# Chinese translations 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: 2025-11-10 16:59+0800\n"
"PO-Revision-Date: 2025-07-18 10:11+0800\n"
"Last-Translator: \n"
"Language: zh\n"
"Language-Team: \n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.17.0\n"

#: ../../source/user_guide/release_notes.md:1
#, fuzzy
msgid "Release Notes"
msgstr "版本说明"

#~ msgid "v0.9.2rc1 - 2025.07.11"
#~ msgstr ""

#~ msgid ""
#~ "This is the 1st release candidate "
#~ "of v0.9.2 for vLLM Kunlun. Please "
#~ "follow the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/) to get started. "
#~ "From this release, V1 engine will "
#~ "be enabled by default, there is no"
#~ " need to set `VLLM_USE_V1=1` any "
#~ "more. And this release is the last"
#~ " version to support V0 engine, V0 "
#~ "code will be clean up in the "
#~ "future."
#~ msgstr ""
#~ "这是 vLLM Kunlun v0.9.2 "
#~ "的第一个候选发布版本。请参阅[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/)开始使用。从本次发布起，V1 引擎将默认启用，不再需要设置 "
#~ "`VLLM_USE_V1=1`。此外，该版本也是最后一个支持 V0 引擎的版本，V0 "
#~ "相关代码将在未来被清理。"

#~ msgid "Highlights"
#~ msgstr "亮点"

#~ msgid ""
#~ "Pooling model works with V1 engine "
#~ "now. You can take a try with "
#~ "Qwen3 embedding model [#1359](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1359)."
#~ msgstr ""
#~ "Pooling 模型现在可以与 V1 引擎一起使用。你可以尝试使用 Qwen3 "
#~ "embedding 模型 [#1359](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1359)。"

#~ msgid ""
#~ "The performance on Atlas 300I series "
#~ "has been improved. [#1591](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1591)"
#~ msgstr ""
#~ "Atlas 300I 系列的性能已经提升。 [#1591](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1591)"

#~ msgid ""
#~ "aclgraph mode works with Moe models "
#~ "now. Currently, only Qwen3 Moe is "
#~ "well tested. [#1381](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1381)"
#~ msgstr ""
#~ "aclgraph 模式现在可以与 Moe 模型一起使用。目前，仅对 Qwen3 "
#~ "Moe 进行了充分测试。[#1381](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1381)"

#~ msgid "Core"
#~ msgstr "核心"

#~ msgid ""
#~ "Kunlun PyTorch adapter (torch_npu) has "
#~ "been upgraded to `2.5.1.post1.dev20250619`. "
#~ "Don’t forget to update it in your"
#~ " environment. [#1347](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1347)"
#~ msgstr ""
#~ "Kunlun PyTorch 适配器（torch_npu）已升级到 "
#~ "`2.5.1.post1.dev20250619`。请不要忘记在您的环境中进行更新。 "
#~ "[#1347](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1347)"

#~ msgid ""
#~ "The **GatherV3** error has been fixed"
#~ " with **aclgraph** mode. "
#~ "[#1416](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1416)"
#~ msgstr ""
#~ "**GatherV3** 错误已通过 **aclgraph** "
#~ "模式修复。[#1416](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1416)"

#~ msgid ""
#~ "W8A8 quantization works on Atlas 300I"
#~ " series now. [#1560](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1560)"
#~ msgstr ""
#~ "W8A8 量化现在可以在 Atlas 300I "
#~ "系列上运行了。[#1560](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1560)"

#~ msgid ""
#~ "Fix the accuracy problem with deploy "
#~ "models with parallel parameters. "
#~ "[#1678](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1678)"
#~ msgstr ""
#~ "修复了使用并行参数部署模型时的准确性问题。[#1678](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1678)"

#~ msgid ""
#~ "The pre-built wheel package now "
#~ "requires lower version of glibc. Users"
#~ " can use it by `pip install "
#~ "vllm-kunlun` directly. [#1582](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1582)"
#~ msgstr ""
#~ "预编译的 wheel 包现在要求更低版本的 glibc。用户可以直接通过 `pip "
#~ "install vllm-kunlun` 使用它。[#1582](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1582)"

#~ msgid "Other"
#~ msgstr "其它"

#~ msgid ""
#~ "Official doc has been updated for "
#~ "better read experience. For example, "
#~ "more deployment tutorials are added, "
#~ "user/developer docs are updated. More "
#~ "guide will coming soon."
#~ msgstr "官方文档已更新，以提升阅读体验。例如，增加了更多部署教程，用户/开发者文档已更新。更多指南即将推出。"

#~ msgid ""
#~ "Fix accuracy problem for deepseek V3/R1"
#~ " models with torchair graph in long"
#~ " sequence predictions. [#1331](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1331)"
#~ msgstr ""
#~ "修复 deepseek V3/R1 模型在使用 torchair "
#~ "图进行长序列预测时的精度问题。[#1331](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1331)"

#~ msgid ""
#~ "A new env variable "
#~ "`VLLM_ENABLE_FUSED_EXPERTS_ALLGATHER_EP` has been "
#~ "added. It enables the fused "
#~ "allgather-experts kernel for Deepseek V3/R1"
#~ " models. The default value is `0`."
#~ " [#1335](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1335)"
#~ msgstr ""
#~ "新增了一个环境变量 `VLLM_ENABLE_FUSED_EXPERTS_ALLGATHER_EP`。它用于启用 "
#~ "Deepseek V3/R1 模型的 fused allgather-"
#~ "experts 内核。默认值为 `0`。[#1335](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1335)"

#~ msgid ""
#~ "A new env variable "
#~ "`VLLM_KUNLUN_ENABLE_TOPK_TOPP_OPTIMIZATION` has been "
#~ "added to improve the performance of "
#~ "topk-topp sampling. The default value"
#~ " is 0, we'll consider to enable "
#~ "it by default in the "
#~ "future[#1732](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1732)"
#~ msgstr ""
#~ "新增了一个环境变量 `VLLM_KUNLUN_ENABLE_TOPK_TOPP_OPTIMIZATION`，用于提升 "
#~ "topk-topp 采样的性能。该变量默认值为 "
#~ "0，未来我们会考虑默认启用此选项[#1732](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1732)。"

#~ msgid ""
#~ "A batch of bugs have been fixed"
#~ " for Data Parallelism case "
#~ "[#1273](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1273) [#1322](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1322) [#1275](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1275) [#1478](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1478)"
#~ msgstr ""
#~ "已修复了一批与数据并行相关的 bug [#1273](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1273) [#1322](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1322) "
#~ "[#1275](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1275) [#1478](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1478)"

#~ msgid ""
#~ "The DeepSeek performance has been "
#~ "improved. [#1194](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1194) [#1395](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1395) [#1380](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1380)"
#~ msgstr ""
#~ "DeepSeek 的性能已得到提升。[#1194](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1194) [#1395](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1395) [#1380](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1380)"

#~ msgid ""
#~ "Kunlun scheduler works with prefix cache"
#~ " now. [#1446](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1446)"
#~ msgstr ""
#~ "Kunlun 调度器现在支持前缀缓存。[#1446](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1446)"

#~ msgid ""
#~ "DeepSeek now works with prefix cache "
#~ "now. [#1498](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1498)"
#~ msgstr ""
#~ "DeepSeek 现在支持前缀缓存了。[#1498](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1498)"

#~ msgid ""
#~ "Support prompt logprobs to recover ceval"
#~ " accuracy in V1 [#1483](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1483)"
#~ msgstr ""
#~ "支持使用 prompt logprobs 恢复 V1 的 ceval"
#~ " 准确率 [#1483](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1483)"

#~ msgid "v0.9.1rc1 - 2025.06.22"
#~ msgstr "v0.9.1rc1 - 2025.06.22"

#~ msgid ""
#~ "This is the 1st release candidate "
#~ "of v0.9.1 for vLLM Kunlun. Please "
#~ "follow the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/) to get started."
#~ msgstr ""
#~ "这是 vLLM Kunlun v0.9.1 "
#~ "的第一个候选发布版本。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/)开始使用。"

#~ msgid ""
#~ "Atlas 300I series is experimental "
#~ "supported in this release. "
#~ "[#1333](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1333) After careful consideration, "
#~ "this feature **will NOT be included "
#~ "in v0.9.1-dev branch** taking into "
#~ "account the v0.9.1 release quality and"
#~ " the feature rapid iteration to "
#~ "improve performance on Atlas 300I "
#~ "series. We will improve this from "
#~ "0.9.2rc1 and later."
#~ msgstr ""
#~ "本版本对 Atlas 300I "
#~ "系列提供了实验性支持。[#1333](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1333) 经过慎重考虑，鉴于 v0.9.1 版本发布的质量要求以及 "
#~ "Atlas 300I 系列性能优化的快速迭代，该功能**不会被包含在 v0.9.1-dev "
#~ "分支中**。我们将在 0.9.2rc1 及之后的版本中进一步完善该功能。"

#~ msgid ""
#~ "Support EAGLE-3 for speculative decoding. "
#~ "[#1032](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1032)"
#~ msgstr ""
#~ "支持 EAGLE-3 进行推测式解码。[#1032](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1032)"

#~ msgid ""
#~ "Kunlun PyTorch adapter (torch_npu) has "
#~ "been upgraded to `2.5.1.post1.dev20250528`. "
#~ "Don’t forget to update it in your"
#~ " environment. [#1235](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1235)"
#~ msgstr ""
#~ "Kunlun PyTorch 适配器（torch_npu）已升级到 "
#~ "`2.5.1.post1.dev20250528`。请不要忘记在您的环境中进行更新。[#1235](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1235)"

#~ msgid ""
#~ "Support Atlas 300I series container "
#~ "image. You can get it from "
#~ "[quay.io](https://quay.io/repository/vllm/vllm-kunlun)"
#~ msgstr ""
#~ "支持Atlas "
#~ "300I系列的容器镜像。你可以从[quay.io](https://quay.io/repository/vllm/vllm-"
#~ "kunlun)获取。"

#~ msgid ""
#~ "Fix token-wise padding mechanism to "
#~ "make multi-card graph mode work. "
#~ "[#1300](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1300)"
#~ msgstr ""
#~ "修复按 token 填充机制以支持多卡图模式。 [#1300](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1300)"

#~ msgid ""
#~ "Upgrade vllm to 0.9.1 "
#~ "[#1165]https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1165"
#~ msgstr ""
#~ "将 vllm 升级到 0.9.1 [#1165]https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1165"

#~ msgid "Other Improvements"
#~ msgstr "其他改进"

#~ msgid ""
#~ "Initial support Chunked Prefill for MLA."
#~ " [#1172](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1172)"
#~ msgstr ""
#~ "为MLA初步支持分块预填充。 [#1172](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1172)"

#~ msgid ""
#~ "An example of best practices to "
#~ "run DeepSeek with ETP has been "
#~ "added. [#1101](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1101)"
#~ msgstr ""
#~ "已新增一个使用 ETP 运行 DeepSeek "
#~ "的最佳实践示例。[#1101](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1101)"

#~ msgid ""
#~ "Performance improvements for DeepSeek using"
#~ " the TorchAir graph. [#1098](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1098), "
#~ "[#1131](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1131)"
#~ msgstr ""
#~ "通过使用 TorchAir 图对 DeepSeek "
#~ "进行了性能提升。[#1098](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1098), [#1131](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1131)"

#~ msgid ""
#~ "Supports the speculative decoding feature "
#~ "with KunlunScheduler. [#943](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/943)"
#~ msgstr ""
#~ "支持 KunlunScheduler 的预测性解码功能。[#943](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/943)"

#~ msgid ""
#~ "Improve `VocabParallelEmbedding` custom op "
#~ "performance. It will be enabled in "
#~ "the next release. [#796](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/796)"
#~ msgstr ""
#~ "提升 `VocabParallelEmbedding` "
#~ "自定义算子的性能。该优化将在下一个版本中启用。[#796](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/796)"

#~ msgid ""
#~ "Fixed a device discovery and setup "
#~ "bug when running vLLM Kunlun on "
#~ "Ray [#884](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/884)"
#~ msgstr ""
#~ "修复了在 Ray 上运行 vLLM Kunlun 时的设备发现和设置错误 "
#~ "[#884](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/884)"

#~ msgid ""
#~ "DeepSeek with "
#~ "[MC2](https://www.hikunlun.com/document/detail/zh/canncommercial/81RC1/developmentguide/opdevg/kunluncbestP/atlas_kunlunc_best_practices_10_0043.html)"
#~ " (Merged Compute and Communication) now "
#~ "works properly. [#1268](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1268)"
#~ msgstr ""
#~ "DeepSeek 现已可以与 "
#~ "[MC2](https://www.hikunlun.com/document/detail/zh/canncommercial/81RC1/developmentguide/opdevg/kunluncbestP/atlas_kunlunc_best_practices_10_0043.html)（计算与通信融合）正常工作。[#1268](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1268)"

#~ msgid ""
#~ "Fixed log2phy NoneType bug with static"
#~ " EPLB feature. [#1186](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1186)"
#~ msgstr ""
#~ "修复了带有静态 EPLB 特性时 log2phy 为 NoneType "
#~ "的 bug。[#1186](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1186)"

#~ msgid ""
#~ "Improved performance for DeepSeek with "
#~ "DBO enabled. [#997](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/997), [#1135](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1135)"
#~ msgstr ""
#~ "启用 DBO 后，DeepSeek 的性能得到提升。[#997](https://github.com"
#~ "/vllm-project/vllm-"
#~ "kunlun/pull/997)，[#1135](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1135)"

#~ msgid ""
#~ "Refactoring KunlunFusedMoE [#1229](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1229)"
#~ msgstr ""
#~ "重构 KunlunFusedMoE [#1229](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1229)"

#~ msgid ""
#~ "Add initial user stories page (include"
#~ " LLaMA-Factory/TRL/verl/MindIE Turbo/GPUStack) "
#~ "[#1224](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1224)"
#~ msgstr ""
#~ "新增初始用户故事页面（包括 LLaMA-Factory/TRL/verl/MindIE "
#~ "Turbo/GPUStack）[#1224](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1224)"

#~ msgid ""
#~ "Add unit test framework "
#~ "[#1201](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1201)"
#~ msgstr "添加单元测试框架 [#1201](https://github.com/vllm-project/vllm-kunlun/pull/1201)"

#~ msgid "Known Issues"
#~ msgstr "已知问题"

#~ msgid ""
#~ "In some cases, the vLLM process "
#~ "may crash with a **GatherV3** error "
#~ "when **aclgraph** is enabled. We are "
#~ "working on this issue and will fix"
#~ " it in the next release. "
#~ "[#1038](https://github.com/vllm-project/vllm-"
#~ "kunlun/issues/1038)"
#~ msgstr ""
#~ "在某些情况下，当启用 **aclgraph** 时，vLLM 进程可能会因 "
#~ "**GatherV3** "
#~ "错误而崩溃。我们正在解决此问题，并将在下一个版本中修复。[#1038](https://github.com/vllm-"
#~ "project/vllm-kunlun/issues/1038)"

#~ msgid ""
#~ "Prefix cache feature does not work "
#~ "with the Kunlun Scheduler but without"
#~ " chunked prefill enabled. This will "
#~ "be fixed in the next release. "
#~ "[#1350](https://github.com/vllm-project/vllm-"
#~ "kunlun/issues/1350)"
#~ msgstr ""
#~ "前缀缓存功能在未启用分块预填充的情况下无法与 Kunlun "
#~ "调度器一同工作。此问题将在下一个版本中修复。[#1350](https://github.com/vllm-project"
#~ "/vllm-kunlun/issues/1350)"

#~ msgid "Full Changelog"
#~ msgstr "完整更新日志"

#~ msgid ""
#~ "https://github.com/vllm-project/vllm-"
#~ "kunlun/compare/v0.9.0rc2...v0.9.1rc1"
#~ msgstr ""
#~ "https://github.com/vllm-project/vllm-"
#~ "kunlun/compare/v0.9.0rc2...v0.9.1rc1"

#~ msgid "v0.9.0rc2 - 2025.06.10"
#~ msgstr "v0.9.0rc2 - 2025.06.10"

#~ msgid ""
#~ "This release contains some quick fixes"
#~ " for v0.9.0rc1. Please use this "
#~ "release instead of v0.9.0rc1."
#~ msgstr "本次发布包含了一些针对 v0.9.0rc1 的快速修复。请使用本次发布版本，而不是 v0.9.0rc1。"

#~ msgid ""
#~ "Fix the import error when vllm-"
#~ "kunlun is installed without editable "
#~ "way. [#1152](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1152)"
#~ msgstr ""
#~ "修复当以非可编辑方式安装 vllm-kunlun "
#~ "时的导入错误。[#1152](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1152)"

#~ msgid "v0.9.0rc1 - 2025.06.09"
#~ msgstr "v0.9.0rc1 - 2025.06.09"

#~ msgid ""
#~ "This is the 1st release candidate "
#~ "of v0.9.0 for vllm-kunlun. Please "
#~ "follow the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/) to start the "
#~ "journey. From this release, V1 Engine"
#~ " is recommended to use. The code "
#~ "of V0 Engine is frozen and will"
#~ " not be maintained any more. Please"
#~ " set environment `VLLM_USE_V1=1` to enable"
#~ " V1 Engine."
#~ msgstr ""
#~ "这是 vllm-kunlun v0.9.0 "
#~ "的第一个候选发布版本。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/)开始使用。从此版本起，推荐使用 V1 引擎。V0 "
#~ "引擎的代码已被冻结，不再维护。如需启用 V1 引擎，请设置环境变量 `VLLM_USE_V1=1`。"

#~ msgid ""
#~ "DeepSeek works with graph mode now. "
#~ "Follow the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html)"
#~ " to take a try. [#789](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/789)"
#~ msgstr ""
#~ "DeepSeek 现在已支持图模式。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html)进行尝试。[#789](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/789)"

#~ msgid ""
#~ "Qwen series models works with graph "
#~ "mode now. It works by default with"
#~ " V1 Engine. Please note that in "
#~ "this release, only Qwen series models"
#~ " are well tested with graph mode. "
#~ "We'll make it stable and generalize "
#~ "in the next release. 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 ""
#~ "Qwen 系列模型现在支持图模式。默认情况下，它在 V1 引擎下运行。请注意，本次发布中，仅 "
#~ "Qwen "
#~ "系列模型经过了充分的图模式测试。我们将在下一个版本中进一步提升其稳定性并推广至更广泛的场景。如果你遇到任何问题，请随时在 "
#~ "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。"

#~ msgid ""
#~ "The performance of multi-step scheduler"
#~ " has been improved. Thanks for the"
#~ " contribution from China Merchants Bank."
#~ " [#814](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/814)"
#~ msgstr ""
#~ "多步调度器的性能得到了提升。感谢招商银行的贡献。[#814](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/814)"

#~ msgid ""
#~ "LoRA、Multi-LoRA And Dynamic Serving is"
#~ " supported for V1 Engine now. Thanks"
#~ " for the contribution from China "
#~ "Merchants Bank. [#893](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/893)"
#~ msgstr ""
#~ "V1 引擎现在支持 LoRA、多 LoRA "
#~ "以及动态服务。感谢招商银行的贡献。[#893](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/893)"

#~ msgid ""
#~ "Prefix cache and chunked prefill feature"
#~ " works now [#782](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/782) [#844](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/844)"
#~ msgstr ""
#~ "前缀缓存和分块预填充功能现已可用 [#782](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/782) [#844](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/844)"

#~ msgid ""
#~ "Spec decode and MTP features work "
#~ "with V1 Engine now. [#874](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/874) "
#~ "[#890](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/890)"
#~ msgstr ""
#~ "Spec 解码和 MTP 功能现在已经支持 V1 "
#~ "引擎。[#874](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/874) [#890](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/890)"

#~ msgid ""
#~ "DP feature works with DeepSeek now. "
#~ "[#1012](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/1012)"
#~ msgstr ""
#~ "DP 功能现在可以与 DeepSeek 一起使用。[#1012](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/1012)"

#~ msgid ""
#~ "Input embedding feature works with V0"
#~ " Engine now. [#916](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/916)"
#~ msgstr ""
#~ "输入嵌入特性现在已支持 V0 引擎。[#916](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/916)"

#~ msgid ""
#~ "Sleep mode feature works with V1 "
#~ "Engine now. [#1084](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1084)"
#~ msgstr ""
#~ "休眠模式功能现在已支持 V1 引擎。[#1084](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1084)"

#~ msgid "Model"
#~ msgstr "模型"

#~ msgid ""
#~ "Qwen2.5 VL works with V1 Engine "
#~ "now. [#736](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/736)"
#~ msgstr ""
#~ "Qwen2.5 VL 现在可以与 V1 "
#~ "引擎协同工作。[#736](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/736)"

#~ msgid ""
#~ "LLama4 works now. [#740](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/740)"
#~ msgstr ""
#~ "LLama4 现在可以使用了。[#740](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/740)"

#~ msgid ""
#~ "A new kind of DeepSeek model "
#~ "called dual-batch overlap(DBO) is added."
#~ " Please set `VLLM_KUNLUN_ENABLE_DBO=1` to "
#~ "use it. [#941](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/941)"
#~ msgstr ""
#~ "新增了一种名为双批次重叠（dual-batch overlap，DBO）的 DeepSeek "
#~ "模型。请设置 `VLLM_KUNLUN_ENABLE_DBO=1` 以启用。 "
#~ "[#941](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/941)"

#~ msgid ""
#~ "online serve with kunlun quantization "
#~ "works now. [#877](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/877)"
#~ msgstr ""
#~ "在线服务现已支持Kunlun量化。[#877](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/877)"

#~ msgid ""
#~ "A batch of bugs for graph mode "
#~ "and moe model have been fixed. "
#~ "[#773](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/773) [#771](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/771) [#774](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/774) [#816](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/816) "
#~ "[#817](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/817) [#819](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/819) [#912](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/912) [#897](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/897) "
#~ "[#961](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/961) [#958](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/958) [#913](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/913) [#905](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/905)"
#~ msgstr ""
#~ "已修复一批关于图模式和moe模型的bug。[#773](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/773) [#771](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/771) [#774](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/774) "
#~ "[#816](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/816) [#817](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/817) [#819](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/819) [#912](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/912) "
#~ "[#897](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/897) [#961](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/961) [#958](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/958) [#913](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/913) "
#~ "[#905](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/905)"

#~ msgid ""
#~ "A batch of performance improvement PRs"
#~ " have been merged. [#784](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/784) "
#~ "[#803](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/803) [#966](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/966) [#839](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/839) [#970](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/970) "
#~ "[#947](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/947) [#987](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/987) [#1085](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/1085)"
#~ msgstr ""
#~ "一批性能改进的 PR 已被合并。[#784](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/784) [#803](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/803) "
#~ "[#966](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/966) [#839](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/839) [#970](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/970) [#947](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/947) "
#~ "[#987](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/987) [#1085](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/1085)"

#~ msgid ""
#~ "From this release, binary wheel package"
#~ " will be released as well. "
#~ "[#775](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/775)"
#~ msgstr ""
#~ "从本版本开始，将同时发布二进制 wheel 包。[#775](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/775)"

#~ msgid ""
#~ "The contributor doc site is "
#~ "[added](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/community/contributors.html)"
#~ msgstr ""
#~ "贡献者文档站点已[添加](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/community/contributors.html)"

#~ msgid "Known Issue"
#~ msgstr "已知问题"

#~ msgid ""
#~ "In some case, vLLM process may be"
#~ " crashed with aclgraph enabled. We're "
#~ "working this issue and it'll be "
#~ "fixed in the next release."
#~ msgstr "在某些情况下，启用 aclgraph 时 vLLM 进程可能会崩溃。我们正在处理这个问题，并将在下一个版本中修复。"

#~ msgid ""
#~ "Multi node data-parallel doesn't work"
#~ " with this release. This is a "
#~ "known issue in vllm and has been"
#~ " fixed on main branch. "
#~ "[#18981](https://github.com/vllm-project/vllm/pull/18981)"
#~ msgstr ""
#~ "多节点数据并行在此版本中无法使用。这是 vllm 中已知的问题，并已在主分支中修复。 "
#~ "[#18981](https://github.com/vllm-project/vllm/pull/18981)"

#~ msgid "v0.7.3.post1 - 2025.05.29"
#~ msgstr "v0.7.3.post1 - 2025.05.29"

#~ msgid ""
#~ "This is the first post release of"
#~ " 0.7.3. Please follow the [official "
#~ "doc](https://vllm-kunlun.readthedocs.io/en/v0.7.3-dev) to"
#~ " start the journey. It includes the"
#~ " following changes:"
#~ msgstr ""
#~ "这是 0.7.3 的第一个补丁发布。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev)开始使用。本次更新包括以下更改："

#~ msgid ""
#~ "Qwen3 and Qwen3MOE is supported now. "
#~ "The performance and accuracy of Qwen3"
#~ " is well tested. You can try it"
#~ " now. Mindie Turbo is recomanded to"
#~ " improve the performance of Qwen3. "
#~ "[#903](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/903) [#915](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/915)"
#~ msgstr ""
#~ "现在已支持 Qwen3 和 Qwen3MOE。Qwen3 "
#~ "的性能和精度已经过充分测试，你可以立即试用。推荐使用 Mindie Turbo 以提升 "
#~ "Qwen3 的性能。[#903](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/903) [#915](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/915)"

#~ msgid ""
#~ "Added a new performance guide. The "
#~ "guide aims to help users to "
#~ "improve vllm-kunlun performance on "
#~ "system level. It includes OS "
#~ "configuration, library optimization, deploy "
#~ "guide and so on. [#878](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/878) [Doc "
#~ "Link](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/developer_guide/performance/optimization_and_tuning.html)"
#~ msgstr ""
#~ "新增了一个性能指南。该指南旨在帮助用户在系统层面提升 vllm-kunlun "
#~ "的性能。内容包括操作系统配置、库优化、部署指南等。 [#878](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/878) [文档链接](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/developer_guide/performance/optimization_and_tuning.html)"

#~ msgid "Bug Fix"
#~ msgstr "漏洞修复"

#~ msgid ""
#~ "Qwen2.5-VL  works for RLHF scenarios "
#~ "now. [#928](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/928)"
#~ msgstr ""
#~ "Qwen2.5-VL 现在已支持 RLHF 场景。[#928](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/928)"

#~ msgid ""
#~ "Users can launch the model from "
#~ "online weights now. e.g. from "
#~ "huggingface or modelscope directly "
#~ "[#858](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/858) [#918](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/918)"
#~ msgstr ""
#~ "用户现在可以直接从在线权重启动模型。例如，可以直接从 huggingface 或 modelscope"
#~ " 获取。[#858](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/858) [#918](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/918)"

#~ msgid ""
#~ "The meaningless log info `UserWorkspaceSize0`"
#~ " has been cleaned. [#911](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/911)"
#~ msgstr ""
#~ "无意义的日志信息 `UserWorkspaceSize0` "
#~ "已被清理。[#911](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/911)"

#~ msgid ""
#~ "The log level for `Failed to "
#~ "import vllm_kunlun_C` has been changed "
#~ "to `warning` instead of `error`. "
#~ "[#956](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/956)"
#~ msgstr ""
#~ "`Failed to import vllm_kunlun_C` 的日志级别已从 "
#~ "`error` 更改为 `warning`。[#956](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/956)"

#~ msgid ""
#~ "DeepSeek MLA now works with chunked "
#~ "prefill in V1 Engine. Please note "
#~ "that V1 engine in 0.7.3 is just"
#~ " expermential and only for test "
#~ "usage. [#849](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/849) [#936](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/936)"
#~ msgstr ""
#~ "DeepSeek MLA 现已在 V1 引擎中支持分块预填充。请注意，0.7.3 "
#~ "版本中的 V1 引擎仅为实验性，仅供测试使用。[#849](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/849) [#936](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/936)"

#~ msgid "Docs"
#~ msgstr "文档"

#~ msgid ""
#~ "The benchmark doc is updated for "
#~ "Qwen2.5 and Qwen2.5-VL [#792](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/792)"
#~ msgstr ""
#~ "基准文档已针对 Qwen2.5 和 Qwen2.5-VL 更新 "
#~ "[#792](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/792)"

#~ msgid ""
#~ "Add the note to clear that only"
#~ " \"modelscope<1.23.0\" works with 0.7.3. "
#~ "[#954](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/954)"
#~ msgstr ""
#~ "添加说明，明确只有 \"modelscope<1.23.0\" 能与 0.7.3 "
#~ "一起使用。[#954](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/954)"

#~ msgid "v0.7.3 - 2025.05.08"
#~ msgstr "v0.7.3 - 2025.05.08"

#~ msgid "🎉 Hello, World!"
#~ msgstr "🎉 你好，世界！"

#~ msgid ""
#~ "We are excited to announce the "
#~ "release of 0.7.3 for vllm-kunlun. "
#~ "This is the first official release. "
#~ "The functionality, performance, and stability"
#~ " of this release are fully tested "
#~ "and verified. We encourage you to "
#~ "try it out and provide feedback. "
#~ "We'll post bug fix versions in the"
#~ " future if needed. Please follow the"
#~ " [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev) to start the"
#~ " journey."
#~ msgstr ""
#~ "我们很高兴地宣布 vllm-kunlun 0.7.3 "
#~ "版本正式发布。这是首个正式发布的版本。该版本的功能、性能和稳定性已充分测试和验证。我们鼓励您试用并反馈意见。如有需要，未来我们将发布修复版本。请参阅[官方文档](https"
#~ "://vllm-kunlun.readthedocs.io/en/v0.7.3-dev)开启您的体验之旅。"

#~ msgid ""
#~ "This release includes all features "
#~ "landed in the previous release "
#~ "candidates ([v0.7.1rc1](https://github.com/vllm-project"
#~ "/vllm-kunlun/releases/tag/v0.7.1rc1), "
#~ "[v0.7.3rc1](https://github.com/vllm-project/vllm-"
#~ "kunlun/releases/tag/v0.7.3rc1), [v0.7.3rc2](https://github.com"
#~ "/vllm-project/vllm-kunlun/releases/tag/v0.7.3rc2)). And"
#~ " all the features are fully tested"
#~ " and verified. Visit the official doc"
#~ " the get the detail [feature](https"
#~ "://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/user_guide/suppoted_features.html)"
#~ " and [model](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/user_guide/supported_models.html)"
#~ " support matrix."
#~ msgstr ""
#~ "本次发布包含了所有在之前候选版本中加入的功能（[v0.7.1rc1](https://github.com/vllm-"
#~ "project/vllm-"
#~ "kunlun/releases/tag/v0.7.1rc1)、[v0.7.3rc1](https://github.com/vllm-"
#~ "project/vllm-"
#~ "kunlun/releases/tag/v0.7.3rc1)、[v0.7.3rc2](https://github.com/vllm-"
#~ "project/vllm-"
#~ "kunlun/releases/tag/v0.7.3rc2)）。所有功能都经过了全面测试和验证。请访问官方文档获取详细的[功能](https"
#~ "://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/user_guide/suppoted_features.html)和[模型](https"
#~ "://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/user_guide/supported_models.html)支持矩阵。"

#~ msgid ""
#~ "Upgrade CANN to 8.1.RC1 to enable "
#~ "chunked prefill and automatic prefix "
#~ "caching features. You can now enable "
#~ "them now."
#~ msgstr "将 CANN 升级到 8.1.RC1 以启用分块预填充和自动前缀缓存功能。您现在可以启用这些功能了。"

#~ msgid ""
#~ "Upgrade PyTorch to 2.5.1. vLLM Kunlun"
#~ " no longer relies on the dev "
#~ "version of torch-xpu now. Now "
#~ "users don't need to install the "
#~ "torch-xpu by hand. The 2.5.1 version"
#~ " of torch-xpu will be installed "
#~ "automatically. [#662](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/662)"
#~ msgstr ""
#~ "升级 PyTorch 至 2.5.1。vLLM Kunlun 现在不再依赖于"
#~ " torch-xpu 的开发版本。用户现在无需手动安装 torch-xpu，2.5.1"
#~ " 版本的 torch-xpu 会被自动安装。[#662](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/662)"

#~ msgid ""
#~ "Integrate MindIE Turbo into vLLM Kunlun"
#~ " to improve DeepSeek V3/R1, Qwen 2"
#~ " series performance. [#708](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/708)"
#~ msgstr ""
#~ "将 MindIE Turbo 集成到 vLLM Kunlun 以提升"
#~ " DeepSeek V3/R1、Qwen 2 "
#~ "系列的性能。[#708](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/708)"

#~ msgid ""
#~ "LoRA、Multi-LoRA And Dynamic Serving is"
#~ " supported now. The performance will "
#~ "be improved in the next release. "
#~ "Please follow the official doc for "
#~ "more usage information. Thanks for the"
#~ " contribution from China Merchants Bank."
#~ " [#700](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/700)"
#~ msgstr ""
#~ "现在已经支持 LoRA、多LoRA "
#~ "和动态服务。下一个版本中性能将会提升。请参阅官方文档以获取更多用法信息。感谢招商银行的贡献。[#700](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/700)"

#~ msgid ""
#~ "The performance of Qwen2 vl and "
#~ "Qwen2.5 vl is improved. "
#~ "[#702](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/702)"
#~ msgstr ""
#~ "Qwen2 vl 和 Qwen2.5 vl 的性能得到了提升。 "
#~ "[#702](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/702)"

#~ msgid ""
#~ "The performance of `apply_penalties` and "
#~ "`topKtopP` ops are improved. "
#~ "[#525](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/525)"
#~ msgstr ""
#~ "`apply_penalties` 和 `topKtopP` 操作的性能得到了提升。 "
#~ "[#525](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/525)"

#~ msgid ""
#~ "Fixed a issue that may lead CPU"
#~ " memory leak. [#691](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/691) [#712](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/712)"
#~ msgstr ""
#~ "修复了可能导致CPU内存泄漏的问题。 [#691](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/691) [#712](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/712)"

#~ msgid ""
#~ "A new environment `SOC_VERSION` is "
#~ "added. If you hit any soc "
#~ "detection error when building with "
#~ "custom ops enabled, please set "
#~ "`SOC_VERSION` to a suitable value. "
#~ "[#606](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/606)"
#~ msgstr ""
#~ "新增了一个环境变量 `SOC_VERSION`。如果在启用自定义算子时构建过程中遇到 soc "
#~ "检测错误，请将 `SOC_VERSION` 设置为合适的值。[#606](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/606)"

#~ msgid ""
#~ "openEuler container image supported with "
#~ "v0.7.3-openeuler tag. [#665](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/665)"
#~ msgstr ""
#~ "openEuler 容器镜像已支持 v0.7.3-openeuler "
#~ "标签。[#665](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/665)"

#~ msgid ""
#~ "Prefix cache feature works on V1 "
#~ "engine now. [#559](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/559)"
#~ msgstr ""
#~ "前缀缓存功能现在已在 V1 引擎上工作。[#559](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/559)"

#~ msgid "v0.8.5rc1 - 2025.05.06"
#~ msgstr "v0.8.5rc1 - 2025.05.06"

#~ msgid ""
#~ "This is the 1st release candidate "
#~ "of v0.8.5 for vllm-kunlun. Please "
#~ "follow the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/) to start the "
#~ "journey. Now you can enable V1 "
#~ "egnine by setting the environment "
#~ "variable `VLLM_USE_V1=1`, see the feature "
#~ "support status of vLLM Kunlun in "
#~ "[here](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/user_guide/support_matrix/supported_features.html)."
#~ msgstr ""
#~ "这是 vllm-kunlun v0.8.5 "
#~ "的第一个候选发布版本。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/)开始使用。现在，您可以通过设置环境变量 `VLLM_USE_V1=1`"
#~ " 启用 V1 引擎。关于 vLLM Kunlun "
#~ "的特性支持情况，请参见[这里](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/user_guide/support_matrix/supported_features.html)。"

#~ msgid ""
#~ "Upgrade CANN version to 8.1.RC1 to "
#~ "support chunked prefill and automatic "
#~ "prefix caching (`--enable_prefix_caching`) when "
#~ "V1 is enabled [#747](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/747)"
#~ msgstr ""
#~ "将 CANN 版本升级到 8.1.RC1，以支持在启用 V1 "
#~ "时的分块预填充和自动前缀缓存（`--enable_prefix_caching`）[#747](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/747)"

#~ msgid ""
#~ "Optimize Qwen2 VL and Qwen 2.5 VL"
#~ " [#701](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/701)"
#~ msgstr ""
#~ "优化 Qwen2 VL 和 Qwen 2.5 VL "
#~ "[#701](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/701)"

#~ msgid ""
#~ "Improve Deepseek V3 eager mode and "
#~ "graph mode performance, now you can "
#~ "use --additional_config={'enable_graph_mode': True} "
#~ "to enable graph mode. "
#~ "[#598](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/598) [#719](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/719)"
#~ msgstr ""
#~ "改进了 Deepseek V3 的 eager 模式和图模式性能，现在你可以使用"
#~ " --additional_config={'enable_graph_mode': True} "
#~ "来启用图模式。[#598](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/598) [#719](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/719)"

#~ msgid ""
#~ "Upgrade vLLM to 0.8.5.post1 "
#~ "[#715](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/715)"
#~ msgstr ""
#~ "将 vLLM 升级到 0.8.5.post1 "
#~ "[#715](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/715)"

#~ msgid ""
#~ "Fix early return in "
#~ "CustomDeepseekV2MoE.forward during profile_run "
#~ "[#682](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/682)"
#~ msgstr ""
#~ "修复在 profile_run 期间 CustomDeepseekV2MoE.forward "
#~ "过早返回的问题 [#682](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/682)"

#~ msgid ""
#~ "Adapts for new quant model generated "
#~ "by modelslim [#719](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/719)"
#~ msgstr ""
#~ "适配由 modelslim 生成的新量化模型 [#719](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/719)"

#~ msgid ""
#~ "Initial support on P2P Disaggregated "
#~ "Prefill based on llm_datadist "
#~ "[#694](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/694)"
#~ msgstr ""
#~ "基于 llm_datadist 的 P2P 分布式 Prefill "
#~ "初步支持 [#694](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/694)"

#~ msgid ""
#~ "Use `/vllm-workspace` as code path "
#~ "and include `.git` in container image"
#~ " to fix issue when start vllm "
#~ "under `/workspace` [#726](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/726)"
#~ msgstr ""
#~ "使用 `/vllm-workspace` 作为代码路径，并在容器镜像中包含 `.git`"
#~ " ，以修复在 `/workspace` 下启动 vllm 时的问题 "
#~ "[#726](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/726)"

#~ msgid ""
#~ "Optimize XPU memory usage to make "
#~ "DeepSeek R1 W8A8 32K model len "
#~ "work. [#728](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/728)"
#~ msgstr ""
#~ "优化XPU内存使用，以使 DeepSeek R1 W8A8 32K "
#~ "模型长度能够运行。[#728](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/728)"

#~ msgid ""
#~ "Fix `PYTHON_INCLUDE_PATH` typo in setup.py "
#~ "[#762](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/762)"
#~ msgstr ""
#~ "修复 setup.py 中的 `PYTHON_INCLUDE_PATH` 拼写错误 "
#~ "[#762](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/762)"

#~ msgid ""
#~ "Add Qwen3-0.6B test [#717](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/717)"
#~ msgstr ""
#~ "添加 Qwen3-0.6B 测试 [#717](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/717)"

#~ msgid ""
#~ "Add nightly CI [#668](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/668)"
#~ msgstr "添加每晚持续集成 [#668](https://github.com/vllm-project/vllm-kunlun/pull/668)"

#~ msgid ""
#~ "Add accuracy test report "
#~ "[#542](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/542)"
#~ msgstr "添加准确性测试报告 [#542](https://github.com/vllm-project/vllm-kunlun/pull/542)"

#~ msgid "v0.8.4rc2 - 2025.04.29"
#~ msgstr "v0.8.4rc2 - 2025.04.29"

#~ msgid ""
#~ "This is the second release candidate "
#~ "of v0.8.4 for vllm-kunlun. Please "
#~ "follow the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/) to start the "
#~ "journey. Some experimental features are "
#~ "included in this version, such as "
#~ "W8A8 quantization and EP/DP support. "
#~ "We'll make them stable enough in "
#~ "the next release."
#~ msgstr ""
#~ "这是 vllm-kunlun 的 v0.8.4 "
#~ "第二个候选版本。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/)开始使用。本版本包含了一些实验性功能，如 W8A8 量化和"
#~ " EP/DP 支持。我们将在下一个版本中使这些功能更加稳定。"

#~ msgid ""
#~ "Qwen3 and Qwen3MOE is supported now. "
#~ "Please follow the [official doc](https"
#~ "://vllm-kunlun.readthedocs.io/en/latest/tutorials/single_npu.html)"
#~ " to run the quick demo. "
#~ "[#709](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/709)"
#~ msgstr ""
#~ "现在已支持 Qwen3 和 Qwen3MOE。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/tutorials/single_npu.html)运行快速演示。[#709](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/709)"

#~ msgid ""
#~ "Kunlun W8A8 quantization method is "
#~ "supported now. Please take the [official"
#~ " doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/tutorials/multi_npu_quantization.html)"
#~ " for example. Any [feedback](https://github.com"
#~ "/vllm-project/vllm-kunlun/issues/619) is welcome."
#~ " [#580](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/580)"
#~ msgstr ""
#~ "现在支持 Kunlun W8A8 量化方法。请参考[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/tutorials/multi_npu_quantization.html)"
#~ " 示例。欢迎提供任何[反馈](https://github.com/vllm-project/vllm-"
#~ "kunlun/issues/619)。[#580](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/580)"

#~ msgid ""
#~ "DeepSeek V3/R1 works with DP, TP "
#~ "and MTP now. Please note that it's"
#~ " still in experimental status. Let us"
#~ " know if you hit any problem. "
#~ "[#429](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/429) [#585](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/585)  [#626](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/626) [#636](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/636) "
#~ "[#671](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/671)"
#~ msgstr ""
#~ "DeepSeek V3/R1 现在已经支持 DP、TP 和 "
#~ "MTP。请注意，目前仍处于实验阶段。如果遇到任何问题，请告知我们。 [#429](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/429) "
#~ "[#585](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/585) [#626](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/626) [#636](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/636) [#671](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/671)"

#~ msgid ""
#~ "ACLGraph feature is supported with V1"
#~ " engine now. It's disabled by default"
#~ " because this feature rely on CANN"
#~ " 8.1 release. We'll make it available"
#~ " by default in the next release "
#~ "[#426](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/426)"
#~ msgstr ""
#~ "ACLGraph 特性现在已被 V1 引擎支持。它默认是禁用的，因为该特性依赖于 CANN"
#~ " 8.1 版本。我们将在下一个版本中默认启用此特性 [#426](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/426)。"

#~ msgid ""
#~ "Upgrade PyTorch to 2.5.1. vLLM Kunlun"
#~ " no longer relies on the dev "
#~ "version of torch-xpu now. Now "
#~ "users don't need to install the "
#~ "torch-xpu by hand. The 2.5.1 version"
#~ " of torch-xpu will be installed "
#~ "automatically. [#661](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/661)"
#~ msgstr ""
#~ "升级 PyTorch 至 2.5.1。vLLM Kunlun 现在不再依赖"
#~ " dev 版本的 torch-xpu，用户无需手动安装 torch-xpu"
#~ "。torch-xpu 的 2.5.1 "
#~ "版本将会自动安装。[#661](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/661)"

#~ msgid ""
#~ "MiniCPM model works now. "
#~ "[#645](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/645)"
#~ msgstr ""
#~ "MiniCPM 模型现在可以使用了。[#645](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/645)"

#~ msgid ""
#~ "openEuler container image supported with "
#~ "`v0.8.4-openeuler` tag and customs Ops "
#~ "build is enabled by default for "
#~ "openEuler OS. [#689](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/689)"
#~ msgstr ""
#~ "openEuler 容器镜像已支持 `v0.8.4-openeuler` 标签，并且 "
#~ "openEuler 操作系统默认启用了自定义 Ops "
#~ "构建。[#689](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/689)"

#~ msgid ""
#~ "Fix ModuleNotFoundError bug to make Lora"
#~ " work [#600](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/600)"
#~ msgstr ""
#~ "修复 ModuleNotFoundError 错误以使 Lora 正常工作 "
#~ "[#600](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/600)"

#~ msgid ""
#~ "Add \"Using EvalScope evaluation\" doc "
#~ "[#611](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/611)"
#~ msgstr ""
#~ "添加了“使用 EvalScope 评估”文档 [#611](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/611)"

#~ msgid ""
#~ "Add a `VLLM_VERSION` environment to make"
#~ " vLLM version configurable to help "
#~ "developer set correct vLLM version if"
#~ " the code of vLLM is changed by"
#~ " hand locally. [#651](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/651)"
#~ msgstr ""
#~ "新增了一个 `VLLM_VERSION` 环境变量，使 vLLM "
#~ "版本可以配置，帮助开发者在本地手动修改 vLLM 代码后，设置正确的 vLLM "
#~ "版本。[#651](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/651)"

#~ msgid "v0.8.4rc1 - 2025.04.18"
#~ msgstr "v0.8.4rc1 - 2025.04.18"

#~ msgid ""
#~ "This is the first release candidate "
#~ "of v0.8.4 for vllm-kunlun. Please "
#~ "follow the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/) to start the "
#~ "journey. From this version, vllm-kunlun"
#~ " will follow the newest version of"
#~ " vllm and release every two weeks."
#~ " For example, if vllm releases v0.8.5"
#~ " in the next two weeks, vllm-"
#~ "kunlun will release v0.8.5rc1 instead of"
#~ " v0.8.4rc2. Please find the detail "
#~ "from the [official documentation](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/community/versioning_policy.html"
#~ "#release-window)."
#~ msgstr ""
#~ "这是 vllm-kunlun v0.8.4 "
#~ "的第一个候选发布版本。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/)开始使用。本版本起，vllm-kunlun 将跟随 "
#~ "vllm 的最新版本并每两周发布一次。例如，如果 vllm 在接下来的两周内发布 "
#~ "v0.8.5，vllm-kunlun 将发布 v0.8.5rc1，而不是 "
#~ "v0.8.4rc2。详细信息请参考[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/community/versioning_policy.html"
#~ "#release-window)。"

#~ msgid ""
#~ "vLLM V1 engine experimental support is"
#~ " included in this version. You can"
#~ " visit [official "
#~ "guide](https://docs.vllm.ai/en/latest/getting_started/v1_user_guide.html)"
#~ " to get more detail. By default, "
#~ "vLLM will fallback to V0 if V1 "
#~ "doesn't work, please set `VLLM_USE_V1=1` "
#~ "environment if you want to use V1"
#~ " forcely."
#~ msgstr ""
#~ "本版本包含了对 vLLM V1 "
#~ "引擎的实验性支持。你可以访问[官方指南](https://docs.vllm.ai/en/latest/getting_started/v1_user_guide.html)获取更多详细信息。默认情况下，如果"
#~ " V1 不可用，vLLM 会自动回退到 V0。如果你想强制使用 V1，请设置 "
#~ "`VLLM_USE_V1=1` 环境变量。"

#~ msgid ""
#~ "LoRA、Multi-LoRA And Dynamic Serving is"
#~ " supported now. The performance will "
#~ "be improved in the next release. "
#~ "Please follow the [official "
#~ "doc](https://docs.vllm.ai/en/latest/features/lora.html) for "
#~ "more usage information. Thanks for the"
#~ " contribution from China Merchants Bank."
#~ " [#521](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/521)."
#~ msgstr ""
#~ "现在已支持 LoRA、Multi-LoRA "
#~ "和动态服务。性能将在下一个版本中得到提升。请参阅[官方文档](https://docs.vllm.ai/en/latest/features/lora.html)获取更多使用信息。感谢招商银行的贡献。[#521](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/521)。"

#~ msgid ""
#~ "Sleep Mode feature is supported. "
#~ "Currently it's only work on V0 "
#~ "engine. V1 engine support will come "
#~ "soon. [#513](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/513)"
#~ msgstr ""
#~ "已支持休眠模式功能。目前它只在V0引擎上有效，V1引擎的支持即将到来。[#513](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/513)"

#~ msgid ""
#~ "The Kunlun scheduler is added for "
#~ "V1 engine. This scheduler is more "
#~ "affinity with Kunlun hardware. More "
#~ "scheduler policy will be added in "
#~ "the future. [#543](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/543)"
#~ msgstr ""
#~ "为V1引擎新增了Kunlun调度器。该调度器与Kunlun硬件更加适配。未来还将添加更多调度策略。 "
#~ "[#543](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/543)"

#~ msgid ""
#~ "Disaggregated Prefill feature is supported."
#~ " Currently only 1P1D works. NPND is"
#~ " under design by vllm team. vllm-"
#~ "kunlun will support it once it's "
#~ "ready from vLLM. Follow the [official"
#~ " "
#~ "guide](https://docs.vllm.ai/en/latest/features/disagg_prefill.html)"
#~ " to use. [#432](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/432)"
#~ msgstr ""
#~ "支持分离式预填充（Disaggregated "
#~ "Prefill）功能。目前仅支持1P1D，NPND正在由vllm团队设计中。一旦vLLM支持，vllm-"
#~ "kunlun将会支持。请按照[官方指南](https://docs.vllm.ai/en/latest/features/disagg_prefill.html)使用。[#432](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/432)"

#~ msgid ""
#~ "Spec decode feature works now. Currently"
#~ " it's only work on V0 engine. "
#~ "V1 engine support will come soon. "
#~ "[#500](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/500)"
#~ msgstr ""
#~ "Spec 解码功能现在可以使用。目前它只在 V0 引擎上工作，对 V1 "
#~ "引擎的支持即将到来。[#500](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/500)"

#~ msgid ""
#~ "Structured output feature works now on"
#~ " V1 Engine. Currently it only "
#~ "supports xgrammar backend while using "
#~ "guidance backend may get some errors."
#~ " [#555](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/555)"
#~ msgstr ""
#~ "结构化输出功能现在已在V1引擎上生效。目前仅支持xgrammar后端，使用guidance后端可能会出现一些错误。[#555](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/555)"

#~ msgid ""
#~ "A new communicator `pyhccl` is added."
#~ " It's used for call CANN HCCL "
#~ "library directly instead of using "
#~ "`torch.distribute`. More usage of it "
#~ "will be added in the next release"
#~ " [#503](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/503)"
#~ msgstr ""
#~ "新增了一个通信器 `pyhccl`。它用于直接调用 CANN HCCL 库，而不是使用"
#~ " `torch.distribute`。将在下一个版本中添加更多用法 [#503](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/503)。"

#~ msgid ""
#~ "The custom ops build is enabled by"
#~ " default. You should install the "
#~ "packages like `gcc`, `cmake` first to"
#~ " build `vllm-kunlun` from source. Set"
#~ " `COMPILE_CUSTOM_KERNELS=0` environment to "
#~ "disable the compilation if you don't "
#~ "need it. [#466](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/466)"
#~ msgstr ""
#~ "自定义算子的构建默认是启用的。你应该先安装如 `gcc`、`cmake` 等包以便从源码编译 "
#~ "`vllm-kunlun`。如果不需要自定义算子的编译，可以设置环境变量 "
#~ "`COMPILE_CUSTOM_KERNELS=0` 来禁用编译。 "
#~ "[#466](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/466)"

#~ msgid ""
#~ "The custom op `rotay embedding` is "
#~ "enabled by default now to improve "
#~ "the performance. [#555](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/555)"
#~ msgstr ""
#~ "自定义算子 `rotay embedding` "
#~ "现在已默认启用，以提升性能。[#555](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/555)"

#~ msgid "v0.7.3rc2 - 2025.03.29"
#~ msgstr "v0.7.3rc2 - 2025.03.29"

#~ msgid ""
#~ "This is 2nd release candidate of "
#~ "v0.7.3 for vllm-kunlun. Please follow"
#~ " the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev) to start the"
#~ " journey."
#~ msgstr ""
#~ "这是 vllm-kunlun v0.7.3 "
#~ "的第二个候选发布版本。请根据[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev)开始使用。"

#~ msgid ""
#~ "Quickstart with container: https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/quick_start.html"
#~ msgstr ""
#~ "容器快速入门： https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/quick_start.html"

#~ msgid ""
#~ "Installation: https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/installation.html"
#~ msgstr "安装: https://vllm-kunlun.readthedocs.io/en/v0.7.3-dev/installation.html"

#~ msgid ""
#~ "Add Kunlun Custom Ops framewrok. "
#~ "Developers now can write customs ops "
#~ "using KunlunC. An example ops "
#~ "`rotary_embedding` is added. More tutorials"
#~ " will come soon. The Custom Ops "
#~ "compilation is disabled by default when"
#~ " installing vllm-kunlun. Set "
#~ "`COMPILE_CUSTOM_KERNELS=1` to enable it.  "
#~ "[#371](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/371)"
#~ msgstr ""
#~ "新增了Kunlun自定义算子框架。开发者现在可以使用KunlunC编写自定义算子。新增了一个示例算子 "
#~ "`rotary_embedding` 。更多教程即将发布。安装vllm-"
#~ "kunlun时，自定义算子的编译默认是关闭的。可通过设置 `COMPILE_CUSTOM_KERNELS=1` "
#~ "启用。[#371](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/371)"

#~ msgid ""
#~ "V1 engine is basic supported in "
#~ "this release. The full support will "
#~ "be done in 0.8.X release. If you"
#~ " hit any issue or have any "
#~ "requirement of V1 engine. Please tell"
#~ " us [here](https://github.com/vllm-project/vllm-"
#~ "kunlun/issues/414). [#376](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/376)"
#~ msgstr ""
#~ "本版本对 V1 引擎提供了基础支持，全面支持将在 0.8.X "
#~ "版本中完成。如果您遇到任何问题或有 V1 引擎的相关需求，请在[这里](https://github.com"
#~ "/vllm-project/vllm-"
#~ "kunlun/issues/414)告诉我们。[#376](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/376)"

#~ msgid ""
#~ "Prefix cache feature works now. You "
#~ "can set `enable_prefix_caching=True` to enable"
#~ " it. [#282](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/282)"
#~ msgstr ""
#~ "前缀缓存功能现在已经可用。你可以通过设置 `enable_prefix_caching=True` "
#~ "来启用该功能。[#282](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/282)"

#~ msgid ""
#~ "Bump torch_npu version to dev20250320.3 "
#~ "to improve accuracy to fix `!!!` "
#~ "output problem. [#406](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/406)"
#~ msgstr ""
#~ "将 torch_npu 版本升级到 dev20250320.3 以提升精度，修复 "
#~ "`!!!` 输出问题。[#406](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/406)"

#~ msgid ""
#~ "The performance of Qwen2-vl is improved"
#~ " by optimizing patch embedding (Conv3D)."
#~ " [#398](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/398)"
#~ msgstr ""
#~ "通过优化 patch embedding（Conv3D），Qwen2-vl "
#~ "的性能得到了提升。[#398](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/398)"

#~ msgid ""
#~ "Fixed a bug to make sure multi "
#~ "step scheduler feature work. "
#~ "[#349](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/349)"
#~ msgstr ""
#~ "修复了一个错误，以确保多步调度器功能正常工作。[#349](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/349)"

#~ msgid ""
#~ "Fixed a bug to make prefix cache"
#~ " feature works with correct accuracy. "
#~ "[#424](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/424)"
#~ msgstr ""
#~ "修复了一个 bug，使前缀缓存功能能够以正确的准确性运行。[#424](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/424)"

#~ msgid "v0.7.3rc1 - 2025.03.14"
#~ msgstr "v0.7.3rc1 - 2025.03.14"

#~ msgid ""
#~ "🎉 Hello, World! This is the first"
#~ " release candidate of v0.7.3 for "
#~ "vllm-kunlun. Please follow the [official"
#~ " doc](https://vllm-kunlun.readthedocs.io/en/v0.7.3-dev) "
#~ "to start the journey."
#~ msgstr ""
#~ "🎉 你好，世界！这是 vllm-kunlun v0.7.3 "
#~ "的第一个候选发布版本。请按照[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev)开始你的旅程。"

#~ msgid ""
#~ "DeepSeek V3/R1 works well now. Read "
#~ "the [official guide](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/tutorials/multi_node.html) "
#~ "to start! [#242](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/242)"
#~ msgstr ""
#~ "DeepSeek V3/R1 现在运行良好。请阅读[官方指南](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/tutorials/multi_node.html)开始！[#242](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/242)"

#~ msgid ""
#~ "Speculative decoding feature is supported. "
#~ "[#252](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/252)"
#~ msgstr "已支持猜测性解码功能。[#252](https://github.com/vllm-project/vllm-kunlun/pull/252)"

#~ msgid ""
#~ "Multi step scheduler feature is "
#~ "supported. [#300](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/300)"
#~ msgstr "已支持多步调度器功能。[#300](https://github.com/vllm-project/vllm-kunlun/pull/300)"

#~ msgid ""
#~ "Bump torch_npu version to dev20250308.3 "
#~ "to improve `_exponential` accuracy"
#~ msgstr "将 torch_npu 版本升级到 dev20250308.3，以提升 `_exponential` 的精度"

#~ msgid ""
#~ "Added initial support for pooling "
#~ "models. Bert based model, such as "
#~ "`BAAI/bge-base-en-v1.5` and `BAAI/bge-"
#~ "reranker-v2-m3` works now. [#229](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/229)"
#~ msgstr ""
#~ "新增了对池化模型的初步支持。现在支持 Bert 基础模型，如 `BAAI/bge-"
#~ "base-en-v1.5` 和 `BAAI/bge-reranker-v2-m3`。 "
#~ "[#229](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/229)"

#~ msgid ""
#~ "The performance of Qwen2-VL is improved."
#~ " [#241](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/241)"
#~ msgstr ""
#~ "Qwen2-VL 的性能得到了提升。[#241](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/241)"

#~ msgid ""
#~ "MiniCPM is now supported "
#~ "[#164](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/164)"
#~ msgstr ""
#~ "MiniCPM 现在已被支持 [#164](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/164)"

#~ msgid ""
#~ "Support MTP(Multi-Token Prediction) for "
#~ "DeepSeek V3/R1 [#236](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/236)"
#~ msgstr ""
#~ "为 DeepSeek V3/R1 支持 MTP（多标记预测） "
#~ "[#236](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/236)"

#~ msgid ""
#~ "[Docs] Added more model tutorials, "
#~ "include DeepSeek, QwQ, Qwen and Qwen "
#~ "2.5VL. See the [official doc](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/tutorials/index.html) for"
#~ " detail"
#~ msgstr ""
#~ "[文档] 增加了更多的模型教程，包括 DeepSeek、QwQ、Qwen 和 Qwen"
#~ " 2.5VL。详情请参见[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.3-dev/tutorials/index.html)。"

#~ msgid ""
#~ "Pin modelscope<1.23.0 on vLLM v0.7.3 to"
#~ " resolve: https://github.com/vllm-"
#~ "project/vllm/pull/13807"
#~ msgstr ""
#~ "在 vLLM v0.7.3 上锁定 modelscope 版本低于 "
#~ "1.23.0，以解决：https://github.com/vllm-project/vllm/pull/13807"

#~ msgid "Known issues"
#~ msgstr "已知问题"

#~ msgid ""
#~ "In [some cases](https://github.com/vllm-project"
#~ "/vllm-kunlun/issues/324), especially when the "
#~ "input/output is very long, the accuracy"
#~ " of output may be incorrect. We "
#~ "are working on it. It'll be fixed"
#~ " in the next release."
#~ msgstr ""
#~ "在[某些情况下](https://github.com/vllm-project/vllm-"
#~ "kunlun/issues/324)，特别是当输入或输出非常长时，输出的准确性可能会有误。我们正在解决这个问题。将在下一个版本中修复。"

#~ msgid ""
#~ "Improved and reduced the garbled code"
#~ " in model output. But if you "
#~ "still hit the issue, try to change"
#~ " the generation config value, such as"
#~ " `temperature`, and try again. There "
#~ "is also a knonwn issue shown "
#~ "below. Any [feedback](https://github.com/vllm-"
#~ "project/vllm-kunlun/issues/267) is welcome. "
#~ "[#277](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/277)"
#~ msgstr ""
#~ "改进并减少了模型输出中的乱码问题。但如果你仍然遇到该问题，请尝试更改生成配置的参数，例如 "
#~ "`temperature`，然后再试一次。下面还列出了一个已知问题。欢迎提供任何[反馈](https://github.com"
#~ "/vllm-project/vllm-"
#~ "kunlun/issues/267)。[#277](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/277)"

#~ msgid "v0.7.1rc1 - 2025.02.19"
#~ msgstr "v0.7.1rc1 - 2025.02.19"

#~ msgid ""
#~ "We are excited to announce the "
#~ "first release candidate of v0.7.1 for"
#~ " vllm-kunlun."
#~ msgstr "我们很高兴地宣布 vllm-kunlun v0.7.1 的第一个候选版本发布。"

#~ msgid ""
#~ "vLLM Kunlun Plugin (vllm-kunlun) is "
#~ "a community maintained hardware plugin "
#~ "for running vLLM on the Kunlun "
#~ "XPU. With this release, users can "
#~ "now enjoy the latest features and "
#~ "improvements of vLLM on the Kunlun "
#~ "XPU."
#~ msgstr ""
#~ "vLLM Kunlun 插件（vllm-kunlun）是一个由社区维护的硬件插件，用于在 "
#~ "Kunlun XPU 上运行 vLLM。通过此版本，用户现在可以在 Kunlun "
#~ "XPU 上享受到 vLLM 的最新功能和改进。"

#~ msgid ""
#~ "Please follow the [official doc](https"
#~ "://vllm-kunlun.readthedocs.io/en/v0.7.1-dev) to start"
#~ " the journey. Note that this is "
#~ "a release candidate, and there may "
#~ "be some bugs or issues. We "
#~ "appreciate your feedback and suggestions "
#~ "[here](https://github.com/vllm-project/vllm-"
#~ "kunlun/issues/19)"
#~ msgstr ""
#~ "请参阅[官方文档](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.1-dev)开始您的体验之旅。请注意，这是一个候选发布版本，可能会有一些漏洞或问题。我们非常欢迎您在[这里](https://github.com"
#~ "/vllm-project/vllm-kunlun/issues/19)提交反馈和建议。"

#~ msgid ""
#~ "Initial supports for Kunlun XPU on "
#~ "vLLM. [#3](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/3)"
#~ msgstr ""
#~ "在 vLLM 上初步支持 Kunlun "
#~ "XPU。[#3](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/3)"

#~ msgid ""
#~ "DeepSeek is now supported. "
#~ "[#88](https://github.com/vllm-project/vllm-kunlun/pull/88)"
#~ " [#68](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/68)"
#~ msgstr ""
#~ "现在已支持 DeepSeek。 [#88](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/88) [#68](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/68)"

#~ msgid ""
#~ "Qwen, Llama series and other popular "
#~ "models are also supported, you can "
#~ "see more details in [here](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/user_guide/supported_models.html)."
#~ msgstr ""
#~ "Qwen、Llama 系列及其他流行的模型也受支持，更多详情可参见[这里](https://vllm-"
#~ "kunlun.readthedocs.io/en/latest/user_guide/supported_models.html)。"

#~ msgid ""
#~ "Added the Kunlun quantization config "
#~ "option, the implementation will coming "
#~ "soon. [#7](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/7) [#73](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/73)"
#~ msgstr ""
#~ "新增了 Kunlun 量化配置选项，具体实现即将推出。[#7](https://github.com"
#~ "/vllm-project/vllm-kunlun/pull/7) "
#~ "[#73](https://github.com/vllm-project/vllm-kunlun/pull/73)"

#~ msgid ""
#~ "Add silu_and_mul and rope ops and "
#~ "add mix ops into attention layer. "
#~ "[#18](https://github.com/vllm-project/vllm-kunlun/pull/18)"
#~ msgstr ""
#~ "添加 silu_and_mul 和 rope 操作，并将混合操作加入到 "
#~ "attention 层。 [#18](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/18)"

#~ msgid ""
#~ "[CI] Enable Kunlun CI to actively "
#~ "monitor and improve quality for vLLM "
#~ "on Kunlun. [#3](https://github.com/vllm-project"
#~ "/vllm-kunlun/pull/3)"
#~ msgstr ""
#~ "[CI] 启用 Kunlun CI，主动监测并提升 vLLM 在 "
#~ "Kunlun 上的质量。[#3](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/3)"

#~ msgid ""
#~ "[Docker] Add vllm-kunlun container image"
#~ " [#64](https://github.com/vllm-project/vllm-"
#~ "kunlun/pull/64)"
#~ msgstr ""
#~ "[Docker] 添加 vllm-kunlun 容器镜像 "
#~ "[#64](https://github.com/vllm-project/vllm-kunlun/pull/64)"

#~ msgid ""
#~ "[Docs] Add a [live doc](https://vllm-"
#~ "kunlun.readthedocs.org) [#55](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/55)"
#~ msgstr ""
#~ "[文档] 添加了一个 [在线文档](https://vllm-"
#~ "kunlun.readthedocs.org) [#55](https://github.com/vllm-"
#~ "project/vllm-kunlun/pull/55)"

#~ msgid ""
#~ "This release relies on an unreleased "
#~ "torch_npu version. It has been installed"
#~ " within official container image already."
#~ " Please [install](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.1rc1/installation.html) it "
#~ "manually if you are using non-"
#~ "container environment."
#~ msgstr ""
#~ "此版本依赖于尚未发布的 torch_npu "
#~ "版本。该版本已集成在官方容器镜像中。如果您使用的是非容器环境，请[手动安装](https://vllm-"
#~ "kunlun.readthedocs.io/en/v0.7.1rc1/installation.html)。"

#~ msgid ""
#~ "There are logs like `No platform "
#~ "detected, vLLM is running on "
#~ "UnspecifiedPlatform` or `Failed to import "
#~ "from vllm._C with ModuleNotFoundError(\"No "
#~ "module named 'vllm._C'\")` shown when "
#~ "running vllm-kunlun. It actually doesn't"
#~ " affect any functionality and performance."
#~ " You can just ignore it. And it"
#~ " has been fixed in this "
#~ "[PR](https://github.com/vllm-project/vllm/pull/12432) "
#~ "which will be included in v0.7.3 "
#~ "soon."
#~ msgstr ""
#~ "在运行 vllm-kunlun 时，会显示类似 `No platform "
#~ "detected, vLLM is running on "
#~ "UnspecifiedPlatform` 或 `Failed to import "
#~ "from vllm._C with ModuleNotFoundError(\"No "
#~ "module named 'vllm._C'\")` "
#~ "的日志。这实际上不会影响任何功能和性能，你可以直接忽略它。这个问题已在此 [PR](https://github.com"
#~ "/vllm-project/vllm/pull/12432) 中修复，并很快会在 v0.7.3 "
#~ "版本中包含。"

#~ msgid ""
#~ "There are logs like `# CPU blocks:"
#~ " 35064, # CPU blocks: 2730` shown "
#~ "when running vllm-kunlun which should"
#~ " be `# XPU blocks:` . It "
#~ "actually doesn't affect any functionality "
#~ "and performance. You can just ignore "
#~ "it. And it has been fixed in "
#~ "this [PR](https://github.com/vllm-project/vllm/pull/13378)"
#~ " which will be included in v0.7.3 "
#~ "soon."
#~ msgstr ""
#~ "在运行 vllm-kunlun 时，会显示类似 `# CPU "
#~ "blocks: 35064, # CPU blocks: 2730` "
#~ "的日志，实际应该为 `# XPU "
#~ "blocks:`。这实际上不会影响任何功能和性能，你可以忽略它。该问题已在这个 [PR](https://github.com"
#~ "/vllm-project/vllm/pull/13378) 中修复，并将在 v0.7.3 "
#~ "版本中包含。"

