstr "在添加新模型后，我们应对该模型进行基本功能测试（离线/在线推理）、准确率测试和性能基准测试。"
#: ../../developer_guide/modeling/adding_a_new_model.md:251
msgid "Find more details at:"
msgstr "更多详情请见："
#: ../../developer_guide/modeling/adding_a_new_model.md:253
msgid ""
"[Accuracy test guide](https://vllm-"
"ascend.readthedocs.io/en/latest/developer_guide/evaluation/index.html)"
msgstr ""
"[精度测试指南](https://vllm-"
"ascend.readthedocs.io/en/latest/developer_guide/evaluation/index.html)"
#: ../../developer_guide/modeling/adding_a_new_model.md:254
msgid ""
"[Performance benchmark guide](https://vllm-"
"ascend.readthedocs.io/en/latest/developer_guide/performance/performance_benchmark.html)"
msgstr ""
"[性能基准指南](https://vllm-"
"ascend.readthedocs.io/en/latest/developer_guide/performance/performance_benchmark.html)"
#: ../../developer_guide/modeling/adding_a_new_model.md:256
msgid "Step 5: Updating Supported Models Doc"
msgstr "第5步：更新支持的模型文档"
#: ../../developer_guide/modeling/adding_a_new_model.md:258
msgid ""
"At last, if all the steps above are completed, you should add the new model "
"into our [Supported Models](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/supported_models.html) doc."
msgstr ""
"最后，如果以上所有步骤都已完成，你应该将新模型添加到我们的[支持的模型](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/supported_models.html)文档中。"

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@@ -0,0 +1,29 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/modeling/adding_a_new_multimodal_model.md:1
msgid "Adding a New Multi-Modal Model"
msgstr "添加新的多模态模型"
#: ../../developer_guide/modeling/adding_a_new_multimodal_model.md:3
msgid "**_Comming soon ..._**"
msgstr "**_敬请期待 ..._**"

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@@ -0,0 +1,32 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/modeling/index.md:1
#: ../../developer_guide/modeling/index.md:5
msgid "Modeling"
msgstr "新模型"
#: ../../developer_guide/modeling/index.md:3
msgid ""
"This section provides tutorials of how to implement and register a new model"
" into vllm-ascend."
msgstr "本节提供了如何在 vllm-ascend 中实现并注册新模型的教程。"

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@@ -0,0 +1,26 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/performance/index.md:1
#: ../../developer_guide/performance/index.md:3
msgid "Performance"
msgstr "性能"

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@@ -0,0 +1,88 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/performance/performance_benchmark.md:1
msgid "Performance Benchmark"
msgstr "性能基准"
#: ../../developer_guide/performance/performance_benchmark.md:2
msgid ""
"This document details the benchmark methodology for vllm-ascend, aimed at "
"evaluating the performance under a variety of workloads. To maintain "
"alignment with vLLM, we use the [benchmark](https://github.com/vllm-"
"project/vllm/tree/main/benchmarks) script provided by the vllm project."
msgstr ""
"本文档详细说明了 vllm-ascend 的基准测试方法，旨在评估其在多种工作负载下的性能。为了与 vLLM 保持一致，我们使用 vllm 项目提供的 "
"[benchmark](https://github.com/vllm-project/vllm/tree/main/benchmarks) 脚本。"
#: ../../developer_guide/performance/performance_benchmark.md:4
msgid ""
"**Benchmark Coverage**: We measure offline e2e latency and throughput, and "
"fixed-QPS online serving benchmarks, for more details see [vllm-ascend "
"benchmark scripts](https://github.com/vllm-project/vllm-"
"ascend/tree/main/benchmarks)."
msgstr ""
"**基准测试覆盖范围**：我们测量离线端到端延迟和吞吐量，以及固定 QPS 的在线服务基准测试。更多详情请参见 [vllm-ascend "
"基准测试脚本](https://github.com/vllm-project/vllm-ascend/tree/main/benchmarks)。"
#: ../../developer_guide/performance/performance_benchmark.md:6
msgid "1. Run docker container"
msgstr "1. 运行 docker 容器"
#: ../../developer_guide/performance/performance_benchmark.md:31
msgid "2. Install dependencies"
msgstr "2. 安装依赖项"
#: ../../developer_guide/performance/performance_benchmark.md:38
msgid "3. (Optional)Prepare model weights"
msgstr "3.（可选）准备模型权重"
#: ../../developer_guide/performance/performance_benchmark.md:39
msgid ""
"For faster running speed, we recommend downloading the model in advance："
msgstr "为了更快的运行速度，建议提前下载模型："
#: ../../developer_guide/performance/performance_benchmark.md:44
msgid ""
"You can also replace all model paths in the [json](https://github.com/vllm-"
"project/vllm-ascend/tree/main/benchmarks/tests) files with your local paths:"
msgstr ""
"你也可以将 [json](https://github.com/vllm-project/vllm-"
"ascend/tree/main/benchmarks/tests) 文件中的所有模型路径替换为你的本地路径："
#: ../../developer_guide/performance/performance_benchmark.md:60
msgid "4. Run benchmark script"
msgstr "4. 运行基准测试脚本"
#: ../../developer_guide/performance/performance_benchmark.md:61
msgid "Run benchmark script:"
msgstr "运行基准测试脚本："
#: ../../developer_guide/performance/performance_benchmark.md:66
msgid "After about 10 mins, the output is as shown below:"
msgstr "大约 10 分钟后，输出如下所示："
#: ../../developer_guide/performance/performance_benchmark.md:176
msgid ""
"The result json files are generated into the path `benchmark/results` These "
"files contain detailed benchmarking results for further analysis."
msgstr "结果 json 文件会生成到路径 `benchmark/results`。这些文件包含了用于进一步分析的详细基准测试结果。"

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@@ -0,0 +1,81 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../developer_guide/performance/profile_execute_duration.md:1
msgid "Profile Execute Duration"
msgstr "配置执行持续时间"
#: ../../developer_guide/performance/profile_execute_duration.md:3
msgid ""
"The execution duration of each stage (including pre/post-processing, model "
"forward, etc.) usually needs to be captured during a complete inference "
"process. Typically, this is done by using `torch.npu.synchronize()` and "
"obtaining CPU timestamps, which increases the performance overhead of "
"host/device synchronization."
msgstr ""
"在完整的推理过程中，通常需要记录每个阶段（包括前/后处理、模型前向等）的执行时长。一般通过使用 `torch.npu.synchronize()` "
"并获取 CPU 时间戳来实现，这会增加主机/设备同步的性能开销。"
#: ../../developer_guide/performance/profile_execute_duration.md:5
msgid ""
"**To reduce the performance overhead, we add this feature, using the NPU "
"event timestamp mechanism to observe the device execution time "
"asynchronously.**"
msgstr "**为了减少性能开销，我们添加了此功能，使用 NPU 事件时间戳机制异步观测设备的执行时间。**"
#: ../../developer_guide/performance/profile_execute_duration.md:7
msgid "Usage"
msgstr "用法"
#: ../../developer_guide/performance/profile_execute_duration.md:8
msgid ""
"Use the environment variable `VLLM_ASCEND_MODEL_EXECUTE_TIME_OBSERVE` to "
"enable this feature."
msgstr "使用环境变量 `VLLM_ASCEND_MODEL_EXECUTE_TIME_OBSERVE` 来启用此功能。"
#: ../../developer_guide/performance/profile_execute_duration.md:9
msgid ""
"Use the non-blocking API `ProfileExecuteDuration().capture_async` to set "
"observation points asynchronously when you need to observe the execution "
"duration."
msgstr ""
"当你需要观察执行时长时，可以使用非阻塞 API `ProfileExecuteDuration().capture_async` 异步设置观察点。"
#: ../../developer_guide/performance/profile_execute_duration.md:10
msgid ""
"Use the blocking API `ProfileExecuteDuration().pop_captured_sync` at an "
"appropriate time to get and print the execution durations of all observed "
"stages."
msgstr ""
"在适当的时机使用阻塞式 API `ProfileExecuteDuration().pop_captured_sync` "
"获取并打印所有已观察到阶段的执行时长。"
#: ../../developer_guide/performance/profile_execute_duration.md:12
msgid ""
"**We have instrumented the key inference stages (including pre-processing, "
"model forward pass, etc.) for execute duration profiling. Execute the script"
" as follows:**"
msgstr "**我们已经对关键的推理阶段（包括预处理、模型前向传递等）进行了执行时长分析的检测。请按如下方式执行脚本：**"
#: ../../developer_guide/performance/profile_execute_duration.md:17
msgid "Example Output"
msgstr "示例输出"

479
docs/source/locale/zh_CN/LC_MESSAGES/faqs.po Normal file
View File

@@ -0,0 +1,479 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../faqs.md:1
msgid "FAQs"
msgstr ""
#: ../../faqs.md:3
msgid "Version Specific FAQs"
msgstr "特定版本常见问题"
#: ../../faqs.md:5
msgid ""
"[[v0.7.3.post1] FAQ & Feedback](https://github.com/vllm-project/vllm-"
"ascend/issues/1007)"
msgstr ""
"[[v0.7.3.post1] 常见问题与反馈](https://github.com/vllm-project/vllm-"
"ascend/issues/1007)"
#: ../../faqs.md:6
msgid ""
"[[v0.9.2rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-"
"ascend/issues/1742)"
msgstr ""
"[[v0.9.2rc1] 常见问题与反馈](https://github.com/vllm-project/vllm-"
"ascend/issues/1742)"
#: ../../faqs.md:8
msgid "General FAQs"
msgstr "常见问题解答"
#: ../../faqs.md:10
msgid "1. What devices are currently supported?"
msgstr "1. 目前支持哪些设备？"
#: ../../faqs.md:12
msgid ""
"Currently, **ONLY** Atlas A2 series(Ascend-cann-kernels-910b) and Atlas "
"300I(Ascend-cann-kernels-310p) series are supported:"
msgstr ""
"目前，**仅**支持 Atlas A2 系列（Ascend-cann-kernels-910b）和 Atlas 300I（Ascend-cann-"
"kernels-310p）系列："
#: ../../faqs.md:14
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）"
#: ../../faqs.md:15
msgid "Atlas 800I A2 Inference series (Atlas 800I A2)"
msgstr "Atlas 800I A2 推理系列（Atlas 800I A2）"
#: ../../faqs.md:16
msgid "Atlas 300I Inference series (Atlas 300I Duo)"
msgstr "Atlas 300I 推理系列（Atlas 300I Duo）"
#: ../../faqs.md:18
msgid "Below series are NOT supported yet:"
msgstr "以下系列目前尚不受支持："
#: ../../faqs.md:19
msgid "Atlas 200I A2 (Ascend-cann-kernels-310b) unplanned yet"
msgstr "Atlas 200I A2（Ascend-cann-kernels-310b）尚未计划"
#: ../../faqs.md:20
msgid "Ascend 910, Ascend 910 Pro B (Ascend-cann-kernels-910) unplanned yet"
msgstr "Ascend 910，Ascend 910 Pro B（Ascend-cann-kernels-910）尚未计划"
#: ../../faqs.md:22
msgid ""
"From a technical view, vllm-ascend support would be possible if the torch-"
"npu is supported. Otherwise, we have to implement it by using custom ops. We"
" are also welcome to join us to improve together."
msgstr ""
"从技术角度来看，如果支持 torch-npu，则可以支持 vllm-ascend。否则，我们需要通过自定义算子来实现。我们也欢迎大家一起加入，共同改进。"
#: ../../faqs.md:24
msgid "2. How to get our docker containers?"
msgstr "2. 如何获取我们的 docker 容器？"
#: ../../faqs.md:26
msgid ""
"You can get our containers at `Quay.io`, e.g., [<u>vllm-"
"ascend</u>](https://quay.io/repository/ascend/vllm-ascend?tab=tags) and "
"[<u>cann</u>](https://quay.io/repository/ascend/cann?tab=tags)."
msgstr ""
"你可以在 `Quay.io` 获取我们的容器，例如，[<u>vllm-"
"ascend</u>](https://quay.io/repository/ascend/vllm-ascend?tab=tags) 和 "
"[<u>cann</u>](https://quay.io/repository/ascend/cann?tab=tags)。"
#: ../../faqs.md:28
msgid ""
"If you are in China, you can use `daocloud` to accelerate your downloading:"
msgstr "如果你在中国，可以使用 `daocloud` 来加速下载："
#: ../../faqs.md:36
msgid "3. What models does vllm-ascend supports?"
msgstr "3. vllm-ascend 支持哪些模型？"
#: ../../faqs.md:38
msgid ""
"Find more details [<u>here</u>](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/support_matrix/supported_models.html)."
msgstr ""
"在[<u>此处</u>](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/support_matrix/supported_models.html)查看更多详细信息。"
#: ../../faqs.md:40
msgid "4. How to get in touch with our community?"
msgstr "4. 如何与我们的社区取得联系？"
#: ../../faqs.md:42
msgid ""
"There are many channels that you can communicate with our community "
"developers / users:"
msgstr "你可以通过多种渠道与我们的社区开发者/用户进行交流："
#: ../../faqs.md:44
msgid ""
"Submit a GitHub [<u>issue</u>](https://github.com/vllm-project/vllm-"
"ascend/issues?page=1)."
msgstr ""
"提交一个 GitHub [<u>issue</u>](https://github.com/vllm-project/vllm-"
"ascend/issues?page=1)。"
#: ../../faqs.md:45
msgid ""
"Join our [<u>weekly "
"meeting</u>](https://docs.google.com/document/d/1hCSzRTMZhIB8vRq1_qOOjx4c9uYUxvdQvDsMV2JcSrw/edit?tab=t.0#heading=h.911qu8j8h35z)"
" and share your ideas."
msgstr ""
"加入我们的[<u>每周会议</u>](https://docs.google.com/document/d/1hCSzRTMZhIB8vRq1_qOOjx4c9uYUxvdQvDsMV2JcSrw/edit?tab=t.0#heading=h.911qu8j8h35z)，并分享你的想法。"
#: ../../faqs.md:46
msgid ""
"Join our [<u>WeChat</u>](https://github.com/vllm-project/vllm-"
"ascend/issues/227) group and ask your quenstions."
msgstr ""
"加入我们的 [<u>微信群</u>](https://github.com/vllm-project/vllm-ascend/issues/227) "
"并提问你的问题。"
#: ../../faqs.md:47
msgid ""
"Join our ascend channel in [<u>vLLM "
"forums</u>](https://discuss.vllm.ai/c/hardware-support/vllm-ascend-"
"support/6) and publish your topics."
msgstr ""
"加入我们在 [<u>vLLM 论坛</u>](https://discuss.vllm.ai/c/hardware-support/vllm-"
"ascend-support/6) 的 ascend 频道并发布你的话题。"
#: ../../faqs.md:49
msgid "5. What features does vllm-ascend V1 supports?"
msgstr "5. vllm-ascend V1 支持哪些功能？"
#: ../../faqs.md:51
msgid ""
"Find more details [<u>here</u>](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/support_matrix/supported_features.html)."
msgstr ""
"在[<u>这里</u>](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/support_matrix/supported_features.html)找到更多详细信息。"
#: ../../faqs.md:53
msgid ""
"6. How to solve the problem of \"Failed to infer device type\" or "
"\"libatb.so: cannot open shared object file\"?"
msgstr "6. 如何解决“无法推断设备类型”或“libatb.so：无法打开共享对象文件”问题？"
#: ../../faqs.md:55
msgid ""
"Basically, the reason is that the NPU environment is not configured "
"correctly. You can:"
msgstr "基本上，原因是 NPU 环境没有正确配置。你可以："
#: ../../faqs.md:56
msgid ""
"try `source /usr/local/Ascend/nnal/atb/set_env.sh` to enable NNAL package."
msgstr "尝试运行 `source /usr/local/Ascend/nnal/atb/set_env.sh` 以启用 NNAL 包。"
#: ../../faqs.md:57
msgid ""
"try `source /usr/local/Ascend/ascend-toolkit/set_env.sh` to enable CANN "
"package."
msgstr "尝试运行 `source /usr/local/Ascend/ascend-toolkit/set_env.sh` 以启用 CANN 包。"
#: ../../faqs.md:58
msgid "try `npu-smi info` to check whether the NPU is working."
msgstr "尝试运行 `npu-smi info` 来检查 NPU 是否正常工作。"
#: ../../faqs.md:60
msgid ""
"If all above steps are not working, you can try the following code with "
"python to check whether there is any error:"
msgstr "如果以上所有步骤都无效，你可以尝试使用以下 python 代码来检查是否有错误："
#: ../../faqs.md:68
msgid ""
"If all above steps are not working, feel free to submit a GitHub issue."
msgstr "如果以上所有步骤都无法解决问题，欢迎提交一个 GitHub issue。"
#: ../../faqs.md:70
msgid "7. How does vllm-ascend perform?"
msgstr "7. vllm-ascend 的性能如何？"
#: ../../faqs.md:72
msgid ""
"Currently, only some models are improved. Such as `Qwen2.5 VL`, `Qwen3`, "
"`Deepseek V3`. Others are not good enough. From 0.9.0rc2, Qwen and Deepseek"
" works with graph mode to play a good performance. What's more, you can "
"install `mindie-turbo` with `vllm-ascend v0.7.3` to speed up the inference "
"as well."
msgstr ""
"目前，只有部分模型得到了改进，比如 `Qwen2.5 VL`、`Qwen3` 和 `Deepseek V3`。其他模型的效果还不够理想。从 "
"0.9.0rc2 开始，Qwen 和 Deepseek 已经支持图模式，以获得更好的性能。此外，你还可以在 `vllm-ascend v0.7.3` "
"上安装 `mindie-turbo`，进一步加速推理。"
#: ../../faqs.md:74
msgid "8. How vllm-ascend work with vllm?"
msgstr "8. vllm-ascend 如何与 vllm 协同工作？"
#: ../../faqs.md:75
msgid ""
"vllm-ascend is a plugin for vllm. Basically, the version of vllm-ascend is "
"the same as the version of vllm. For example, if you use vllm 0.7.3, you "
"should use vllm-ascend 0.7.3 as well. For main branch, we will make sure "
"`vllm-ascend` and `vllm` are compatible by each commit."
msgstr ""
"vllm-ascend 是 vllm 的一个插件。基本上，vllm-ascend 的版本与 vllm 的版本是相同的。例如，如果你使用 vllm "
"0.7.3，你也应该使用 vllm-ascend 0.7.3。对于主分支，我们会确保每次提交都让 `vllm-ascend` 和 `vllm` "
"保持兼容。"
#: ../../faqs.md:77
msgid "9. Does vllm-ascend support Prefill Disaggregation feature?"
msgstr "9. vllm-ascend 支持 Prefill Disaggregation 功能吗？"
#: ../../faqs.md:79
msgid ""
"Currently, only 1P1D is supported on V0 Engine. For V1 Engine or NPND "
"support, We will make it stable and supported by vllm-ascend in the future."
msgstr "目前，V0引擎只支持1P1D。对于V1引擎或NPND的支持，我们将在未来使其稳定并由vllm-ascend支持。"
#: ../../faqs.md:81
msgid "10. Does vllm-ascend support quantization method?"
msgstr "10. vllm-ascend 支持量化方法吗？"
#: ../../faqs.md:83
msgid ""
"Currently, w8a8 quantization is already supported by vllm-ascend originally "
"on v0.8.4rc2 or higher, If you're using vllm 0.7.3 version, w8a8 "
"quantization is supporeted with the integration of vllm-ascend and mindie-"
"turbo, please use `pip install vllm-ascend[mindie-turbo]`."
msgstr ""
"目前，w8a8 量化已在 v0.8.4rc2 或更高版本的 vllm-ascend 中原生支持。如果你使用的是 vllm 0.7.3 版本，集成了 "
"vllm-ascend 和 mindie-turbo 后也支持 w8a8 量化，请使用 `pip install vllm-ascend[mindie-"
"turbo]`。"
#: ../../faqs.md:85
msgid "11. How to run w8a8 DeepSeek model?"
msgstr "11. 如何运行 w8a8 DeepSeek 模型？"
#: ../../faqs.md:87
msgid ""
"Please following the [inferencing tutorail](https://vllm-"
"ascend.readthedocs.io/en/latest/tutorials/multi_node.html) and replace model"
" to DeepSeek."
msgstr ""
"请按照[inferencing 教程](https://vllm-"
"ascend.readthedocs.io/en/latest/tutorials/multi_node.html)进行操作，并将模型更换为 "
"DeepSeek。"
#: ../../faqs.md:89
msgid ""
"12. There is no output in log when loading models using vllm-ascend, How to "
"solve it?"
msgstr "12. 使用 vllm-ascend 加载模型时日志没有输出，如何解决？"
#: ../../faqs.md:91
msgid ""
"If you're using vllm 0.7.3 version, this is a known progress bar display "
"issue in VLLM, which has been resolved in [this PR](https://github.com/vllm-"
"project/vllm/pull/12428), please cherry-pick it locally by yourself. "
"Otherwise, please fill up an issue."
msgstr ""
"如果你正在使用 vllm 0.7.3 版本，这是 VLLM 已知的进度条显示问题，已在 [此 PR](https://github.com/vllm-"
"project/vllm/pull/12428) 中解决，请自行在本地进行 cherry-pick。否则，请提交一个 issue。"
#: ../../faqs.md:93
msgid "13. How vllm-ascend is tested"
msgstr "13. 如何测试 vllm-ascend"
#: ../../faqs.md:95
msgid ""
"vllm-ascend is tested by functional test, performance test and accuracy "
"test."
msgstr "vllm-ascend 经过功能测试、性能测试和精度测试。"
#: ../../faqs.md:97
msgid ""
"**Functional test**: we added CI, includes portion of vllm's native unit "
"tests and vllm-ascend's own unit tests，on vllm-ascend's test, we test basic "
"functionality、popular models availability and [supported "
"features](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/support_matrix/supported_features.html)"
" via e2e test"
msgstr ""
"**功能测试**：我们添加了CI，包含了vllm原生单元测试的一部分以及vllm-ascend自己的单元测试。在vllm-"
"ascend的测试中，我们通过e2e测试验证了基本功能、主流模型可用性和[支持的特性](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/support_matrix/supported_features.html)。"
#: ../../faqs.md:99
msgid ""
"**Performance test**: we provide [benchmark](https://github.com/vllm-"
"project/vllm-ascend/tree/main/benchmarks) tools for end-to-end performance "
"benchmark which can easily to re-route locally, we'll publish a perf website"
" to show the performance test results for each pull request"
msgstr ""
"**性能测试**：我们提供了用于端到端性能基准测试的[基准测试](https://github.com/vllm-project/vllm-"
"ascend/tree/main/benchmarks)工具，可以方便地在本地重新运行。我们将发布一个性能网站，用于展示每个拉取请求的性能测试结果。"
#: ../../faqs.md:101
msgid ""
"**Accuracy test**: we're working on adding accuracy test to CI as well."
msgstr "**准确性测试**：我们也在努力将准确性测试添加到CI中。"
#: ../../faqs.md:103
msgid ""
"Finnall, for each release, we'll publish the performance test and accuracy "
"test report in the future."
msgstr "最后，未来每个版本发布时，我们都会公开性能测试和准确性测试报告。"
#: ../../faqs.md:105
msgid "14. How to fix the error \"InvalidVersion\" when using vllm-ascend?"
msgstr "14. 使用 vllm-ascend 时如何解决 “InvalidVersion” 错误？"
#: ../../faqs.md:106
msgid ""
"It's usually because you have installed an dev/editable version of vLLM "
"package. In this case, we provide the env variable `VLLM_VERSION` to let "
"users specify the version of vLLM package to use. Please set the env "
"variable `VLLM_VERSION` to the version of vLLM package you have installed. "
"The format of `VLLM_VERSION` should be `X.Y.Z`."
msgstr ""
"这通常是因为你安装了开发版或可编辑版本的 vLLM 包。在这种情况下，我们提供了环境变量 `VLLM_VERSION`，以便用户指定要使用的 vLLM "
"包版本。请将环境变量 `VLLM_VERSION` 设置为你已安装的 vLLM 包的版本。`VLLM_VERSION` 的格式应为 `X.Y.Z`。"
#: ../../faqs.md:108
msgid "15. How to handle Out Of Memory?"
msgstr "15. 如何处理内存溢出？"
#: ../../faqs.md:109
msgid ""
"OOM errors typically occur when the model exceeds the memory capacity of a "
"single NPU. For general guidance, you can refer to [vLLM's OOM "
"troubleshooting "
"documentation](https://docs.vllm.ai/en/latest/getting_started/troubleshooting.html#out-"
"of-memory)."
msgstr ""
"当模型超出单个 NPU 的内存容量时，通常会发生 OOM（内存溢出）错误。一般性的指导可以参考 [vLLM 的 OOM "
"故障排除文档](https://docs.vllm.ai/en/latest/getting_started/troubleshooting.html#out-"
"of-memory)。"
#: ../../faqs.md:111
msgid ""
"In scenarios where NPUs have limited HBM (High Bandwidth Memory) capacity, "
"dynamic memory allocation/deallocation during inference can exacerbate "
"memory fragmentation, leading to OOM. To address this:"
msgstr ""
"在 NPU 的 HBM（高带宽内存）容量有限的场景下，推理过程中动态内存分配和释放会加剧内存碎片，从而导致 OOM（内存溢出）。为了解决这个问题："
#: ../../faqs.md:113
msgid ""
"**Adjust `--gpu-memory-utilization`**: If unspecified, will use the default "
"value of `0.9`. You can decrease this param to reserve more memory to reduce"
" fragmentation risks. See more note in: [vLLM - Inference and Serving - "
"Engine "
"Arguments](https://docs.vllm.ai/en/latest/serving/engine_args.html#vllm.engine.arg_utils-"
"_engine_args_parser-cacheconfig)."
msgstr ""
"**调整 `--gpu-memory-utilization`**：如果未指定，将使用默认值 "
"`0.9`。你可以降低此参数来预留更多内存，从而降低内存碎片风险。参见更多说明：[vLLM - 推理与服务 - "
"引擎参数](https://docs.vllm.ai/en/latest/serving/engine_args.html#vllm.engine.arg_utils-"
"_engine_args_parser-cacheconfig)。"
#: ../../faqs.md:115
msgid ""
"**Configure `PYTORCH_NPU_ALLOC_CONF`**: Set this environment variable to "
"optimize NPU memory management. For example, you can `export "
"PYTORCH_NPU_ALLOC_CONF=expandable_segments:True` to enable virtual memory "
"feature to mitigate memory fragmentation caused by frequent dynamic memory "
"size adjustments during runtime, see more note in: "
"[PYTORCH_NPU_ALLOC_CONF](https://www.hiascend.com/document/detail/zh/Pytorch/700/comref/Envvariables/Envir_012.html)."
msgstr ""
"**配置 `PYTORCH_NPU_ALLOC_CONF`**：设置此环境变量以优化NPU内存管理。例如，你可以通过 `export "
"PYTORCH_NPU_ALLOC_CONF=expandable_segments:True` "
"来启用虚拟内存功能，以缓解运行时频繁动态调整内存大小导致的内存碎片问题，更多说明参见：[PYTORCH_NPU_ALLOC_CONF](https://www.hiascend.com/document/detail/zh/Pytorch/700/comref/Envvariables/Envir_012.html)。"
#: ../../faqs.md:117
msgid "16. Failed to enable NPU graph mode when running DeepSeek?"
msgstr "16. 运行 DeepSeek 时无法启用 NPU 图模式？"
#: ../../faqs.md:118
#, python-brace-format
msgid ""
"You may encounter the following error if running DeepSeek with NPU graph "
"mode enabled. The allowed number of queries per kv when enabling both MLA "
"and Graph mode only support {32, 64, 128}, **Thus this is not supported for "
"DeepSeek-V2-Lite**, as it only has 16 attention heads. The NPU graph mode "
"support on DeepSeek-V2-Lite will be done in the future."
msgstr ""
"如果在启用NPU图模式（Graph "
"mode）运行DeepSeek时，您可能会遇到以下错误。当同时启用MLA和图模式时，每个kv允许的查询数只支持{32, 64, "
"128}，**因此这不支持DeepSeek-V2-Lite**，因为它只有16个注意力头。未来会增加对DeepSeek-V2-Lite在NPU图模式下的支持。"
#: ../../faqs.md:120
#, python-brace-format
msgid ""
"And if you're using DeepSeek-V3 or DeepSeek-R1, please make sure after the "
"tensor parallel split, num_heads / num_kv_heads in {32, 64, 128}."
msgstr ""
"如果你正在使用 DeepSeek-V3 或 DeepSeek-R1，请确保在张量并行切分后，num_heads / num_kv_heads 的值为 "
"{32, 64, 128} 中的一个。"
#: ../../faqs.md:127
msgid ""
"17. Failed to reinstall vllm-ascend from source after uninstalling vllm-"
"ascend?"
msgstr "17. 卸载 vllm-ascend 后无法从源码重新安装 vllm-ascend？"
#: ../../faqs.md:128
msgid ""
"You may encounter the problem of C compilation failure when reinstalling "
"vllm-ascend from source using pip. If the installation fails, it is "
"recommended to use `python setup.py install` to install, or use `python "
"setup.py clean` to clear the cache."
msgstr ""
"当你使用 pip 从源码重新安装 vllm-ascend 时，可能会遇到 C 编译失败的问题。如果安装失败，建议使用 `python setup.py "
"install` 进行安装，或者使用 `python setup.py clean` 清除缓存。"
#: ../../faqs.md:130
msgid "18. How to generate determinitic results when using vllm-ascend?"
msgstr "18. 使用 vllm-ascend 时如何生成确定性结果？"
#: ../../faqs.md:131
msgid "There are several factors that affect output certainty:"
msgstr "有几个因素会影响输出的确定性："
#: ../../faqs.md:133
msgid ""
"Sampler Method: using **Greedy sample** by setting `temperature=0` in "
"`SamplingParams`, e.g.:"
msgstr ""
"采样方法：通过在 `SamplingParams` 中设置 `temperature=0` 来使用 **贪婪采样（Greedy "
"sample）**，例如："
#: ../../faqs.md:158
msgid "Set the following enveriments parameters:"
msgstr "设置以下环境参数："

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@@ -0,0 +1,79 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: 2025-07-18 10:05+0800\n"
"Last-Translator: \n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
"X-Generator: Poedit 3.5\n"
#: ../../index.md:33
msgid "Getting Started"
msgstr "快速开始"
#: ../../index.md:43
msgid "User Guide"
msgstr "用户指南"
#: ../../index.md:53
msgid "Developer Guide"
msgstr "开发者指南"
#: ../../index.md:64
msgid "Community"
msgstr "社区"
#: ../../index.md:1
msgid "Welcome to vLLM Ascend Plugin"
msgstr "欢迎使用 vLLM Ascend 插件"
#: ../../index.md:3
msgid "vLLM"
msgstr "vLLM"
#: ../../index.md:24
msgid ""
"vLLM Ascend plugin (vllm-ascend) is a community maintained hardware plugin "
"for running vLLM on the Ascend NPU."
msgstr ""
"vLLM Ascend 插件（vllm-ascend）是一个由社区维护的硬件插件，用于在 Ascend "
"NPU 上运行 vLLM。"
#: ../../index.md:26
msgid ""
"This plugin is the recommended approach for supporting the Ascend backend "
"within the vLLM community. It adheres to the principles outlined in the "
"[[RFC]: Hardware pluggable](https://github.com/vllm-project/vllm/"
"issues/11162), providing a hardware-pluggable interface that decouples the "
"integration of the Ascend NPU with vLLM."
msgstr ""
"该插件是 vLLM 社区推荐用于支持 Ascend 后端的方法。它遵循 [[RFC]: Hardware "
"pluggable](https://github.com/vllm-project/vllm/issues/11162) 中提出的原"
"则，提供了一个硬件可插拔接口，实现了 Ascend NPU 与 vLLM 集成的解耦。"
#: ../../index.md:28
msgid ""
"By using vLLM Ascend plugin, popular open-source models, including "
"Transformer-like, Mixture-of-Expert, Embedding, Multi-modal LLMs can run "
"seamlessly on the Ascend NPU."
msgstr ""
"通过使用 vLLM Ascend 插件，流行的开源模型，包括 Transformer 类、混合专家、"
"嵌入式、多模态大模型等，都可以在 Ascend NPU 上无缝运行。"
#: ../../index.md:30
msgid "Documentation"
msgstr "文档"

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@@ -0,0 +1,293 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: 2025-07-18 10:09+0800\n"
"Last-Translator: \n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
"X-Generator: Poedit 3.5\n"
#: ../../installation.md:1
msgid "Installation"
msgstr "安装"
#: ../../installation.md:3
msgid "This document describes how to install vllm-ascend manually."
msgstr "本文档介绍如何手动安装 vllm-ascend。"
#: ../../installation.md:5
msgid "Requirements"
msgstr "要求"
#: ../../installation.md:7
msgid "OS: Linux"
msgstr "操作系统：Linux"
#: ../../installation.md:8
msgid "Python: >= 3.9, < 3.12"
msgstr "Python：>= 3.9，< 3.12"
#: ../../installation.md:9
msgid "A hardware with Ascend NPU. It's usually the Atlas 800 A2 series."
msgstr "配备有昇腾NPU的硬件，通常是Atlas 800 A2系列。"
#: ../../installation.md:10
msgid "Software:"
msgstr "软件："
#: ../../installation.md
msgid "Software"
msgstr "软件"
#: ../../installation.md
msgid "Supported version"
msgstr "支持的版本"
#: ../../installation.md
msgid "Note"
msgstr "注释"
#: ../../installation.md
msgid "CANN"
msgstr "CANN"
#: ../../installation.md
msgid ">= 8.1.RC1"
msgstr ">= 8.1.RC1"
#: ../../installation.md
msgid "Required for vllm-ascend and torch-npu"
msgstr "vllm-ascend 和 torch-npu 必需"
#: ../../installation.md
msgid "torch-npu"
msgstr "torch-npu"
#: ../../installation.md
msgid ">= 2.5.1.post1.dev20250619"
msgstr ">= 2.5.1.post1.dev20250619"
#: ../../installation.md
msgid ""
"Required for vllm-ascend, No need to install manually, it will be auto "
"installed in below steps"
msgstr "vllm-ascend 必需，无需手动安装，后续步骤会自动安装。"
#: ../../installation.md
msgid "torch"
msgstr "torch"
#: ../../installation.md
msgid ">= 2.5.1"
msgstr ">= 2.5.1"
#: ../../installation.md
msgid "Required for torch-npu and vllm"
msgstr "torch-npu 和 vllm 所需"
#: ../../installation.md:18
msgid "You have 2 way to install:"
msgstr "你有两种安装方式："
#: ../../installation.md:19
msgid ""
"**Using pip**: first prepare env manually or via CANN image, then install "
"`vllm-ascend` using pip."
msgstr ""
"**使用 pip**：首先手动准备环境或通过 CANN 镜像准备环境，然后使用 pip 安装 "
"`vllm-ascend`。"
#: ../../installation.md:20
msgid ""
"**Using docker**: use the `vllm-ascend` pre-built docker image directly."
msgstr "**使用 docker**：直接使用 `vllm-ascend` 预构建的 docker 镜像。"
#: ../../installation.md:22
msgid "Configure a new environment"
msgstr "配置一个新环境"
#: ../../installation.md:24
msgid ""
"Before installing, you need to make sure firmware/driver and CANN are "
"installed correctly, refer to [link](https://ascend.github.io/docs/sources/"
"ascend/quick_install.html) for more details."
msgstr ""
"在安装之前，您需要确保固件/驱动和 CANN 已正确安装，更多详情请参考 [链接]"
"(https://ascend.github.io/docs/sources/ascend/quick_install.html)。"
#: ../../installation.md:26
msgid "Configure hardware environment"
msgstr "配置硬件环境"
#: ../../installation.md:28
msgid ""
"To verify that the Ascend NPU firmware and driver were correctly installed, "
"run:"
msgstr "要验证 Ascend NPU 固件和驱动程序是否正确安装，请运行："
#: ../../installation.md:34
msgid ""
"Refer to [Ascend Environment Setup Guide](https://ascend.github.io/docs/"
"sources/ascend/quick_install.html) for more details."
msgstr ""
"更多详情请参考[Ascend环境搭建指南](https://ascend.github.io/docs/sources/"
"ascend/quick_install.html)。"
#: ../../installation.md:36
msgid "Configure software environment"
msgstr "配置软件环境"
#: ../../installation.md
msgid "Before using pip"
msgstr "在使用 pip 之前"
#: ../../installation.md:46
msgid ""
"The easiest way to prepare your software environment is using CANN image "
"directly:"
msgstr "最简单的方式是直接使用 CANN 镜像来准备您的软件环境："
#: ../../installation.md
msgid "Click here to see \"Install CANN manually\""
msgstr "点击此处查看“手动安装 CANN”"
#: ../../installation.md:72
msgid "You can also install CANN manually:"
msgstr "你也可以手动安装 CANN："
#: ../../installation.md
msgid "Before using docker"
msgstr "在使用 docker 之前"
#: ../../installation.md:104
msgid ""
"No more extra step if you are using `vllm-ascend` prebuilt docker image."
msgstr "如果你使用 `vllm-ascend` 预构建的 docker 镜像，就无需额外的步骤。"
#: ../../installation.md:108
msgid "Once it's done, you can start to set up `vllm` and `vllm-ascend`."
msgstr "完成后，你可以开始配置 `vllm` 和 `vllm-ascend`。"
#: ../../installation.md:110
msgid "Setup vllm and vllm-ascend"
msgstr "安装 vllm 和 vllm-ascend"
#: ../../installation.md
msgid "Using pip"
msgstr "使用 pip"
#: ../../installation.md:121
msgid "First install system dependencies and config pip mirror:"
msgstr "首先安装系统依赖并配置 pip 镜像："
#: ../../installation.md:133
msgid ""
"**[Optional]** Then config the extra-index of `pip` if you are working on a "
"x86 machine or using torch-npu dev version:"
msgstr ""
"**[可选]** 如果你在 x86 机器上工作或使用 torch-npu 开发版，请配置 `pip` 的额"
"外索引："
#: ../../installation.md:140
msgid ""
"Then you can install `vllm` and `vllm-ascend` from **pre-built wheel**:"
msgstr "然后你可以从**预编译的 wheel 包**安装 `vllm` 和 `vllm-ascend`："
#: ../../installation.md
msgid "Click here to see \"Build from source code\""
msgstr "点击此处查看“从源代码构建”"
#: ../../installation.md:153
msgid "or build from **source code**:"
msgstr "或者从**源代码**构建："
#: ../../installation.md:171
msgid ""
"vllm-ascend will build custom ops by default. If you don't want to build "
"it, set `COMPILE_CUSTOM_KERNELS=0` environment to disable it."
msgstr ""
"vllm-ascend 默认会编译自定义算子。如果你不想编译它，可以设置环境变量 "
"`COMPILE_CUSTOM_KERNELS=0` 来禁用。"
#: ../../installation.md:175
msgid ""
"If you are building from v0.7.3-dev and intend to use sleep mode feature, "
"you should set `COMPILE_CUSTOM_KERNELS=1` manually. To build custom ops, "
"gcc/g++ higher than 8 and c++ 17 or higher is required. If you're using "
"`pip install -e .` and encourage a torch-npu version conflict, please "
"install with `pip install --no-build-isolation -e .` to build on system "
"env. If you encounter other problems during compiling, it is probably "
"because unexpected compiler is being used, you may export `CXX_COMPILER` "
"and `C_COMPILER` in env to specify your g++ and gcc locations before "
"compiling."
msgstr ""
"如果你是从 v0.7.3-dev 版本开始构建，并且打算使用休眠模式功能，你需要手动设"
"置 `COMPILE_CUSTOM_KERNELS=1`。构建自定义算子时，要求 gcc/g++ 版本高于 8 且"
"支持 c++ 17 或更高标准。如果你正在使用 `pip install -e .` 并且出现了 torch-"
"npu 版本冲突，请使用 `pip install --no-build-isolation -e .` 在系统环境下进"
"行安装。如果在编译过程中遇到其它问题，可能是因为使用了非预期的编译器，你可以"
"在编译前通过环境变量导出 `CXX_COMPILER` 和 `C_COMPILER`，以指定你的 g++ 和 "
"gcc 路径。"
#: ../../installation.md
msgid "Using docker"
msgstr "使用 docker"
#: ../../installation.md:184
msgid "You can just pull the **prebuilt image** and run it with bash."
msgstr "你可以直接拉取**预构建镜像**并用 bash 运行它。"
#: ../../installation.md
msgid "Click here to see \"Build from Dockerfile\""
msgstr "点击这里查看“从 Dockerfile 构建”"
#: ../../installation.md:187
msgid "or build IMAGE from **source code**:"
msgstr "或从**源代码**构建 IMAGE："
#: ../../installation.md:218
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。"
#: ../../installation.md:222
msgid "Extra information"
msgstr "额外信息"
#: ../../installation.md:224
msgid "Verify installation"
msgstr "验证安装"
#: ../../installation.md:226
msgid "Create and run a simple inference test. The `example.py` can be like:"
msgstr "创建并运行一个简单的推理测试。`example.py` 可以如下："
#: ../../installation.md:251
msgid "Then run:"
msgstr "然后运行："
#: ../../installation.md:259
msgid "The output will be like:"
msgstr "输出将会像这样："

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@@ -0,0 +1,149 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: 2025-07-18 10:09+0800\n"
"Last-Translator: \n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
"X-Generator: Poedit 3.5\n"
#: ../../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。"

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@@ -0,0 +1,29 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/index.md:3
msgid "Deployment"
msgstr "部署"
#: ../../tutorials/index.md:1
msgid "Tutorials"
msgstr "教程"

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@@ -0,0 +1,192 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/multi_node.md:1
msgid "Multi-Node-DP (DeepSeek)"
msgstr "多节点分布式处理（DeepSeek）"
#: ../../tutorials/multi_node.md:3
msgid "Getting Start"
msgstr "快速开始"
#: ../../tutorials/multi_node.md:4
msgid ""
"vLLM-Ascend now supports Data Parallel (DP) deployment, enabling model "
"weights to be replicated across multiple NPUs or instances, each processing "
"independent batches of requests. This is particularly useful for scaling "
"throughput across devices while maintaining high resource utilization."
msgstr ""
"vLLM-Ascend 现在支持数据并行（DP）部署，可以在多个 NPU "
"或实例之间复制模型权重，每个实例处理独立的请求批次。这对于在保证高资源利用率的同时，实现跨设备的吞吐量扩展特别有用。"
#: ../../tutorials/multi_node.md:6
msgid ""
"Each DP rank is deployed as a separate “core engine” process which "
"communicates with front-end process(es) via ZMQ sockets. Data Parallel can "
"be combined with Tensor Parallel, in which case each DP engine owns a number"
" of per-NPU worker processes equal to the TP size."
msgstr ""
"每个 DP 进程作为一个单独的“核心引擎”进程部署，并通过 ZMQ 套接字与前端进程通信。数据并行可以与张量并行结合使用，此时每个 DP "
"引擎拥有数量等于 TP 大小的每 NPU 工作进程。"
#: ../../tutorials/multi_node.md:8
msgid ""
"For Mixture-of-Experts (MoE) models — especially advanced architectures like"
" DeepSeek that utilize Multi-head Latent Attention (MLA) — a hybrid "
"parallelism approach is recommended: - Use **Data Parallelism (DP)** for"
" attention layers, which are replicated across devices and handle separate "
"batches. - Use **Expert or Tensor Parallelism (EP/TP)** for expert "
"layers, which are sharded across devices to distribute the computation."
msgstr ""
"对于混合专家（Mixture-of-Experts, MoE）模型——尤其是像 DeepSeek 这样采用多头潜在注意力（Multi-head Latent Attention, MLA）的高级架构——推荐使用混合并行策略：\n"
" - 对于注意力层，使用 **数据并行（Data Parallelism, DP）**，这些层会在各设备间复刻，并处理不同的批次。\n"
" - 对于专家层，使用 **专家并行或张量并行（Expert or Tensor Parallelism, EP/TP）**，这些层会在设备间分片，从而分担计算。"
#: ../../tutorials/multi_node.md:12
msgid ""
"This division enables attention layers to be replicated across Data Parallel"
" (DP) ranks, enabling them to process different batches independently. "
"Meanwhile, expert layers are partitioned (sharded) across devices using "
"Expert or Tensor Parallelism(DP*TP), maximizing hardware utilization and "
"efficiency."
msgstr ""
"这种划分使得注意力层能够在数据并行（DP）组内复制，从而能够独立处理不同的批次。同时，专家层通过专家或张量并行（DP*TP）在设备间进行分区（切片），最大化硬件利用率和效率。"
#: ../../tutorials/multi_node.md:14
msgid ""
"In these cases the data parallel ranks are not completely independent, "
"forward passes must be aligned and expert layers across all ranks are "
"required to synchronize during every forward pass, even if there are fewer "
"requests to be processed than DP ranks."
msgstr ""
"在这些情况下，数据并行的各个 rank 不是完全独立的，前向传播必须对齐，并且所有 rank "
"上的专家层在每次前向传播时都需要同步，即使待处理的请求数量少于 DP rank 的数量。"
#: ../../tutorials/multi_node.md:16
msgid ""
"For MoE models, when any requests are in progress in any rank, we must "
"ensure that empty “dummy” forward passes are performed in all ranks which "
"don’t currently have any requests scheduled. This is handled via a separate "
"DP `Coordinator` process which communicates with all of the ranks, and a "
"collective operation performed every N steps to determine when all ranks "
"become idle and can be paused. When TP is used in conjunction with DP, "
"expert layers form an EP or TP group of size (DP x TP)."
msgstr ""
"对于 MoE 模型，当任何一个 rank 有请求正在进行时，必须确保所有当前没有请求的 rank 都执行空的“虚拟”前向传播。这是通过一个单独的 DP "
"`Coordinator` 协调器进程来实现的，该进程与所有 rank 通信，并且每隔 N 步执行一次集体操作，以判断所有 rank "
"是否都处于空闲状态并可以暂停。当 TP 与 DP 结合使用时，专家层会组成一个规模为（DP x TP）的 EP 或 TP 组。"
#: ../../tutorials/multi_node.md:18
msgid "Verify Multi-Node Communication Environment"
msgstr "验证多节点通信环境"
#: ../../tutorials/multi_node.md:20
msgid "Physical Layer Requirements:"
msgstr "物理层要求："
#: ../../tutorials/multi_node.md:22
msgid ""
"The physical machines must be located on the same WLAN, with network "
"connectivity."
msgstr "物理机器必须位于同一个 WLAN 中，并且具有网络连接。"
#: ../../tutorials/multi_node.md:23
msgid ""
"All NPUs are connected with optical modules, and the connection status must "
"be normal."
msgstr "所有 NPU 都通过光模块连接，且连接状态必须正常。"
#: ../../tutorials/multi_node.md:25
msgid "Verification Process:"
msgstr "验证流程："
#: ../../tutorials/multi_node.md:27
msgid ""
"Execute the following commands on each node in sequence. The results must "
"all be `success` and the status must be `UP`:"
msgstr "在每个节点上依次执行以下命令。所有结果必须为 `success` 且状态必须为 `UP`："
#: ../../tutorials/multi_node.md:44
msgid "NPU Interconnect Verification:"
msgstr "NPU 互连验证："
#: ../../tutorials/multi_node.md:45
msgid "1. Get NPU IP Addresses"
msgstr "1. 获取 NPU IP 地址"
#: ../../tutorials/multi_node.md:50
msgid "2. Cross-Node PING Test"
msgstr "2. 跨节点PING测试"
#: ../../tutorials/multi_node.md:56
msgid "Run with docker"
msgstr "用 docker 运行"
#: ../../tutorials/multi_node.md:57
msgid ""
"Assume you have two Atlas 800 A2(64G*8) nodes, and want to deploy the "
"`deepseek-v3-w8a8` quantitative model across multi-node."
msgstr "假设你有两台 Atlas 800 A2（64G*8）节点，并且想要在多节点上部署 `deepseek-v3-w8a8` 量化模型。"
#: ../../tutorials/multi_node.md:92
msgid ""
"Before launch the inference server, ensure some environment variables are "
"set for multi node communication"
msgstr "在启动推理服务器之前，确保已经为多节点通信设置了一些环境变量。"
#: ../../tutorials/multi_node.md:95
msgid "Run the following scripts on two nodes respectively"
msgstr "分别在两台节点上运行以下脚本"
#: ../../tutorials/multi_node.md:97
msgid "**node0**"
msgstr "**节点0**"
#: ../../tutorials/multi_node.md:137
msgid "**node1**"
msgstr "**节点1**"
#: ../../tutorials/multi_node.md:176
msgid ""
"The Deployment view looks like: ![alt text](../assets/multi_node_dp.png)"
msgstr "部署视图如下所示：![替代文本](../assets/multi_node_dp.png)"
#: ../../tutorials/multi_node.md:176
msgid "alt text"
msgstr "替代文本"
#: ../../tutorials/multi_node.md:179
msgid ""
"Once your server is started, you can query the model with input prompts:"
msgstr "一旦你的服务器启动，你可以通过输入提示词来查询模型："
#: ../../tutorials/multi_node.md:192
msgid "Run benchmarks"
msgstr "运行基准测试"
#: ../../tutorials/multi_node.md:193
msgid ""
"For details please refer to [benchmark](https://github.com/vllm-"
"project/vllm-ascend/tree/main/benchmarks)"
msgstr ""
"详细信息请参阅 [benchmark](https://github.com/vllm-project/vllm-"
"ascend/tree/main/benchmarks)"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/multi_npu.md:1
msgid "Multi-NPU (QwQ 32B)"
msgstr "多-NPU（QwQ 32B）"
#: ../../tutorials/multi_npu.md:3
msgid "Run vllm-ascend on Multi-NPU"
msgstr "在多NPU上运行 vllm-ascend"
#: ../../tutorials/multi_npu.md:5
msgid "Run docker container:"
msgstr "运行 docker 容器："
#: ../../tutorials/multi_npu.md:30
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/multi_npu.md:40
msgid "Online Inference on Multi-NPU"
msgstr "多NPU的在线推理"
#: ../../tutorials/multi_npu.md:42
msgid "Run the following script to start the vLLM server on Multi-NPU:"
msgstr "运行以下脚本，在多NPU上启动 vLLM 服务器："
#: ../../tutorials/multi_npu.md:48
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。"
#: ../../tutorials/multi_npu.md:63
msgid "Offline Inference on Multi-NPU"
msgstr "多NPU离线推理"
#: ../../tutorials/multi_npu.md:65
msgid "Run the following script to execute offline inference on multi-NPU:"
msgstr "运行以下脚本以在多NPU上执行离线推理："
#: ../../tutorials/multi_npu.md:102
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："

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/multi_npu_moge.md:1
msgid "Multi-NPU (Pangu Pro MoE)"
msgstr "多NPU（Pangu Pro MoE）"
#: ../../tutorials/multi_npu_moge.md:3
msgid "Run vllm-ascend on Multi-NPU"
msgstr "在多NPU上运行 vllm-ascend"
#: ../../tutorials/multi_npu_moge.md:5
msgid "Run container:"
msgstr "运行容器："
#: ../../tutorials/multi_npu_moge.md:30
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/multi_npu_moge.md:37
msgid "Download the model:"
msgstr "下载该模型："
#: ../../tutorials/multi_npu_moge.md:44
msgid "Online Inference on Multi-NPU"
msgstr "多NPU上的在线推理"
#: ../../tutorials/multi_npu_moge.md:46
msgid "Run the following script to start the vLLM server on Multi-NPU:"
msgstr "运行以下脚本，在多NPU上启动 vLLM 服务器："
#: ../../tutorials/multi_npu_moge.md:55
msgid ""
"Once your server is started, you can query the model with input prompts:"
msgstr "一旦你的服务器启动，你可以通过输入提示词来查询模型："
#: ../../tutorials/multi_npu_moge.md
msgid "v1/completions"
msgstr "v1/补全"
#: ../../tutorials/multi_npu_moge.md
msgid "v1/chat/completions"
msgstr "v1/chat/completions"
#: ../../tutorials/multi_npu_moge.md:96
msgid "If you run this successfully, you can see the info shown below:"
msgstr "如果你成功运行这个，你可以看到如下所示的信息："
#: ../../tutorials/multi_npu_moge.md:102
msgid "Offline Inference on Multi-NPU"
msgstr "多NPU离线推理"
#: ../../tutorials/multi_npu_moge.md:104
msgid "Run the following script to execute offline inference on multi-NPU:"
msgstr "运行以下脚本以在多NPU上执行离线推理："
#: ../../tutorials/multi_npu_moge.md
msgid "Graph Mode"
msgstr "图模式"
#: ../../tutorials/multi_npu_moge.md
msgid "Eager Mode"
msgstr "即时模式"
#: ../../tutorials/multi_npu_moge.md:230
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："

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/multi_npu_quantization.md:1
msgid "Multi-NPU (QwQ 32B W8A8)"
msgstr "多NPU（QwQ 32B W8A8）"
#: ../../tutorials/multi_npu_quantization.md:3
msgid "Run docker container"
msgstr "运行 docker 容器"
#: ../../tutorials/multi_npu_quantization.md:5
msgid "w8a8 quantization feature is supported by v0.8.4rc2 or higher"
msgstr "w8a8 量化功能由 v0.8.4rc2 或更高版本支持"
#: ../../tutorials/multi_npu_quantization.md:31
msgid "Install modelslim and convert model"
msgstr "安装 modelslim 并转换模型"
#: ../../tutorials/multi_npu_quantization.md:33
msgid ""
"You can choose to convert the model yourself or use the quantized model we "
"uploaded, see https://www.modelscope.cn/models/vllm-ascend/QwQ-32B-W8A8"
msgstr ""
"你可以选择自己转换模型，或者使用我们上传的量化模型，详见 https://www.modelscope.cn/models/vllm-"
"ascend/QwQ-32B-W8A8"
#: ../../tutorials/multi_npu_quantization.md:56
msgid "Verify the quantized model"
msgstr "验证量化模型"
#: ../../tutorials/multi_npu_quantization.md:57
msgid "The converted model files looks like:"
msgstr "转换后的模型文件如下所示："
#: ../../tutorials/multi_npu_quantization.md:70
msgid ""
"Run the following script to start the vLLM server with quantized model:"
msgstr "运行以下脚本以启动带有量化模型的 vLLM 服务器："
#: ../../tutorials/multi_npu_quantization.md:73
msgid ""
"The value \"ascend\" for \"--quantization\" argument will be supported after"
" [a specific PR](https://github.com/vllm-project/vllm-ascend/pull/877) is "
"merged and released, you can cherry-pick this commit for now."
msgstr ""
"在 [特定的PR](https://github.com/vllm-project/vllm-ascend/pull/877) 合并并发布后， \"--"
"quantization\" 参数将支持值 \"ascend\"，你也可以现在手动挑选该提交。"
#: ../../tutorials/multi_npu_quantization.md:79
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。"
#: ../../tutorials/multi_npu_quantization.md:93
msgid ""
"Run the following script to execute offline inference on multi-NPU with "
"quantized model:"
msgstr "运行以下脚本，在多NPU上使用量化模型执行离线推理："
#: ../../tutorials/multi_npu_quantization.md:96
msgid "To enable quantization for ascend, quantization method must be \"ascend\""
msgstr "要在ascend上启用量化，量化方法必须为“ascend”。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/multi_npu_qwen3_moe.md:1
msgid "Multi-NPU (Qwen3-30B-A3B)"
msgstr "多NPU（Qwen3-30B-A3B）"
#: ../../tutorials/multi_npu_qwen3_moe.md:3
msgid "Run vllm-ascend on Multi-NPU with Qwen3 MoE"
msgstr "在多NPU上运行带有Qwen3 MoE的vllm-ascend"
#: ../../tutorials/multi_npu_qwen3_moe.md:5
msgid "Run docker container:"
msgstr "运行 docker 容器："
#: ../../tutorials/multi_npu_qwen3_moe.md:30
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/multi_npu_qwen3_moe.md:40
msgid "Online Inference on Multi-NPU"
msgstr "多NPU的在线推理"
#: ../../tutorials/multi_npu_qwen3_moe.md:42
msgid "Run the following script to start the vLLM server on Multi-NPU:"
msgstr "运行以下脚本以在多NPU上启动 vLLM 服务器："
#: ../../tutorials/multi_npu_qwen3_moe.md:44
msgid ""
"For an Atlas A2 with 64GB of NPU card memory, tensor-parallel-size should be"
" at least 2, and for 32GB of memory, tensor-parallel-size should be at least"
" 4."
msgstr ""
"对于拥有64GB NPU卡内存的Atlas A2，tensor-parallel-size 至少应为2；对于32GB内存的NPU卡，tensor-"
"parallel-size 至少应为4。"
#: ../../tutorials/multi_npu_qwen3_moe.md:50
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。"
#: ../../tutorials/multi_npu_qwen3_moe.md:65
msgid "Offline Inference on Multi-NPU"
msgstr "多NPU离线推理"
#: ../../tutorials/multi_npu_qwen3_moe.md:67
msgid "Run the following script to execute offline inference on multi-NPU:"
msgstr "运行以下脚本以在多NPU上执行离线推理："
#: ../../tutorials/multi_npu_qwen3_moe.md:104
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："

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/single_node_300i.md:1
msgid "Single Node (Atlas 300I series)"
msgstr "单节点（Atlas 300I 系列）"
#: ../../tutorials/single_node_300i.md:4
msgid ""
"This Atlas 300I series is currently experimental. In future versions, there "
"may be behavioral changes around model coverage, performance improvement."
msgstr "Atlas 300I 系列目前处于实验阶段。在未来的版本中，模型覆盖范围和性能提升方面可能会有行为上的变化。"
#: ../../tutorials/single_node_300i.md:7
msgid "Run vLLM on Altlas 300I series"
msgstr "在 Altlas 300I 系列上运行 vLLM"
#: ../../tutorials/single_node_300i.md:9
msgid "Run docker container:"
msgstr "运行 docker 容器："
#: ../../tutorials/single_node_300i.md:38
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/single_node_300i.md:48
msgid "Online Inference on NPU"
msgstr "在NPU上进行在线推理"
#: ../../tutorials/single_node_300i.md:50
msgid ""
"Run the following script to start the vLLM server on NPU(Qwen3-0.6B:1 card, "
"Qwen2.5-7B-Instruct:2 cards, Pangu-Pro-MoE-72B: 8 cards):"
msgstr ""
"运行以下脚本，在 NPU 上启动 vLLM 服务器（Qwen3-0.6B：1 张卡，Qwen2.5-7B-Instruct：2 张卡，Pangu-"
"Pro-MoE-72B：8 张卡）："
#: ../../tutorials/single_node_300i.md
msgid "Qwen3-0.6B"
msgstr "Qwen3-0.6B"
#: ../../tutorials/single_node_300i.md:59
#: ../../tutorials/single_node_300i.md:89
#: ../../tutorials/single_node_300i.md:126
msgid "Run the following command to start the vLLM server:"
msgstr "运行以下命令以启动 vLLM 服务器："
#: ../../tutorials/single_node_300i.md:70
#: ../../tutorials/single_node_300i.md:100
#: ../../tutorials/single_node_300i.md:140
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。"
#: ../../tutorials/single_node_300i.md
msgid "Qwen/Qwen2.5-7B-Instruct"
msgstr "Qwen/Qwen2.5-7B-Instruct"
#: ../../tutorials/single_node_300i.md
msgid "Pangu-Pro-MoE-72B"
msgstr "Pangu-Pro-MoE-72B"
#: ../../tutorials/single_node_300i.md:119
#: ../../tutorials/single_node_300i.md:257
msgid "Download the model:"
msgstr "下载该模型："
#: ../../tutorials/single_node_300i.md:157
msgid "If you run this script successfully, you can see the results."
msgstr "如果你成功运行此脚本，你就可以看到结果。"
#: ../../tutorials/single_node_300i.md:159
msgid "Offline Inference"
msgstr "离线推理"
#: ../../tutorials/single_node_300i.md:161
msgid ""
"Run the following script (`example.py`) to execute offline inference on NPU:"
msgstr "运行以下脚本（`example.py`）以在 NPU 上执行离线推理："
#: ../../tutorials/single_node_300i.md
msgid "Qwen2.5-7B-Instruct"
msgstr "Qwen2.5-7B-指令版"
#: ../../tutorials/single_node_300i.md:320
msgid "Run script:"
msgstr "运行脚本："
#: ../../tutorials/single_node_300i.md:325
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："

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@@ -0,0 +1,107 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/single_npu.md:1
msgid "Single NPU (Qwen3 8B)"
msgstr "单个NPU（Qwen3 8B）"
#: ../../tutorials/single_npu.md:3
msgid "Run vllm-ascend on Single NPU"
msgstr "在单个 NPU 上运行 vllm-ascend"
#: ../../tutorials/single_npu.md:5
msgid "Offline Inference on Single NPU"
msgstr "在单个NPU上进行离线推理"
#: ../../tutorials/single_npu.md:7
msgid "Run docker container:"
msgstr "运行 docker 容器："
#: ../../tutorials/single_npu.md:29
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/single_npu.md:40
msgid ""
"`max_split_size_mb` prevents the native allocator from splitting blocks "
"larger than this size (in MB). This can reduce fragmentation and may allow "
"some borderline workloads to complete without running out of memory. You can"
" find more details "
"[<u>here</u>](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/800alpha003/apiref/envref/envref_07_0061.html)."
msgstr ""
"`max_split_size_mb` 防止本地分配器拆分超过此大小（以 MB "
"为单位）的内存块。这可以减少内存碎片，并且可能让一些边缘情况下的工作负载顺利完成而不会耗尽内存。你可以在[<u>这里</u>](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/800alpha003/apiref/envref/envref_07_0061.html)找到更多详细信息。"
#: ../../tutorials/single_npu.md:43
msgid "Run the following script to execute offline inference on a single NPU:"
msgstr "运行以下脚本以在单个 NPU 上执行离线推理："
#: ../../tutorials/single_npu.md
msgid "Graph Mode"
msgstr "图模式"
#: ../../tutorials/single_npu.md
msgid "Eager Mode"
msgstr "即时模式"
#: ../../tutorials/single_npu.md:98
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："
#: ../../tutorials/single_npu.md:105
msgid "Online Serving on Single NPU"
msgstr "单个 NPU 上的在线服务"
#: ../../tutorials/single_npu.md:107
msgid "Run docker container to start the vLLM server on a single NPU:"
msgstr "运行 docker 容器，在单个 NPU 上启动 vLLM 服务器："
#: ../../tutorials/single_npu.md:163
msgid ""
"Add `--max_model_len` option to avoid ValueError that the Qwen2.5-7B model's"
" max seq len (32768) is larger than the maximum number of tokens that can be"
" stored in KV cache (26240). This will differ with different NPU series base"
" on the HBM size. Please modify the value according to a suitable value for "
"your NPU series."
msgstr ""
"添加 `--max_model_len` 选项，以避免出现 Qwen2.5-7B 模型的最大序列长度（32768）大于 KV 缓存能存储的最大 "
"token 数（26240）时的 ValueError。不同 NPU 系列由于 HBM 容量不同，该值也会有所不同。请根据您的 NPU "
"系列，修改为合适的数值。"
#: ../../tutorials/single_npu.md:166
msgid "If your service start successfully, you can see the info shown below:"
msgstr "如果你的服务启动成功，你会看到如下所示的信息："
#: ../../tutorials/single_npu.md:174
msgid ""
"Once your server is started, you can query the model with input prompts:"
msgstr "一旦你的服务器启动，你可以通过输入提示词来查询模型："
#: ../../tutorials/single_npu.md:187
msgid ""
"If you query the server successfully, you can see the info shown below "
"(client):"
msgstr "如果你成功查询了服务器，你可以看到如下所示的信息（客户端）："
#: ../../tutorials/single_npu.md:193
msgid "Logs of the vllm server:"
msgstr "vllm 服务器的日志："

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@@ -0,0 +1,77 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/single_npu_audio.md:1
msgid "Single NPU (Qwen2-Audio 7B)"
msgstr "单个 NPU（Qwen2-Audio 7B）"
#: ../../tutorials/single_npu_audio.md:3
msgid "Run vllm-ascend on Single NPU"
msgstr "在单个 NPU 上运行 vllm-ascend"
#: ../../tutorials/single_npu_audio.md:5
msgid "Offline Inference on Single NPU"
msgstr "在单个NPU上进行离线推理"
#: ../../tutorials/single_npu_audio.md:7
msgid "Run docker container:"
msgstr "运行 docker 容器："
#: ../../tutorials/single_npu_audio.md:29
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/single_npu_audio.md:40
msgid ""
"`max_split_size_mb` prevents the native allocator from splitting blocks "
"larger than this size (in MB). This can reduce fragmentation and may allow "
"some borderline workloads to complete without running out of memory. You can"
" find more details "
"[<u>here</u>](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/800alpha003/apiref/envref/envref_07_0061.html)."
msgstr ""
"`max_split_size_mb` 防止本地分配器拆分超过此大小（以 MB "
"为单位）的内存块。这可以减少内存碎片，并且可能让一些边缘情况下的工作负载顺利完成而不会耗尽内存。你可以在[<u>这里</u>](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/800alpha003/apiref/envref/envref_07_0061.html)找到更多详细信息。"
#: ../../tutorials/single_npu_audio.md:43
msgid "Install packages required for audio processing:"
msgstr "安装音频处理所需的软件包："
#: ../../tutorials/single_npu_audio.md:50
msgid "Run the following script to execute offline inference on a single NPU:"
msgstr "运行以下脚本以在单个 NPU 上执行离线推理："
#: ../../tutorials/single_npu_audio.md:114
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："
#: ../../tutorials/single_npu_audio.md:120
msgid "Online Serving on Single NPU"
msgstr "单个 NPU 上的在线服务"
#: ../../tutorials/single_npu_audio.md:122
msgid ""
"Currently, vllm's OpenAI-compatible server doesn't support audio inputs, "
"find more details [<u>here</u>](https://github.com/vllm-"
"project/vllm/issues/19977)."
msgstr ""
"目前，vllm 的兼容 OpenAI 的服务器不支持音频输入，更多详情请查看[<u>这里</u>](https://github.com/vllm-"
"project/vllm/issues/19977)。"

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@@ -0,0 +1,99 @@
# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/single_npu_multimodal.md:1
msgid "Single NPU (Qwen2.5-VL 7B)"
msgstr "单个NPU（Qwen2.5-VL 7B）"
#: ../../tutorials/single_npu_multimodal.md:3
msgid "Run vllm-ascend on Single NPU"
msgstr "在单个 NPU 上运行 vllm-ascend"
#: ../../tutorials/single_npu_multimodal.md:5
msgid "Offline Inference on Single NPU"
msgstr "在单个NPU上进行离线推理"
#: ../../tutorials/single_npu_multimodal.md:7
msgid "Run docker container:"
msgstr "运行 docker 容器："
#: ../../tutorials/single_npu_multimodal.md:29
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/single_npu_multimodal.md:40
msgid ""
"`max_split_size_mb` prevents the native allocator from splitting blocks "
"larger than this size (in MB). This can reduce fragmentation and may allow "
"some borderline workloads to complete without running out of memory. You can"
" find more details "
"[<u>here</u>](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/800alpha003/apiref/envref/envref_07_0061.html)."
msgstr ""
"`max_split_size_mb` 防止本地分配器拆分超过此大小（以 MB "
"为单位）的内存块。这可以减少内存碎片，并且可能让一些边缘情况下的工作负载顺利完成而不会耗尽内存。你可以在[<u>这里</u>](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/800alpha003/apiref/envref/envref_07_0061.html)找到更多详细信息。"
#: ../../tutorials/single_npu_multimodal.md:43
msgid "Run the following script to execute offline inference on a single NPU:"
msgstr "运行以下脚本以在单个 NPU 上执行离线推理："
#: ../../tutorials/single_npu_multimodal.md:109
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："
#: ../../tutorials/single_npu_multimodal.md:121
msgid "Online Serving on Single NPU"
msgstr "单个 NPU 上的在线服务"
#: ../../tutorials/single_npu_multimodal.md:123
msgid "Run docker container to start the vLLM server on a single NPU:"
msgstr "运行 docker 容器，在单个 NPU 上启动 vLLM 服务器："
#: ../../tutorials/single_npu_multimodal.md:154
msgid ""
"Add `--max_model_len` option to avoid ValueError that the "
"Qwen2.5-VL-7B-Instruct model's max seq len (128000) is larger than the "
"maximum number of tokens that can be stored in KV cache. This will differ "
"with different NPU series base on the HBM size. Please modify the value "
"according to a suitable value for your NPU series."
msgstr ""
"新增 `--max_model_len` 选项，以避免出现 ValueError，即 Qwen2.5-VL-7B-Instruct "
"模型的最大序列长度（128000）大于 KV 缓存可存储的最大 token 数。该数值会根据不同 NPU 系列的 HBM 大小而不同。请根据你的 NPU"
" 系列，将该值设置为合适的数值。"
#: ../../tutorials/single_npu_multimodal.md:157
msgid "If your service start successfully, you can see the info shown below:"
msgstr "如果你的服务启动成功，你会看到如下所示的信息："
#: ../../tutorials/single_npu_multimodal.md:165
msgid ""
"Once your server is started, you can query the model with input prompts:"
msgstr "一旦你的服务器启动，你可以通过输入提示词来查询模型："
#: ../../tutorials/single_npu_multimodal.md:182
msgid ""
"If you query the server successfully, you can see the info shown below "
"(client):"
msgstr "如果你成功查询了服务器，你可以看到如下所示的信息（客户端）："
#: ../../tutorials/single_npu_multimodal.md:188
msgid "Logs of the vllm server:"
msgstr "vllm 服务器的日志："

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../tutorials/single_npu_qwen3_embedding.md:1
msgid "Single NPU (Qwen3-Embedding-8B)"
msgstr "单个NPU（Qwen3-Embedding-8B）"
#: ../../tutorials/single_npu_qwen3_embedding.md:3
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 Ascend. Note that only 0.9.2rc1 and higher versions of vLLM Ascend "
"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 Ascend "
"运行该模型。请注意，只有 vLLM Ascend 0.9.2rc1 及更高版本才支持该模型。"
#: ../../tutorials/single_npu_qwen3_embedding.md:5
msgid "Run docker container"
msgstr "运行 docker 容器"
#: ../../tutorials/single_npu_qwen3_embedding.md:7
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："
#: ../../tutorials/single_npu_qwen3_embedding.md:29
msgid "Setup environment variables:"
msgstr "设置环境变量："
#: ../../tutorials/single_npu_qwen3_embedding.md:39
msgid "Online Inference"
msgstr "在线推理"
#: ../../tutorials/single_npu_qwen3_embedding.md:45
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。"
#: ../../tutorials/single_npu_qwen3_embedding.md:56
msgid "Offline Inference"
msgstr "离线推理"
#: ../../tutorials/single_npu_qwen3_embedding.md:92
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："

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/configuration/additional_config.md:1
msgid "Additional Configuration"
msgstr "附加配置"
#: ../../user_guide/configuration/additional_config.md:3
msgid ""
"additional configuration is a mechanism provided by vLLM to allow plugins to"
" control inner behavior by their own. vLLM Ascend uses this mechanism to "
"make the project more flexible."
msgstr "额外配置是 vLLM 提供的一种机制，允许插件自行控制内部行为。vLLM Ascend 利用这种机制使项目更加灵活。"
#: ../../user_guide/configuration/additional_config.md:5
msgid "How to use"
msgstr "如何使用"
#: ../../user_guide/configuration/additional_config.md:7
msgid ""
"With either online mode or offline mode, users can use additional "
"configuration. Take Qwen3 as an example:"
msgstr "无论是在线模式还是离线模式，用户都可以使用额外的配置。以 Qwen3 为例："
#: ../../user_guide/configuration/additional_config.md:9
msgid "**Online mode**:"
msgstr "**在线模式**："
#: ../../user_guide/configuration/additional_config.md:15
msgid "**Offline mode**:"
msgstr "**离线模式**："
#: ../../user_guide/configuration/additional_config.md:23
msgid "Configuration options"
msgstr "配置选项"
#: ../../user_guide/configuration/additional_config.md:25
msgid ""
"The following table lists the additional configuration options available in "
"vLLM Ascend:"
msgstr "下表列出了 vLLM Ascend 中可用的其他配置选项："
#: ../../user_guide/configuration/additional_config.md
msgid "Name"
msgstr "名称"
#: ../../user_guide/configuration/additional_config.md
msgid "Type"
msgstr "类型"
#: ../../user_guide/configuration/additional_config.md
msgid "Default"
msgstr "默认"
#: ../../user_guide/configuration/additional_config.md
msgid "Description"
msgstr "描述"
#: ../../user_guide/configuration/additional_config.md
msgid "`torchair_graph_config`"
msgstr "`torchair_graph_config`"
#: ../../user_guide/configuration/additional_config.md
msgid "dict"
msgstr "dict"
#: ../../user_guide/configuration/additional_config.md
#, python-brace-format
msgid "`{}`"
msgstr "`{}`"
#: ../../user_guide/configuration/additional_config.md
msgid "The config options for torchair graph mode"
msgstr "torchair 图模式的配置选项"
#: ../../user_guide/configuration/additional_config.md
msgid "`ascend_scheduler_config`"
msgstr "`ascend_scheduler_config`"
#: ../../user_guide/configuration/additional_config.md
msgid "The config options for ascend scheduler"
msgstr "ascend 调度器的配置选项"
#: ../../user_guide/configuration/additional_config.md
msgid "`expert_tensor_parallel_size`"
msgstr "`expert_tensor_parallel_size`"
#: ../../user_guide/configuration/additional_config.md
msgid "str"
msgstr "str"
#: ../../user_guide/configuration/additional_config.md
msgid "`0`"
msgstr "`0`"
#: ../../user_guide/configuration/additional_config.md
msgid "Expert tensor parallel size the model to use."
msgstr "专家张量并行的模型大小设置。"
#: ../../user_guide/configuration/additional_config.md
msgid "`refresh`"
msgstr "`刷新`"
#: ../../user_guide/configuration/additional_config.md
msgid "bool"
msgstr "bool"
#: ../../user_guide/configuration/additional_config.md
msgid "`false`"
msgstr "`false`"
#: ../../user_guide/configuration/additional_config.md
msgid ""
"Whether to refresh global ascend config content. This value is usually used "
"by rlhf or ut/e2e test case."
msgstr "是否刷新全局 ascend 配置信息。此值通常由 rlhf 或 ut/e2e 测试用例使用。"
#: ../../user_guide/configuration/additional_config.md
msgid "`expert_map_path`"
msgstr "`expert_map_path`"
#: ../../user_guide/configuration/additional_config.md
msgid "`None`"
msgstr "`None`"
#: ../../user_guide/configuration/additional_config.md
msgid ""
"When using expert load balancing for the MOE model, an expert map path needs"
" to be passed in."
msgstr "在为MOE模型使用专家负载均衡时，需要传入专家映射路径。"
#: ../../user_guide/configuration/additional_config.md
msgid "`chunked_prefill_for_mla`"
msgstr "`chunked_prefill_for_mla`"
#: ../../user_guide/configuration/additional_config.md
msgid "`False`"
msgstr "`False`"
#: ../../user_guide/configuration/additional_config.md
msgid "Whether to enable the fused operator-like chunked_prefill."
msgstr "是否启用类似算子融合的 chunked_prefill 功能。"
#: ../../user_guide/configuration/additional_config.md
msgid "`kv_cache_dtype`"
msgstr "`kv_cache_dtype`"
#: ../../user_guide/configuration/additional_config.md
msgid ""
"When using the kv cache quantization method, kv cache dtype needs to be set,"
" currently only int8 is supported."
msgstr "当使用kv缓存量化方法时，需要设置kv缓存的数据类型，目前仅支持int8。"
#: ../../user_guide/configuration/additional_config.md:37
msgid "The details of each config option are as follows:"
msgstr "每个配置选项的详细信息如下："
#: ../../user_guide/configuration/additional_config.md:39
msgid "**torchair_graph_config**"
msgstr "**torchair_graph_config**"
#: ../../user_guide/configuration/additional_config.md
msgid "`enabled`"
msgstr "`启用`"
#: ../../user_guide/configuration/additional_config.md
msgid ""
"Whether to enable torchair graph mode. Currently only DeepSeek series models"
" and PanguProMoE are supported to use torchair graph mode"
msgstr "是否启用 torchair 图模式。目前仅支持 DeepSeek 系列模型和 PanguProMoE 使用 torchair 图模式。"
#: ../../user_guide/configuration/additional_config.md
msgid "`enable_multistream_mla`"
msgstr "`enable_multistream_mla`"
#: ../../user_guide/configuration/additional_config.md
msgid ""
"Whether to put vector ops of MLA to another stream. This option only takes "
"effects on models using MLA (e.g., DeepSeek)."
msgstr "是否将MLA的向量操作放到另一个流中。此选项仅对使用MLA的模型（例如，DeepSeek）有效。"
#: ../../user_guide/configuration/additional_config.md
msgid "`enable_multistream_moe`"
msgstr "`enable_multistream_moe`"
#: ../../user_guide/configuration/additional_config.md
msgid ""
"Whether to enable multistream shared expert. This option only takes effects "
"on DeepSeek moe models."
msgstr "是否启用多流共享专家功能。此选项仅对 DeepSeek MoE 模型生效。"
#: ../../user_guide/configuration/additional_config.md
msgid "`enable_view_optimize`"
msgstr "`enable_view_optimize` （启用视图优化）"
#: ../../user_guide/configuration/additional_config.md
msgid "`True`"
msgstr "`True`"
#: ../../user_guide/configuration/additional_config.md
msgid "Whether to enable torchair view optimization"
msgstr "是否启用torchair视图优化"
#: ../../user_guide/configuration/additional_config.md
msgid "`use_cached_graph`"
msgstr "`use_cached_graph`"
#: ../../user_guide/configuration/additional_config.md
msgid "Whether to use cached graph"
msgstr "是否使用缓存的图"
#: ../../user_guide/configuration/additional_config.md
msgid "`graph_batch_sizes`"
msgstr "`graph_batch_sizes`"
#: ../../user_guide/configuration/additional_config.md
msgid "list[int]"
msgstr "list[int]"
#: ../../user_guide/configuration/additional_config.md
msgid "`[]`"
msgstr "`[]`"
#: ../../user_guide/configuration/additional_config.md
msgid "The batch size for torchair graph cache"
msgstr "torchair 图缓存的批量大小"
#: ../../user_guide/configuration/additional_config.md
msgid "`graph_batch_sizes_init`"
msgstr "`graph_batch_sizes_init`"
#: ../../user_guide/configuration/additional_config.md
msgid "Init graph batch size dynamically if `graph_batch_sizes` is empty"
msgstr "如果 `graph_batch_sizes` 为空，则动态初始化图批大小"
#: ../../user_guide/configuration/additional_config.md
msgid "`enable_kv_nz`"
msgstr "`enable_kv_nz`"
#: ../../user_guide/configuration/additional_config.md
msgid ""
"Whether to enable kvcache NZ layout. This option only takes effects on "
"models using MLA (e.g., DeepSeek)."
msgstr "是否启用 kvcache NZ 布局。此选项仅对使用 MLA 的模型（例如 DeepSeek）生效。"
#: ../../user_guide/configuration/additional_config.md:52
msgid "**ascend_scheduler_config**"
msgstr "**ascend_scheduler_config**"
#: ../../user_guide/configuration/additional_config.md
msgid "Whether to enable ascend scheduler for V1 engine"
msgstr "是否为 V1 引擎启用 ascend 调度器"
#: ../../user_guide/configuration/additional_config.md:58
msgid ""
"ascend_scheduler_config also support the options from [vllm scheduler "
"config](https://docs.vllm.ai/en/stable/api/vllm/config.html#vllm.config.SchedulerConfig)."
" For example, you can add `enable_chunked_prefill: True` to "
"ascend_scheduler_config as well."
msgstr ""
"ascend_scheduler_config 也支持来自 [vllm scheduler "
"config](https://docs.vllm.ai/en/stable/api/vllm/config.html#vllm.config.SchedulerConfig)"
" 的选项。例如，你也可以在 ascend_scheduler_config 中添加 `enable_chunked_prefill: True`。"
#: ../../user_guide/configuration/additional_config.md:60
msgid "Example"
msgstr "示例"
#: ../../user_guide/configuration/additional_config.md:62
msgid "An example of additional configuration is as follows:"
msgstr "以下是额外配置的一个示例："

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@@ -0,0 +1,28 @@
# Translations template for PROJECT.
# Copyright (C) 2025 ORGANIZATION
# This file is distributed under the same license as the PROJECT project.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: PROJECT VERSION\n"
"Report-Msgid-Bugs-To: EMAIL@ADDRESS\n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\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"
#: ../../user_guide/configuration/env_vars.md:1
msgid "Environment Variables"
msgstr "环境变量"
#: ../../user_guide/configuration/env_vars.md:3
msgid ""
"vllm-ascend uses the following environment variables to configure the "
"system:"
msgstr "vllm-ascend 使用以下环境变量来配置系统："

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/configuration/index.md:1
#: ../../user_guide/configuration/index.md:5
msgid "Configuration Guide"
msgstr "配置指南"
#: ../../user_guide/configuration/index.md:3
msgid "This section provides a detailed configuration guide of vLLM Ascend."
msgstr "本节提供了 vLLM Ascend 的详细配置指南。"

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# Translations template for PROJECT.
# Copyright (C) 2025 ORGANIZATION
# This file is distributed under the same license as the PROJECT project.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: PROJECT VERSION\n"
"Report-Msgid-Bugs-To: EMAIL@ADDRESS\n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\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"
#: ../../user_guide/feature_guide/graph_mode.md:1
msgid "Graph Mode Guide"
msgstr "图模式指南"
#: ../../user_guide/feature_guide/graph_mode.md:4
msgid ""
"This feature is currently experimental. In future versions, there may be "
"behavioral changes around configuration, coverage, performance improvement."
msgstr "此功能目前为实验性功能。在未来的版本中，配置、覆盖率和性能改进等方面的行为可能会有变化。"
#: ../../user_guide/feature_guide/graph_mode.md:7
msgid ""
"This guide provides instructions for using Ascend Graph Mode with vLLM "
"Ascend. Please note that graph mode is only available on V1 Engine. And only"
" Qwen, DeepSeek series models are well tested from 0.9.0rc1. We'll make it "
"stable and generalize in the next release."
msgstr ""
"本指南提供了在 vLLM Ascend 上使用 Ascend 图模式的操作说明。请注意，图模式仅在 V1 引擎上可用，并且从 0.9.0rc1 起，仅对"
" Qwen、DeepSeek 系列模型进行了充分测试。我们将在下一个版本中使其更加稳定和通用。"
#: ../../user_guide/feature_guide/graph_mode.md:9
msgid "Getting Started"
msgstr "快速入门"
#: ../../user_guide/feature_guide/graph_mode.md:11
msgid ""
"From v0.9.1rc1 with V1 Engine, vLLM Ascend will run models in graph mode by "
"default to keep the same behavior with vLLM. If you hit any issues, please "
"feel free to open an issue on GitHub and fallback to eager mode temporarily "
"by set `enforce_eager=True` when initializing the model."
msgstr ""
"从 v0.9.1rc1 版本起，使用 V1 引擎时，vLLM Ascend 默认将在图模式下运行模型，以保持与 vLLM "
"同样的行为。如果遇到任何问题，欢迎在 GitHub 上提交 issue，并在初始化模型时通过设置 `enforce_eager=True` 临时切换回 "
"eager 模式。"
#: ../../user_guide/feature_guide/graph_mode.md:13
msgid "There are two kinds for graph mode supported by vLLM Ascend:"
msgstr "vLLM Ascend 支持两种图模式："
#: ../../user_guide/feature_guide/graph_mode.md:14
msgid ""
"**ACLGraph**: This is the default graph mode supported by vLLM Ascend. In "
"v0.9.1rc1, only Qwen series models are well tested."
msgstr ""
"**ACLGraph**：这是 vLLM Ascend 支持的默认图模式。在 v0.9.1rc1 版本中，只有 Qwen 系列模型得到了充分测试。"
#: ../../user_guide/feature_guide/graph_mode.md:15
msgid ""
"**TorchAirGraph**: This is the GE graph mode. In v0.9.1rc1, only DeepSeek "
"series models are supported."
msgstr "**TorchAirGraph**：这是GE图模式。在v0.9.1rc1版本中，仅支持DeepSeek系列模型。"
#: ../../user_guide/feature_guide/graph_mode.md:17
msgid "Using ACLGraph"
msgstr "使用 ACLGraph"
#: ../../user_guide/feature_guide/graph_mode.md:18
msgid ""
"ACLGraph is enabled by default. Take Qwen series models as an example, just "
"set to use V1 Engine is enough."
msgstr "ACLGraph 默认启用。以 Qwen 系列模型为例，只需设置为使用 V1 引擎即可。"
#: ../../user_guide/feature_guide/graph_mode.md:20
#: ../../user_guide/feature_guide/graph_mode.md:41
#: ../../user_guide/feature_guide/graph_mode.md:64
msgid "offline example:"
msgstr "离线示例："
#: ../../user_guide/feature_guide/graph_mode.md:31
#: ../../user_guide/feature_guide/graph_mode.md:52
#: ../../user_guide/feature_guide/graph_mode.md:74
msgid "online example:"
msgstr "在线示例："
#: ../../user_guide/feature_guide/graph_mode.md:37
msgid "Using TorchAirGraph"
msgstr "使用 TorchAirGraph"
#: ../../user_guide/feature_guide/graph_mode.md:39
msgid ""
"If you want to run DeepSeek series models with graph mode, you should use "
"[TorchAirGraph](https://www.hiascend.com/document/detail/zh/Pytorch/700/modthirdparty/torchairuseguide/torchair_0002.html)."
" In this case, additional config is required."
msgstr ""
"如果你想通过图模式运行 DeepSeek 系列模型，你应该使用 "
"[TorchAirGraph](https://www.hiascend.com/document/detail/zh/Pytorch/700/modthirdparty/torchairuseguide/torchair_0002.html)。在这种情况下，需要额外的配置。"
#: ../../user_guide/feature_guide/graph_mode.md:58
msgid ""
"You can find more detail about additional config "
"[here](../configuration/additional_config.md)."
msgstr "你可以在[这里](../configuration/additional_config.md)找到关于附加配置的更多详细信息。"
#: ../../user_guide/feature_guide/graph_mode.md:60
msgid "Fallback to Eager Mode"
msgstr "回退到 Eager 模式"
#: ../../user_guide/feature_guide/graph_mode.md:62
msgid ""
"If both `ACLGraph` and `TorchAirGraph` fail to run, you should fallback to "
"eager mode."
msgstr "如果 `ACLGraph` 和 `TorchAirGraph` 都无法运行，你应该退回到 eager 模式。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/feature_guide/index.md:1
#: ../../user_guide/feature_guide/index.md:5
msgid "Feature Guide"
msgstr "功能指南"
#: ../../user_guide/feature_guide/index.md:3
msgid "This section provides a detailed usage guide of vLLM Ascend features."
msgstr "本节提供了 vLLM Ascend 功能的详细使用指南。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/feature_guide/lora.md:1
msgid "LoRA Adapters Guide"
msgstr "LoRA 适配器指南"
#: ../../user_guide/feature_guide/lora.md:3
msgid ""
"Like vLLM, vllm-ascend supports LoRA as well. The usage and more details can"
" be found in [vLLM official "
"document](https://docs.vllm.ai/en/latest/features/lora.html)."
msgstr ""
"与 vLLM 类似，vllm-ascend 也支持 LoRA。用法及更多详情可参见 [vLLM "
"官方文档](https://docs.vllm.ai/en/latest/features/lora.html)。"
#: ../../user_guide/feature_guide/lora.md:5
msgid ""
"You can also refer to "
"[this](https://docs.vllm.ai/en/latest/models/supported_models.html#list-of-"
"text-only-language-models) to find which models support LoRA in vLLM."
msgstr ""
"你也可以参考[这个链接](https://docs.vllm.ai/en/latest/models/supported_models.html#list-"
"of-text-only-language-models)来查找哪些模型在 vLLM 中支持 LoRA。"
#: ../../user_guide/feature_guide/lora.md:7
msgid "Tips"
msgstr "提示"
#: ../../user_guide/feature_guide/lora.md:8
msgid ""
"If you fail to run vllm-ascend with LoRA, you may follow [this "
"instruction](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html#fallback-"
"to-eager-mode) to disable graph mode and try again."
msgstr ""
"如果你在使用 LoRA 运行 vllm-ascend 时失败，可以按照[此说明](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html#fallback-"
"to-eager-mode)禁用图模式后再重试。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/feature_guide/quantization.md:1
msgid "Quantization Guide"
msgstr "量化指南"
#: ../../user_guide/feature_guide/quantization.md:3
msgid ""
"Model quantization is a technique that reduces the size and computational "
"requirements of a model by lowering the data precision of the weights and "
"activation values in the model, thereby saving the memory and improving the "
"inference speed."
msgstr "模型量化是一种通过降低模型中权重和激活值的数据精度，从而减少模型大小和计算需求的技术，这样可以节省内存并提高推理速度。"
#: ../../user_guide/feature_guide/quantization.md:5
msgid ""
"Since 0.9.0rc2 version, quantization feature is experimentally supported in "
"vLLM Ascend. Users can enable quantization feature by specifying "
"`--quantization ascend`. Currently, only Qwen, DeepSeek series models are "
"well tested. We’ll support more quantization algorithm and models in the "
"future."
msgstr ""
"自 0.9.0rc2 版本起，vLLM Ascend 实验性地支持量化特性。用户可以通过指定 `--quantization ascend` "
"启用量化功能。目前，只有 Qwen、DeepSeek 系列模型经过了充分测试。未来我们将支持更多的量化算法和模型。"
#: ../../user_guide/feature_guide/quantization.md:7
msgid "Install modelslim"
msgstr "安装 modelslim"
#: ../../user_guide/feature_guide/quantization.md:9
msgid ""
"To quantize a model, users should install "
"[ModelSlim](https://gitee.com/ascend/msit/blob/master/msmodelslim/README.md)"
" which is the Ascend compression and acceleration tool. It is an affinity-"
"based compression tool designed for acceleration, using compression as its "
"core technology and built upon the Ascend platform."
msgstr ""
"要对模型进行量化，用户应安装[ModelSlim](https://gitee.com/ascend/msit/blob/master/msmodelslim/README.md)，这是昇腾的压缩与加速工具。它是一种基于亲和性的压缩工具，专为加速设计，以压缩为核心技术，并基于昇腾平台构建。"
#: ../../user_guide/feature_guide/quantization.md:11
msgid ""
"Currently, only the specific tag [modelslim-"
"VLLM-8.1.RC1.b020_001](https://gitee.com/ascend/msit/blob/modelslim-"
"VLLM-8.1.RC1.b020_001/msmodelslim/README.md) of modelslim works with vLLM "
"Ascend. Please do not install other version until modelslim master version "
"is available for vLLM Ascend in the future."
msgstr ""
"目前，只有 modelslim 的特定标签 [modelslim-"
"VLLM-8.1.RC1.b020_001](https://gitee.com/ascend/msit/blob/modelslim-"
"VLLM-8.1.RC1.b020_001/msmodelslim/README.md) 支持 vLLM Ascend。在未来 modelslim "
"的主版本支持 vLLM Ascend 之前，请不要安装其他版本。"
#: ../../user_guide/feature_guide/quantization.md:13
msgid "Install modelslim:"
msgstr "安装 modelslim："
#: ../../user_guide/feature_guide/quantization.md:21
msgid "Quantize model"
msgstr "量化模型"
#: ../../user_guide/feature_guide/quantization.md:23
#, python-format
msgid ""
"Take [DeepSeek-V2-Lite](https://modelscope.cn/models/deepseek-"
"ai/DeepSeek-V2-Lite) as an example, you just need to download the model, and"
" then execute the convert command. The command is shown below. More info can"
" be found in modelslim doc [deepseek w8a8 dynamic quantization "
"docs](https://gitee.com/ascend/msit/blob/modelslim-"
"VLLM-8.1.RC1.b020_001/msmodelslim/example/DeepSeek/README.md#deepseek-v2-w8a8-dynamic%E9%87%8F%E5%8C%96)."
msgstr ""
"以 [DeepSeek-V2-Lite](https://modelscope.cn/models/deepseek-"
"ai/DeepSeek-V2-Lite) 为例，你只需要下载模型，然后执行转换命令。命令如下所示。更多信息可参考 modelslim 文档 "
"[deepseek w8a8 动态量化文档](https://gitee.com/ascend/msit/blob/modelslim-"
"VLLM-8.1.RC1.b020_001/msmodelslim/example/DeepSeek/README.md#deepseek-v2-w8a8-dynamic%E9%87%8F%E5%8C%96)。"
#: ../../user_guide/feature_guide/quantization.md:32
msgid ""
"You can also download the quantized model that we uploaded. Please note that"
" these weights should be used for test only. For example, "
"https://www.modelscope.cn/models/vllm-ascend/DeepSeek-V2-Lite-W8A8"
msgstr ""
"你也可以下载我们上传的量化模型。请注意，这些权重仅应用于测试。例如：https://www.modelscope.cn/models/vllm-"
"ascend/DeepSeek-V2-Lite-W8A8"
#: ../../user_guide/feature_guide/quantization.md:35
msgid "Once convert action is done, there are two important files generated."
msgstr "转换操作完成后，会生成两个重要的文件。"
#: ../../user_guide/feature_guide/quantization.md:37
msgid ""
"[config.json](https://www.modelscope.cn/models/vllm-"
"ascend/DeepSeek-V2-Lite-W8A8/file/view/master/config.json?status=1). Please "
"make sure that there is no `quantization_config` field in it."
msgstr ""
"[config.json](https://www.modelscope.cn/models/vllm-"
"ascend/DeepSeek-V2-Lite-W8A8/file/view/master/config.json?status=1)。请确保其中没有 "
"`quantization_config` 字段。"
#: ../../user_guide/feature_guide/quantization.md:39
msgid ""
"[quant_model_description.json](https://www.modelscope.cn/models/vllm-"
"ascend/DeepSeek-V2-Lite-W8A8/file/view/master/quant_model_description.json?status=1)."
" All the converted weights info are recorded in this file."
msgstr ""
"[quant_model_description.json](https://www.modelscope.cn/models/vllm-"
"ascend/DeepSeek-V2-Lite-W8A8/file/view/master/quant_model_description.json?status=1)。所有被转换的权重信息都记录在该文件中。"
#: ../../user_guide/feature_guide/quantization.md:41
msgid "Here is the full converted model files:"
msgstr "以下是完整转换后的模型文件："
#: ../../user_guide/feature_guide/quantization.md:60
msgid "Run the model"
msgstr "运行模型"
#: ../../user_guide/feature_guide/quantization.md:62
msgid ""
"Now, you can run the quantized models with vLLM Ascend. Here is the example "
"for online and offline inference."
msgstr "现在，你可以使用 vLLM Ascend 运行量化模型。下面是在线和离线推理的示例。"
#: ../../user_guide/feature_guide/quantization.md:64
msgid "Offline inference"
msgstr "离线推理"
#: ../../user_guide/feature_guide/quantization.md:90
msgid "Online inference"
msgstr "在线推理"
#: ../../user_guide/feature_guide/quantization.md:97
msgid "FAQs"
msgstr "常见问题解答"
#: ../../user_guide/feature_guide/quantization.md:99
msgid ""
"1. How to solve the KeyError: 'xxx.layers.0.self_attn.q_proj.weight' "
"problem?"
msgstr "1. 如何解决 KeyError: 'xxx.layers.0.self_attn.q_proj.weight' 问题？"
#: ../../user_guide/feature_guide/quantization.md:101
msgid ""
"First, make sure you specify `ascend` quantization method. Second, check if "
"your model is converted by this `modelslim-VLLM-8.1.RC1.b020_001` modelslim "
"version. Finally, if it still doesn't work, please submit a issue, maybe "
"some new models need to be adapted."
msgstr ""
"首先，请确保你指定了 `ascend` 量化方法。其次，检查你的模型是否由 `modelslim-VLLM-8.1.RC1.b020_001` 这个 "
"modelslim 版本转换。如果仍然无法使用，请提交一个 issue，可能有一些新模型需要适配。"
#: ../../user_guide/feature_guide/quantization.md:104
msgid ""
"2. How to solve the error \"Could not locate the "
"configuration_deepseek.py\"?"
msgstr "2. 如何解决“无法找到 configuration_deepseek.py”错误？"
#: ../../user_guide/feature_guide/quantization.md:106
msgid ""
"Please convert DeepSeek series models using `modelslim-"
"VLLM-8.1.RC1.b020_001` modelslim, this version has fixed the missing "
"configuration_deepseek.py error."
msgstr ""
"请使用 `modelslim-VLLM-8.1.RC1.b020_001` 的 modelslim 转换 DeepSeek 系列模型，该版本已修复缺少 "
"configuration_deepseek.py 的错误。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/feature_guide/sleep_mode.md:1
msgid "Sleep Mode Guide"
msgstr "睡眠模式指南"
#: ../../user_guide/feature_guide/sleep_mode.md:3
msgid "Overview"
msgstr "概述"
#: ../../user_guide/feature_guide/sleep_mode.md:5
msgid ""
"Sleep Mode is an API designed to offload model weights and discard KV cache "
"from NPU memory. This functionality is essential for reinforcement learning "
"(RL) post-training workloads, particularly in online algorithms such as PPO,"
" GRPO, or DPO. During training, the policy model typically performs auto-"
"regressive generation using inference engines like vLLM, followed by forward"
" and backward passes for optimization."
msgstr ""
"Sleep Mode 是一个用于卸载模型权重并清除 NPU 内存中 KV 缓存的 API。此功能对于强化学习（RL）后训练任务尤其重要，特别是在 "
"PPO、GRPO 或 DPO 等在线算法中。在训练过程中，策略模型通常会使用像 vLLM "
"这样的推理引擎进行自回归生成，然后进行前向和反向传播以进行优化。"
#: ../../user_guide/feature_guide/sleep_mode.md:7
msgid ""
"Since the generation and training phases may employ different model "
"parallelism strategies, it becomes crucial to free KV cache and even offload"
" model parameters stored within vLLM during training. This ensures efficient"
" memory utilization and avoids resource contention on the NPU."
msgstr ""
"由于生成和训练阶段可能采用不同的模型并行策略，因此在训练过程中及时释放 KV 缓存，甚至卸载存储在 vLLM "
"内的模型参数变得至关重要。这可以确保内存的高效利用，并避免 NPU 上的资源争用。"
#: ../../user_guide/feature_guide/sleep_mode.md:10
msgid "Getting started"
msgstr "快速上手"
#: ../../user_guide/feature_guide/sleep_mode.md:12
#, python-brace-format
msgid ""
"With `enable_sleep_mode=True`, the way we manage memory(malloc, free) in "
"vllm will under a specific memory pool, during loading model and initialize "
"kv_caches, we tag the memory as a map: `{\"weight\": data, \"kv_cache\": "
"data}`."
msgstr ""
"当 `enable_sleep_mode=True` 时，我们在 vllm 中管理内存（malloc, "
"free）的方式会在一个特定的内存池下进行，在加载模型和初始化 kv_caches "
"期间，我们会将内存打上标签，组织成一个映射：`{\"weight\": data, \"kv_cache\": data}`。"
#: ../../user_guide/feature_guide/sleep_mode.md:14
msgid ""
"The engine(v0/v1) supports two sleep levels to manage memory during idle "
"periods:"
msgstr "该引擎（v0/v1）支持两种睡眠等级，以在空闲期间管理内存："
#: ../../user_guide/feature_guide/sleep_mode.md:16
msgid "Level 1 Sleep"
msgstr "一级睡眠"
#: ../../user_guide/feature_guide/sleep_mode.md:17
msgid "Action: Offloads model weights and discards the KV cache."
msgstr "操作：卸载模型权重并清除KV缓存。"
#: ../../user_guide/feature_guide/sleep_mode.md:18
msgid "Memory: Model weights are moved to CPU memory; KV cache is forgotten."
msgstr "内存：模型权重被移动到CPU内存；KV缓存被清除。"
#: ../../user_guide/feature_guide/sleep_mode.md:19
msgid "Use Case: Suitable when reusing the same model later."
msgstr "用例：适用于之后需要重复使用同一个模型的情况。"
#: ../../user_guide/feature_guide/sleep_mode.md:20
msgid ""
"Note: Ensure sufficient CPU memory is available to hold the model weights."
msgstr "注意：请确保有足够的CPU内存来存储模型权重。"
#: ../../user_guide/feature_guide/sleep_mode.md:22
msgid "Level 2 Sleep"
msgstr "二级睡眠"
#: ../../user_guide/feature_guide/sleep_mode.md:23
msgid "Action: Discards both model weights and KV cache."
msgstr "操作：同时丢弃模型权重和KV缓存。"
#: ../../user_guide/feature_guide/sleep_mode.md:24
msgid ""
"Memory: The content of both the model weights and kv cache is forgotten."
msgstr "内存：模型权重和kv缓存的内容都会被遗忘。"
#: ../../user_guide/feature_guide/sleep_mode.md:25
msgid ""
"Use Case: Ideal when switching to a different model or updating the current "
"one."
msgstr "用例：当切换到不同的模型或更新当前模型时非常理想。"
#: ../../user_guide/feature_guide/sleep_mode.md:27
msgid ""
"Since this feature uses the low-level API "
"[AscendCL](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1alpha002/API/appdevgapi/appdevgapi_07_0000.html),"
" in order to use sleep mode, you should follow the [installation "
"guide](https://vllm-ascend.readthedocs.io/en/latest/installation.html) and "
"building from source, if you are using v0.7.3, remember to set `export "
"COMPILE_CUSTOM_KERNELS=1`, for the latest version(v0.9.x+), the environment "
"variable `COMPILE_CUSTOM_KERNELS` will be set 1 by default while building "
"from source."
msgstr ""
"由于此功能使用了底层 API "
"[AscendCL](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1alpha002/API/appdevgapi/appdevgapi_07_0000.html)，为了使用休眠模式，你应按照[安装指南](https://vllm-"
"ascend.readthedocs.io/en/latest/installation.html)进行操作，并从源码编译。如果你使用的是 "
"v0.7.3，请记得设置 `export COMPILE_CUSTOM_KERNELS=1` ；对于最新版本（v0.9.x+），在从源码编译时环境变量 "
"`COMPILE_CUSTOM_KERNELS` 默认会被设置为 1。"
#: ../../user_guide/feature_guide/sleep_mode.md:29
msgid "Usage"
msgstr "用法"
#: ../../user_guide/feature_guide/sleep_mode.md:31
msgid "The following is a simple example of how to use sleep mode."
msgstr "以下是如何使用睡眠模式的一个简单示例。"
#: ../../user_guide/feature_guide/sleep_mode.md:33
msgid "offline inference:"
msgstr "离线推理："
#: ../../user_guide/feature_guide/sleep_mode.md:72
msgid "online serving:"
msgstr "在线服务："
#: ../../user_guide/feature_guide/sleep_mode.md:74
msgid ""
"Considering there may be a risk of malicious access, please make sure you "
"are under a dev-mode, and explicit specify the develop env: "
"`VLLM_SERVER_DEV_MODE` to expose these endpoints(sleep/wake up)."
msgstr ""
"鉴于可能存在恶意访问的风险，请确保您处于开发模式，并明确指定开发环境：`VLLM_SERVER_DEV_MODE`，以便开放这些端点（sleep/wake"
" up）。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/feature_guide/structured_output.md:1
msgid "Structured Output Guide"
msgstr "结构化输出指南"
#: ../../user_guide/feature_guide/structured_output.md:3
msgid "Overview"
msgstr "概述"
#: ../../user_guide/feature_guide/structured_output.md:5
msgid "What is Structured Output?"
msgstr "什么是结构化输出？"
#: ../../user_guide/feature_guide/structured_output.md:7
msgid ""
"LLMs can be unpredictable when you need output in specific formats. Think of"
" asking a model to generate JSON - without guidance, it might produce valid "
"text that breaks JSON specification. **Structured Output (also called Guided"
" Decoding)** enables LLMs to generate outputs that follow a desired "
"structure while preserving the non-deterministic nature of the system."
msgstr ""
"当你需要特定格式输出时，大型语言模型（LLMs）可能表现出不可预测性。比如让模型生成 "
"JSON，如果没有指导，模型可能会生成有效的文本，但这些文本却不符合 JSON 规范。**结构化输出（也称为引导解码）** "
"能让大型语言模型生成符合预期结构的输出，同时保留系统的非确定性特性。"
#: ../../user_guide/feature_guide/structured_output.md:9
msgid ""
"In simple terms, structured decoding gives LLMs a “template” to follow. "
"Users provide a schema that “influences” the model’s output, ensuring "
"compliance with the desired structure."
msgstr "简单来说，结构化解码为LLM提供了一个“模板”来遵循。用户提供一个模式来“影响”模型的输出，从而确保输出符合期望的结构。"
#: ../../user_guide/feature_guide/structured_output.md:11
msgid "![structured decoding](./images/structured_output_1.png)"
msgstr "![结构化解码](./images/structured_output_1.png)"
#: ../../user_guide/feature_guide/structured_output.md:11
msgid "structured decoding"
msgstr "结构化解码"
#: ../../user_guide/feature_guide/structured_output.md:13
msgid "Structured Output in vllm-ascend"
msgstr "vllm-ascend 中的结构化输出"
#: ../../user_guide/feature_guide/structured_output.md:15
msgid ""
"Currently, vllm-ascend supports **xgrammar** and **guidance** backend for "
"structured output with vllm v1 engine."
msgstr "目前，vllm-ascend 支持 vllm v1 引擎的结构化输出，后端包括 **xgrammar** 和 **guidance**。"
#: ../../user_guide/feature_guide/structured_output.md:17
msgid ""
"XGrammar introduces a new technique that batch constrained decoding via "
"pushdown automaton (PDA). You can think of a PDA as a “collection of FSMs, "
"and each FSM represents a context-free grammar (CFG).” One significant "
"advantage of PDA is its recursive nature, allowing us to execute multiple "
"state transitions. They also include additional optimisation (for those who "
"are interested) to reduce grammar compilation overhead. Besides, you can "
"also find more details about guidance by yourself."
msgstr ""
"XGrammar 引入了一种通过下推自动机（PDA）进行批量约束解码的新技术。你可以把 PDA 理解为“有限状态机（FSM）的集合，每个 FSM "
"代表一个上下文无关文法（CFG）。” PDA 的一个重要优点是其递归特性，使我们能够执行多次状态转移。此外，PDA "
"还包含了额外的优化（供感兴趣的用户参考），以减少语法编译的开销。除此之外，你还可以自己找到更多关于指导的信息。"
#: ../../user_guide/feature_guide/structured_output.md:19
msgid "How to Use Structured Output?"
msgstr "如何使用结构化输出？"
#: ../../user_guide/feature_guide/structured_output.md:21
msgid "Online Inference"
msgstr "在线推理"
#: ../../user_guide/feature_guide/structured_output.md:23
msgid ""
"You can also generate structured outputs using the OpenAI's Completions and "
"Chat API. The following parameters are supported, which must be added as "
"extra parameters:"
msgstr "你也可以使用 OpenAI 的 Completions 和 Chat API 生成结构化输出。支持以下参数，这些参数必须作为额外参数添加："
#: ../../user_guide/feature_guide/structured_output.md:25
msgid "`guided_choice`: the output will be exactly one of the choices."
msgstr "`guided_choice`：输出将会是其中一个选项。"
#: ../../user_guide/feature_guide/structured_output.md:26
msgid "`guided_regex`: the output will follow the regex pattern."
msgstr "`guided_regex`：输出将遵循正则表达式模式。"
#: ../../user_guide/feature_guide/structured_output.md:27
msgid "`guided_json`: the output will follow the JSON schema."
msgstr "`guided_json`：输出将遵循 JSON 架构。"
#: ../../user_guide/feature_guide/structured_output.md:28
msgid "`guided_grammar`: the output will follow the context free grammar."
msgstr "`guided_grammar`：输出将遵循上下文无关文法。"
#: ../../user_guide/feature_guide/structured_output.md:30
msgid ""
"Structured outputs are supported by default in the OpenAI-Compatible Server."
" You can choose to specify the backend to use by setting the `--guided-"
"decoding-backend` flag to vllm serve. The default backend is `auto`, which "
"will try to choose an appropriate backend based on the details of the "
"request. You may also choose a specific backend, along with some options."
msgstr ""
"OpenAI 兼容服务器默认支持结构化输出。你可以通过设置 `--guided-decoding-backend` 标志为 vllm serve "
"来指定要使用的后端。默认后端为 `auto`，它会根据请求的详细信息尝试选择合适的后端。你也可以选择特定的后端，并设置一些选项。"
#: ../../user_guide/feature_guide/structured_output.md:32
msgid ""
"Now let´s see an example for each of the cases, starting with the "
"guided_choice, as it´s the easiest one:"
msgstr "现在让我们来看每种情况的示例，首先是 guided_choice，因为它是最简单的："
#: ../../user_guide/feature_guide/structured_output.md:51
msgid ""
"The next example shows how to use the guided_regex. The idea is to generate "
"an email address, given a simple regex template:"
msgstr "下一个例子展示了如何使用 guided_regex。其思路是基于一个简单的正则表达式模板生成一个电子邮件地址："
#: ../../user_guide/feature_guide/structured_output.md:67
msgid ""
"One of the most relevant features in structured text generation is the "
"option to generate a valid JSON with pre-defined fields and formats. For "
"this we can use the guided_json parameter in two different ways:"
msgstr ""
"在结构化文本生成中，最相关的特性之一是能够生成具有预定义字段和格式的有效 JSON。为此，我们可以通过两种不同的方式使用 guided_json 参数："
#: ../../user_guide/feature_guide/structured_output.md:69
msgid "Using a JSON Schema."
msgstr "使用 JSON 架构。"
#: ../../user_guide/feature_guide/structured_output.md:70
msgid "Defining a Pydantic model and then extracting the JSON Schema from it."
msgstr "定义一个 Pydantic 模型，然后从中提取 JSON Schema。"
#: ../../user_guide/feature_guide/structured_output.md:72
msgid ""
"The next example shows how to use the guided_json parameter with a Pydantic "
"model:"
msgstr "下一个示例展示了如何将 guided_json 参数与 Pydantic 模型一起使用："
#: ../../user_guide/feature_guide/structured_output.md:104
msgid ""
"Finally we have the guided_grammar option, which is probably the most "
"difficult to use, but it´s really powerful. It allows us to define complete "
"languages like SQL queries. It works by using a context free EBNF grammar. "
"As an example, we can use to define a specific format of simplified SQL "
"queries:"
msgstr ""
"最后，我们有 guided_grammar 选项，这可能是最难使用的，但它非常强大。它允许我们定义完整的语言，比如 SQL 查询。它通过使用上下文无关的"
" EBNF 语法来实现。例如，我们可以用它来定义一种简化 SQL 查询的特定格式："
#: ../../user_guide/feature_guide/structured_output.md:134
msgid ""
"Find more examples [here](https://github.com/vllm-"
"project/vllm/blob/main/examples/offline_inference/structured_outputs.py)."
msgstr ""
"在[这里](https://github.com/vllm-"
"project/vllm/blob/main/examples/offline_inference/structured_outputs.py)可以找到更多示例。"
#: ../../user_guide/feature_guide/structured_output.md:136
msgid "Offline Inference"
msgstr "离线推理"
#: ../../user_guide/feature_guide/structured_output.md:138
msgid ""
"To use Structured Output, we'll need to configure the guided decoding using "
"the class `GuidedDecodingParams` inside `SamplingParams`. The main available"
" options inside `GuidedDecodingParams` are:"
msgstr ""
"要使用结构化输出，我们需要在 `SamplingParams` 内通过 `GuidedDecodingParams` "
"类配置引导解码。`GuidedDecodingParams` 中主要可用的选项有："
#: ../../user_guide/feature_guide/structured_output.md:140
msgid "json"
msgstr "json"
#: ../../user_guide/feature_guide/structured_output.md:141
msgid "regex"
msgstr "正则表达式"
#: ../../user_guide/feature_guide/structured_output.md:142
msgid "choice"
msgstr "选择"
#: ../../user_guide/feature_guide/structured_output.md:143
msgid "grammar"
msgstr "语法"
#: ../../user_guide/feature_guide/structured_output.md:145
msgid "One example for the usage of the choice parameter is shown below:"
msgstr "choice 参数用法的一个示例如下："
#: ../../user_guide/feature_guide/structured_output.md:163
msgid ""
"Find more examples of other usages [here](https://github.com/vllm-"
"project/vllm/blob/main/examples/offline_inference/structured_outputs.py)."
msgstr ""
"查看更多其他用法的示例 [在这里](https://github.com/vllm-"
"project/vllm/blob/main/examples/offline_inference/structured_outputs.py)。"

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# Translations template for PROJECT.
# Copyright (C) 2025 ORGANIZATION
# This file is distributed under the same license as the PROJECT project.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: PROJECT VERSION\n"
"Report-Msgid-Bugs-To: EMAIL@ADDRESS\n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\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"
#: ../../user_guide/support_matrix/index.md:5
msgid "Support Matrix"
msgstr "支持矩阵"
#: ../../user_guide/support_matrix/index.md:1
msgid "Features and models"
msgstr "特性与模型"
#: ../../user_guide/support_matrix/index.md:3
msgid "This section provides a detailed supported matrix by vLLM Ascend."
msgstr "本节提供了 vLLM Ascend 的详细支持矩阵。"

264
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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/support_matrix/supported_features.md:1
msgid "Feature Support"
msgstr "功能支持"
#: ../../user_guide/support_matrix/supported_features.md:3
msgid ""
"The feature support principle of vLLM Ascend is: **aligned with the vLLM**. "
"We are also actively collaborating with the community to accelerate support."
msgstr "vLLM Ascend 的特性支持原则是：**与 vLLM 保持一致**。我们也在积极与社区合作，加快支持进度。"
#: ../../user_guide/support_matrix/supported_features.md:5
msgid ""
"You can check the [support status of vLLM V1 Engine][v1_user_guide]. Below "
"is the feature support status of vLLM Ascend:"
msgstr "你可以查看 [vLLM V1 引擎的支持状态][v1_user_guide]。下面是 vLLM Ascend 的功能支持情况："
#: ../../user_guide/support_matrix/supported_features.md
msgid "Feature"
msgstr "特性"
#: ../../user_guide/support_matrix/supported_features.md
msgid "vLLM V0 Engine"
msgstr "vLLM V0 引擎"
#: ../../user_guide/support_matrix/supported_features.md
msgid "vLLM V1 Engine"
msgstr "vLLM V1 引擎"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Next Step"
msgstr "下一步"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Chunked Prefill"
msgstr "分块预填充"
#: ../../user_guide/support_matrix/supported_features.md
msgid "🟢 Functional"
msgstr "🟢 功能性"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Functional, see detail note: [Chunked Prefill][cp]"
msgstr "功能性，详见说明：[分块预填充][cp]"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Automatic Prefix Caching"
msgstr "自动前缀缓存"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Functional, see detail note: [vllm-ascend#732][apc]"
msgstr "可用，请参见详细说明：[vllm-ascend#732][apc]"
#: ../../user_guide/support_matrix/supported_features.md
msgid "LoRA"
msgstr "LoRA"
#: ../../user_guide/support_matrix/supported_features.md
msgid "[vllm-ascend#396][multilora], [vllm-ascend#893][v1 multilora]"
msgstr "[vllm-ascend#396][multilora]，[vllm-ascend#893][v1 multilora]"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Prompt adapter"
msgstr "提示适配器"
#: ../../user_guide/support_matrix/supported_features.md
msgid "🔴 No plan"
msgstr "🔴 无计划"
#: ../../user_guide/support_matrix/supported_features.md
msgid "This feature has been deprecated by vllm."
msgstr "此功能已被 vllm 弃用。"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Speculative decoding"
msgstr "猜测式解码"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Basic support"
msgstr "基础支持"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Pooling"
msgstr "池化"
#: ../../user_guide/support_matrix/supported_features.md
msgid "🟡 Planned"
msgstr "🟡 计划中"
#: ../../user_guide/support_matrix/supported_features.md
msgid "CI needed and adapting more models; V1 support rely on vLLM support."
msgstr "需要持续集成（CI）并适配更多模型；V1 的支持依赖于 vLLM 的支持。"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Enc-dec"
msgstr "Enc-dec（编码-解码）"
#: ../../user_guide/support_matrix/supported_features.md
msgid "🔴 NO plan"
msgstr "🔴 没有计划"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Plan in 2025.06.30"
msgstr "2025.06.30 的计划"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Multi Modality"
msgstr "多模态"
#: ../../user_guide/support_matrix/supported_features.md
msgid "[Tutorial][multimodal], optimizing and adapting more models"
msgstr "[教程][multimodal]，优化和适配更多模型"
#: ../../user_guide/support_matrix/supported_features.md
msgid "LogProbs"
msgstr "LogProbs"
#: ../../user_guide/support_matrix/supported_features.md
msgid "CI needed"
msgstr "需要持续集成（CI）"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Prompt logProbs"
msgstr "提示 logProbs"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Async output"
msgstr "异步输出"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Multi step scheduler"
msgstr "多步调度器"
#: ../../user_guide/support_matrix/supported_features.md
msgid "🔴 Deprecated"
msgstr "🔴 已弃用"
#: ../../user_guide/support_matrix/supported_features.md
msgid "[vllm#8779][v1_rfc], replaced by [vLLM V1 Scheduler][v1_scheduler]"
msgstr "[vllm#8779][v1_rfc]，已被 [vLLM V1 调度器][v1_scheduler] 替代"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Best of"
msgstr "精选"
#: ../../user_guide/support_matrix/supported_features.md
msgid "[vllm#13361][best_of], CI needed"
msgstr "[vllm#13361][best_of]，需要持续集成（CI）"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Beam search"
msgstr "束搜索"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Guided Decoding"
msgstr "引导解码"
#: ../../user_guide/support_matrix/supported_features.md
msgid "[vllm-ascend#177][guided_decoding]"
msgstr "[vllm-ascend#177][guided_decoding]"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Tensor Parallel"
msgstr "张量并行"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Pipeline Parallel"
msgstr "流水线并行"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Expert Parallel"
msgstr "专家并行"
#: ../../user_guide/support_matrix/supported_features.md
msgid "CI needed; No plan on V0 support"
msgstr "需要持续集成；没有支持V0的计划"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Data Parallel"
msgstr "数据并行"
#: ../../user_guide/support_matrix/supported_features.md
msgid "CI needed; No plan on V0 support"
msgstr "需要 CI；暂无 V0 支持计划"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Prefill Decode Disaggregation"
msgstr "预填充 解码 拆分"
#: ../../user_guide/support_matrix/supported_features.md
msgid "1P1D available, working on xPyD and V1 support."
msgstr "1P1D 已可用，正在开发 xPyD 和 V1 支持。"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Quantization"
msgstr "量化"
#: ../../user_guide/support_matrix/supported_features.md
msgid "W8A8 available, CI needed; working on more quantization method support"
msgstr "W8A8 已可用，需要持续集成（CI）；正在开发对更多量化方法的支持。"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Graph Mode"
msgstr "图模式"
#: ../../user_guide/support_matrix/supported_features.md
msgid "🔵 Experimental"
msgstr "🔵 实验性"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Experimental, see detail note: [vllm-ascend#767][graph_mode]"
msgstr "实验性功能，详见说明：[vllm-ascend#767][graph_mode]"
#: ../../user_guide/support_matrix/supported_features.md
msgid "Sleep Mode"
msgstr "睡眠模式"
#: ../../user_guide/support_matrix/supported_features.md
msgid "level=1 available, CI needed, working on V1 support"
msgstr "level=1 可用，需要CI，正在开发 V1 支持"
#: ../../user_guide/support_matrix/supported_features.md:33
msgid "🟢 Functional: Fully operational, with ongoing optimizations."
msgstr "🟢 功能性：完全可用，正在持续优化中。"
#: ../../user_guide/support_matrix/supported_features.md:34
msgid ""
"🔵 Experimental: Experimental support, interfaces and functions may change."
msgstr "🔵 实验性：实验性支持，接口和功能可能会发生变化。"
#: ../../user_guide/support_matrix/supported_features.md:35
msgid "🚧 WIP: Under active development, will be supported soon."
msgstr "🚧 WIP：正在积极开发中，很快将会支持。"
#: ../../user_guide/support_matrix/supported_features.md:36
msgid ""
"🟡 Planned: Scheduled for future implementation (some may have open "
"PRs/RFCs)."
msgstr "🟡 计划中：已安排将来实现（其中一些可能已有开放的PR/RFC）。"
#: ../../user_guide/support_matrix/supported_features.md:37
msgid "🔴 NO plan / Deprecated: No plan for V0 or deprecated by vLLM v1."
msgstr "🔴 没有计划 / 已弃用：V0 没有计划或已被 vLLM v1 弃用。"

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# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: vllm-ascend\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-07-18 09:01+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Language: zh_CN\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.17.0\n"
#: ../../user_guide/support_matrix/supported_models.md:1
msgid "Model Support"
msgstr "模型支持"
#: ../../user_guide/support_matrix/supported_models.md:3
msgid "Text-only Language Models"
msgstr "纯文本语言模型"
#: ../../user_guide/support_matrix/supported_models.md:5
#: ../../user_guide/support_matrix/supported_models.md:38
msgid "Generative Models"
msgstr "生成模型"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Model"
msgstr "模型"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Supported"
msgstr "支持"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Note"
msgstr "注释"
#: ../../user_guide/support_matrix/supported_models.md
msgid "DeepSeek v3"
msgstr "DeepSeek v3"
#: ../../user_guide/support_matrix/supported_models.md
msgid "✅"
msgstr "✅"
#: ../../user_guide/support_matrix/supported_models.md
msgid "DeepSeek R1"
msgstr "DeepSeek R1"
#: ../../user_guide/support_matrix/supported_models.md
msgid "DeepSeek Distill (Qwen/LLama)"
msgstr "DeepSeek 精炼（Qwen/LLama）"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Qwen3"
msgstr "Qwen3"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Qwen3-Moe"
msgstr "Qwen3-Moe"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Qwen2.5"
msgstr "Qwen2.5"
#: ../../user_guide/support_matrix/supported_models.md
msgid "QwQ-32B"
msgstr "QwQ-32B"
#: ../../user_guide/support_matrix/supported_models.md
msgid "LLama3.1/3.2"
msgstr "LLama3.1/3.2"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Internlm"
msgstr "Internlm"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Baichuan"
msgstr "百川"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Phi-4-mini"
msgstr "Phi-4-mini"
#: ../../user_guide/support_matrix/supported_models.md
msgid "MiniCPM"
msgstr "MiniCPM"
#: ../../user_guide/support_matrix/supported_models.md
msgid "MiniCPM3"
msgstr "MiniCPM3"
#: ../../user_guide/support_matrix/supported_models.md
msgid "LLama4"
msgstr "LLama4"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Mistral"
msgstr "Mistral"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Need test"
msgstr "需要测试"
#: ../../user_guide/support_matrix/supported_models.md
msgid "DeepSeek v2.5"
msgstr "DeepSeek v2.5"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Gemma-2"
msgstr "Gemma-2"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Mllama"
msgstr "Mllama"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Gemma-3"
msgstr "Gemma-3"
#: ../../user_guide/support_matrix/supported_models.md
msgid "❌"
msgstr "❌"
#: ../../user_guide/support_matrix/supported_models.md
msgid "[#496](https://github.com/vllm-project/vllm-ascend/issues/496)"
msgstr "[#496](https://github.com/vllm-project/vllm-ascend/issues/496)"
#: ../../user_guide/support_matrix/supported_models.md
msgid "ChatGLM"
msgstr "ChatGLM"
#: ../../user_guide/support_matrix/supported_models.md
msgid "[#554](https://github.com/vllm-project/vllm-ascend/issues/554)"
msgstr "[#554](https://github.com/vllm-project/vllm-ascend/issues/554)"
#: ../../user_guide/support_matrix/supported_models.md:29
msgid "Pooling Models"
msgstr "池化模型"
#: ../../user_guide/support_matrix/supported_models.md
msgid "XLM-RoBERTa-based"
msgstr "基于XLM-RoBERTa"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Molmo"
msgstr "Molmo"
#: ../../user_guide/support_matrix/supported_models.md:36
msgid "Multimodal Language Models"
msgstr "多模态语言模型"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Qwen2-VL"
msgstr "Qwen2-VL"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Qwen2.5-VL"
msgstr "Qwen2.5-VL"
#: ../../user_guide/support_matrix/supported_models.md
msgid "LLaVA 1.5"
msgstr "LLaVA 1.5"
#: ../../user_guide/support_matrix/supported_models.md
msgid "LLaVA 1.6"
msgstr "LLaVA 1.6"
#: ../../user_guide/support_matrix/supported_models.md
msgid "[#553](https://github.com/vllm-project/vllm-ascend/issues/553)"
msgstr "[#553](https://github.com/vllm-project/vllm-ascend/issues/553)"
#: ../../user_guide/support_matrix/supported_models.md
msgid "InternVL2"
msgstr "InternVL2"
#: ../../user_guide/support_matrix/supported_models.md
msgid "InternVL2.5"
msgstr "InternVL2.5"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Qwen2-Audio"
msgstr "Qwen2-Audio"
#: ../../user_guide/support_matrix/supported_models.md
msgid "LLaVA-Next"
msgstr "LLaVA-Next"
#: ../../user_guide/support_matrix/supported_models.md
msgid "LLaVA-Next-Video"
msgstr "LLaVA-Next-Video"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Phi-3-Vison/Phi-3.5-Vison"
msgstr "Phi-3-Vison/Phi-3.5-Vison"
#: ../../user_guide/support_matrix/supported_models.md
msgid "GLM-4v"
msgstr "GLM-4v"
#: ../../user_guide/support_matrix/supported_models.md
msgid "Ultravox"
msgstr "Ultravox"