# 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: 2025-07-18 10:11+0800\n"
"Last-Translator: \n"
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#: ../../user_guide/release_notes.md:1
msgid "Release note"
msgstr "版本说明"

#: ../../user_guide/release_notes.md:3
msgid "v0.9.2rc1 - 2025.07.11"
msgstr ""

#: ../../user_guide/release_notes.md:5
msgid ""
"This is the 1st release candidate of v0.9.2 for vLLM Ascend. Please follow "
"the [official doc](https://vllm-ascend.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 Ascend v0.9.2 的第一个候选发布版本。请参阅[官方文档](https://vllm-"
"ascend.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。"

#: ../../user_guide/release_notes.md:7 ../../user_guide/release_notes.md:34
#: ../../user_guide/release_notes.md:70 ../../user_guide/release_notes.md:78
#: ../../user_guide/release_notes.md:116 ../../user_guide/release_notes.md:140
#: ../../user_guide/release_notes.md:163 ../../user_guide/release_notes.md:186
#: ../../user_guide/release_notes.md:206 ../../user_guide/release_notes.md:231
#: ../../user_guide/release_notes.md:253 ../../user_guide/release_notes.md:285
msgid "Highlights"
msgstr "亮点"

#: ../../user_guide/release_notes.md:8
msgid ""
"Pooling model works with V1 engine now. You can take a try with Qwen3 "
"embedding model [#1359](https://github.com/vllm-project/vllm-ascend/"
"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-ascend/pull/1359)。"

#: ../../user_guide/release_notes.md:9
msgid ""
"The performance on Atlas 300I series has been improved. [#1591](https://"
"github.com/vllm-project/vllm-ascend/pull/1591)"
msgstr ""
"Atlas 300I 系列的性能已经提升。 [#1591](https://github.com/vllm-project/"
"vllm-ascend/pull/1591)"

#: ../../user_guide/release_notes.md:10
msgid ""
"aclgraph mode works with Moe models now. Currently, only Qwen3 Moe is well "
"tested. [#1381](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/1381)"

#: ../../user_guide/release_notes.md:12 ../../user_guide/release_notes.md:39
#: ../../user_guide/release_notes.md:83 ../../user_guide/release_notes.md:146
#: ../../user_guide/release_notes.md:168 ../../user_guide/release_notes.md:191
#: ../../user_guide/release_notes.md:212 ../../user_guide/release_notes.md:236
#: ../../user_guide/release_notes.md:258 ../../user_guide/release_notes.md:291
msgid "Core"
msgstr "核心"

#: ../../user_guide/release_notes.md:13
msgid ""
"Ascend 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-ascend/pull/1347)"
msgstr ""
"Ascend 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-"
"ascend/pull/1347)"

#: ../../user_guide/release_notes.md:14
msgid ""
"The **GatherV3** error has been fixed with **aclgraph** mode. [#1416]"
"(https://github.com/vllm-project/vllm-ascend/pull/1416)"
msgstr ""
"**GatherV3** 错误已通过 **aclgraph** 模式修复。[#1416](https://github.com/"
"vllm-project/vllm-ascend/pull/1416)"

#: ../../user_guide/release_notes.md:15
msgid ""
"W8A8 quantization works on Atlas 300I series now. [#1560](https://github."
"com/vllm-project/vllm-ascend/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-ascend/pull/1560)"

#: ../../user_guide/release_notes.md:16
msgid ""
"Fix the accuracy problem with deploy models with parallel parameters. "
"[#1678](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/1678)"

#: ../../user_guide/release_notes.md:17
msgid ""
"The pre-built wheel package now requires lower version of glibc. Users can "
"use it by `pip install vllm-ascend` directly. [#1582](https://github.com/"
"vllm-project/vllm-ascend/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-ascend` 使用它。[#1582](https://github.com/vllm-project/vllm-ascend/"
"pull/1582)"

#: ../../user_guide/release_notes.md:19 ../../user_guide/release_notes.md:99
#: ../../user_guide/release_notes.md:153 ../../user_guide/release_notes.md:177
#: ../../user_guide/release_notes.md:195 ../../user_guide/release_notes.md:219
#: ../../user_guide/release_notes.md:242 ../../user_guide/release_notes.md:266
#: ../../user_guide/release_notes.md:296
msgid "Other"
msgstr "其它"

#: ../../user_guide/release_notes.md:20
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。"

#: ../../user_guide/release_notes.md:21
msgid ""
"Fix accuracy problem for deepseek V3/R1 models with torchair graph in long "
"sequence predictions. [#1331](https://github.com/vllm-project/vllm-ascend/"
"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-ascend/pull/1331)"

#: ../../user_guide/release_notes.md:22
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-"
"ascend/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-ascend/pull/1335)"

#: ../../user_guide/release_notes.md:23
msgid ""
"A new env variable `VLLM_ASCEND_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-ascend/pull/1732)"
msgstr ""
"新增了一个环境变量 `VLLM_ASCEND_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-ascend/pull/1732)。"

#: ../../user_guide/release_notes.md:24
msgid ""
"A batch of bugs have been fixed for Data Parallelism case [#1273](https://"
"github.com/vllm-project/vllm-ascend/pull/1273) [#1322](https://github.com/"
"vllm-project/vllm-ascend/pull/1322) [#1275](https://github.com/vllm-project/"
"vllm-ascend/pull/1275) [#1478](https://github.com/vllm-project/vllm-ascend/"
"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-ascend/pull/1273) [#1322](https://github.com/vllm-project/vllm-ascend/"
"pull/1322) [#1275](https://github.com/vllm-project/vllm-ascend/pull/1275) "
"[#1478](https://github.com/vllm-project/vllm-ascend/pull/1478)"

#: ../../user_guide/release_notes.md:25
msgid ""
"The DeepSeek performance has been improved. [#1194](https://github.com/vllm-"
"project/vllm-ascend/pull/1194) [#1395](https://github.com/vllm-project/vllm-"
"ascend/pull/1395) [#1380](https://github.com/vllm-project/vllm-ascend/"
"pull/1380)"
msgstr ""
"DeepSeek 的性能已得到提升。[#1194](https://github.com/vllm-project/vllm-"
"ascend/pull/1194) [#1395](https://github.com/vllm-project/vllm-ascend/"
"pull/1395) [#1380](https://github.com/vllm-project/vllm-ascend/pull/1380)"

#: ../../user_guide/release_notes.md:26
msgid ""
"Ascend scheduler works with prefix cache now. [#1446](https://github.com/"
"vllm-project/vllm-ascend/pull/1446)"
msgstr ""
"Ascend 调度器现在支持前缀缓存。[#1446](https://github.com/vllm-project/vllm-"
"ascend/pull/1446)"

#: ../../user_guide/release_notes.md:27
msgid ""
"DeepSeek now works with prefix cache now. [#1498](https://github.com/vllm-"
"project/vllm-ascend/pull/1498)"
msgstr ""
"DeepSeek 现在支持前缀缓存了。[#1498](https://github.com/vllm-project/vllm-"
"ascend/pull/1498)"

#: ../../user_guide/release_notes.md:28
msgid ""
"Support prompt logprobs to recover ceval accuracy in V1 [#1483](https://"
"github.com/vllm-project/vllm-ascend/pull/1483)"
msgstr ""
"支持使用 prompt logprobs 恢复 V1 的 ceval 准确率 [#1483](https://github.com/"
"vllm-project/vllm-ascend/pull/1483)"

#: ../../user_guide/release_notes.md:30
msgid "v0.9.1rc1 - 2025.06.22"
msgstr "v0.9.1rc1 - 2025.06.22"

#: ../../user_guide/release_notes.md:32
msgid ""
"This is the 1st release candidate of v0.9.1 for vLLM Ascend. Please follow "
"the [official doc](https://vllm-ascend.readthedocs.io/en/) to get started."
msgstr ""
"这是 vLLM Ascend v0.9.1 的第一个候选发布版本。请按照[官方文档](https://vllm-"
"ascend.readthedocs.io/en/)开始使用。"

#: ../../user_guide/release_notes.md:36
msgid ""
"Atlas 300I series is experimental supported in this release. [#1333]"
"(https://github.com/vllm-project/vllm-ascend/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-ascend/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。"

#: ../../user_guide/release_notes.md:37
msgid ""
"Support EAGLE-3 for speculative decoding. [#1032](https://github.com/vllm-"
"project/vllm-ascend/pull/1032)"
msgstr ""
"支持 EAGLE-3 进行推测式解码。[#1032](https://github.com/vllm-project/vllm-"
"ascend/pull/1032)"

#: ../../user_guide/release_notes.md:40
msgid ""
"Ascend 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-ascend/pull/1235)"
msgstr ""
"Ascend 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-"
"ascend/pull/1235)"

#: ../../user_guide/release_notes.md:41
msgid ""
"Support Atlas 300I series container image. You can get it from [quay.io]"
"(https://quay.io/repository/vllm/vllm-ascend)"
msgstr ""
"支持Atlas 300I系列的容器镜像。你可以从[quay.io](https://quay.io/repository/"
"vllm/vllm-ascend)获取。"

#: ../../user_guide/release_notes.md:42
msgid ""
"Fix token-wise padding mechanism to make multi-card graph mode work. [#1300]"
"(https://github.com/vllm-project/vllm-ascend/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-ascend/pull/1300)"

#: ../../user_guide/release_notes.md:43
msgid ""
"Upgrade vllm to 0.9.1 [#1165]https://github.com/vllm-project/vllm-ascend/"
"pull/1165"
msgstr ""
"将 vllm 升级到 0.9.1 [#1165]https://github.com/vllm-project/vllm-ascend/"
"pull/1165"

#: ../../user_guide/release_notes.md:45
msgid "Other Improvements"
msgstr "其他改进"

#: ../../user_guide/release_notes.md:46
msgid ""
"Initial support Chunked Prefill for MLA. [#1172](https://github.com/vllm-"
"project/vllm-ascend/pull/1172)"
msgstr ""
"为MLA初步支持分块预填充。 [#1172](https://github.com/vllm-project/vllm-"
"ascend/pull/1172)"

#: ../../user_guide/release_notes.md:47
msgid ""
"An example of best practices to run DeepSeek with ETP has been added. "
"[#1101](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/1101)"

#: ../../user_guide/release_notes.md:48
msgid ""
"Performance improvements for DeepSeek using the TorchAir graph. [#1098]"
"(https://github.com/vllm-project/vllm-ascend/pull/1098), [#1131](https://"
"github.com/vllm-project/vllm-ascend/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-ascend/pull/1098), [#1131](https://github.com/vllm-"
"project/vllm-ascend/pull/1131)"

#: ../../user_guide/release_notes.md:49
msgid ""
"Supports the speculative decoding feature with AscendScheduler. [#943]"
"(https://github.com/vllm-project/vllm-ascend/pull/943)"
msgstr ""
"支持 AscendScheduler 的预测性解码功能。[#943](https://github.com/vllm-"
"project/vllm-ascend/pull/943)"

#: ../../user_guide/release_notes.md:50
msgid ""
"Improve `VocabParallelEmbedding` custom op performance. It will be enabled "
"in the next release. [#796](https://github.com/vllm-project/vllm-ascend/"
"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-ascend/pull/796)"

#: ../../user_guide/release_notes.md:51
msgid ""
"Fixed a device discovery and setup bug when running vLLM Ascend on Ray "
"[#884](https://github.com/vllm-project/vllm-ascend/pull/884)"
msgstr ""
"修复了在 Ray 上运行 vLLM Ascend 时的设备发现和设置错误 [#884](https://"
"github.com/vllm-project/vllm-ascend/pull/884)"

#: ../../user_guide/release_notes.md:52
msgid ""
"DeepSeek with [MC2](https://www.hiascend.com/document/detail/zh/"
"canncommercial/81RC1/developmentguide/opdevg/ascendcbestP/"
"atlas_ascendc_best_practices_10_0043.html) (Merged Compute and "
"Communication) now works properly. [#1268](https://github.com/vllm-project/"
"vllm-ascend/pull/1268)"
msgstr ""
"DeepSeek 现已可以与 [MC2](https://www.hiascend.com/document/detail/zh/"
"canncommercial/81RC1/developmentguide/opdevg/ascendcbestP/"
"atlas_ascendc_best_practices_10_0043.html)（计算与通信融合）正常工作。"
"[#1268](https://github.com/vllm-project/vllm-ascend/pull/1268)"

#: ../../user_guide/release_notes.md:53
msgid ""
"Fixed log2phy NoneType bug with static EPLB feature. [#1186](https://github."
"com/vllm-project/vllm-ascend/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-ascend/pull/1186)"

#: ../../user_guide/release_notes.md:54
msgid ""
"Improved performance for DeepSeek with DBO enabled. [#997](https://github."
"com/vllm-project/vllm-ascend/pull/997), [#1135](https://github.com/vllm-"
"project/vllm-ascend/pull/1135)"
msgstr ""
"启用 DBO 后，DeepSeek 的性能得到提升。[#997](https://github.com/vllm-"
"project/vllm-ascend/pull/997)，[#1135](https://github.com/vllm-project/vllm-"
"ascend/pull/1135)"

#: ../../user_guide/release_notes.md:55
msgid ""
"Refactoring AscendFusedMoE [#1229](https://github.com/vllm-project/vllm-"
"ascend/pull/1229)"
msgstr ""
"重构 AscendFusedMoE [#1229](https://github.com/vllm-project/vllm-ascend/"
"pull/1229)"

#: ../../user_guide/release_notes.md:56
msgid ""
"Add initial user stories page (include LLaMA-Factory/TRL/verl/MindIE Turbo/"
"GPUStack) [#1224](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/1224)"

#: ../../user_guide/release_notes.md:57
msgid ""
"Add unit test framework [#1201](https://github.com/vllm-project/vllm-ascend/"
"pull/1201)"
msgstr ""
"添加单元测试框架 [#1201](https://github.com/vllm-project/vllm-ascend/"
"pull/1201)"

#: ../../user_guide/release_notes.md:59
msgid "Known Issues"
msgstr "已知问题"

#: ../../user_guide/release_notes.md:60
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-ascend/"
"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-ascend/issues/1038)"

#: ../../user_guide/release_notes.md:61
msgid ""
"Prefix cache feature does not work with the Ascend Scheduler but without "
"chunked prefill enabled. This will be fixed in the next release. [#1350]"
"(https://github.com/vllm-project/vllm-ascend/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 Ascend 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-ascend/"
"issues/1350)"

#: ../../user_guide/release_notes.md:63
msgid "Full Changelog"
msgstr "完整更新日志"

#: ../../user_guide/release_notes.md:64
msgid ""
"https://github.com/vllm-project/vllm-ascend/compare/v0.9.0rc2...v0.9.1rc1"
msgstr ""
"https://github.com/vllm-project/vllm-ascend/compare/v0.9.0rc2...v0.9.1rc1"

#: ../../user_guide/release_notes.md:66
msgid "v0.9.0rc2 - 2025.06.10"
msgstr "v0.9.0rc2 - 2025.06.10"

#: ../../user_guide/release_notes.md:68
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。"

#: ../../user_guide/release_notes.md:72
msgid ""
"Fix the import error when vllm-ascend is installed without editable way. "
"[#1152](https://github.com/vllm-project/vllm-ascend/pull/1152)"
msgstr ""
"修复当以非可编辑方式安装 vllm-ascend 时的导入错误。[#1152](https://github."
"com/vllm-project/vllm-ascend/pull/1152)"

#: ../../user_guide/release_notes.md:74
msgid "v0.9.0rc1 - 2025.06.09"
msgstr "v0.9.0rc1 - 2025.06.09"

#: ../../user_guide/release_notes.md:76
msgid ""
"This is the 1st release candidate of v0.9.0 for vllm-ascend. Please follow "
"the [official doc](https://vllm-ascend.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-ascend v0.9.0 的第一个候选发布版本。请按照[官方文档](https://vllm-"
"ascend.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`。"

#: ../../user_guide/release_notes.md:80
msgid ""
"DeepSeek works with graph mode now. Follow the [official doc](https://vllm-"
"ascend.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html) "
"to take a try. [#789](https://github.com/vllm-project/vllm-ascend/pull/789)"
msgstr ""
"DeepSeek 现在已支持图模式。请按照[官方文档](https://vllm-ascend.readthedocs."
"io/en/latest/user_guide/feature_guide/graph_mode.html)进行尝试。[#789]"
"(https://github.com/vllm-project/vllm-ascend/pull/789)"

#: ../../user_guide/release_notes.md:81
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。"

#: ../../user_guide/release_notes.md:85
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-ascend/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-ascend/pull/814)"

#: ../../user_guide/release_notes.md:86
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-ascend/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-ascend/pull/893)"

#: ../../user_guide/release_notes.md:87
msgid ""
"Prefix cache and chunked prefill feature works now [#782](https://github."
"com/vllm-project/vllm-ascend/pull/782) [#844](https://github.com/vllm-"
"project/vllm-ascend/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-ascend/pull/782) [#844](https://github.com/vllm-project/vllm-ascend/"
"pull/844)"

#: ../../user_guide/release_notes.md:88
msgid ""
"Spec decode and MTP features work with V1 Engine now. [#874](https://github."
"com/vllm-project/vllm-ascend/pull/874) [#890](https://github.com/vllm-"
"project/vllm-ascend/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-ascend/pull/874) [#890](https://github.com/vllm-project/vllm-"
"ascend/pull/890)"

#: ../../user_guide/release_notes.md:89
msgid ""
"DP feature works with DeepSeek now. [#1012](https://github.com/vllm-project/"
"vllm-ascend/pull/1012)"
msgstr ""
"DP 功能现在可以与 DeepSeek 一起使用。[#1012](https://github.com/vllm-"
"project/vllm-ascend/pull/1012)"

#: ../../user_guide/release_notes.md:90
msgid ""
"Input embedding feature works with V0 Engine now. [#916](https://github.com/"
"vllm-project/vllm-ascend/pull/916)"
msgstr ""
"输入嵌入特性现在已支持 V0 引擎。[#916](https://github.com/vllm-project/vllm-"
"ascend/pull/916)"

#: ../../user_guide/release_notes.md:91
msgid ""
"Sleep mode feature works with V1 Engine now. [#1084](https://github.com/"
"vllm-project/vllm-ascend/pull/1084)"
msgstr ""
"休眠模式功能现在已支持 V1 引擎。[#1084](https://github.com/vllm-project/"
"vllm-ascend/pull/1084)"

#: ../../user_guide/release_notes.md:93 ../../user_guide/release_notes.md:149
#: ../../user_guide/release_notes.md:239 ../../user_guide/release_notes.md:262
msgid "Model"
msgstr "模型"

#: ../../user_guide/release_notes.md:95
msgid ""
"Qwen2.5 VL works with V1 Engine now. [#736](https://github.com/vllm-project/"
"vllm-ascend/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-ascend/pull/736)"

#: ../../user_guide/release_notes.md:96
msgid ""
"LLama4 works now. [#740](https://github.com/vllm-project/vllm-ascend/"
"pull/740)"
msgstr ""
"LLama4 现在可以使用了。[#740](https://github.com/vllm-project/vllm-ascend/"
"pull/740)"

#: ../../user_guide/release_notes.md:97
msgid ""
"A new kind of DeepSeek model called dual-batch overlap(DBO) is added. "
"Please set `VLLM_ASCEND_ENABLE_DBO=1` to use it. [#941](https://github.com/"
"vllm-project/vllm-ascend/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_ASCEND_ENABLE_DBO=1` 以启用。 [#941](https://github.com/vllm-project/"
"vllm-ascend/pull/941)"

#: ../../user_guide/release_notes.md:101
msgid ""
"online serve with ascend quantization works now. [#877](https://github.com/"
"vllm-project/vllm-ascend/pull/877)"
msgstr ""
"在线服务现已支持Ascend量化。[#877](https://github.com/vllm-project/vllm-"
"ascend/pull/877)"

#: ../../user_guide/release_notes.md:102
msgid ""
"A batch of bugs for graph mode and moe model have been fixed. [#773]"
"(https://github.com/vllm-project/vllm-ascend/pull/773) [#771](https://"
"github.com/vllm-project/vllm-ascend/pull/771) [#774](https://github.com/"
"vllm-project/vllm-ascend/pull/774) [#816](https://github.com/vllm-project/"
"vllm-ascend/pull/816) [#817](https://github.com/vllm-project/vllm-ascend/"
"pull/817) [#819](https://github.com/vllm-project/vllm-ascend/pull/819) "
"[#912](https://github.com/vllm-project/vllm-ascend/pull/912) [#897](https://"
"github.com/vllm-project/vllm-ascend/pull/897) [#961](https://github.com/"
"vllm-project/vllm-ascend/pull/961) [#958](https://github.com/vllm-project/"
"vllm-ascend/pull/958) [#913](https://github.com/vllm-project/vllm-ascend/"
"pull/913) [#905](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/773) [#771](https://github.com/vllm-project/vllm-ascend/"
"pull/771) [#774](https://github.com/vllm-project/vllm-ascend/pull/774) "
"[#816](https://github.com/vllm-project/vllm-ascend/pull/816) [#817](https://"
"github.com/vllm-project/vllm-ascend/pull/817) [#819](https://github.com/"
"vllm-project/vllm-ascend/pull/819) [#912](https://github.com/vllm-project/"
"vllm-ascend/pull/912) [#897](https://github.com/vllm-project/vllm-ascend/"
"pull/897) [#961](https://github.com/vllm-project/vllm-ascend/pull/961) "
"[#958](https://github.com/vllm-project/vllm-ascend/pull/958) [#913](https://"
"github.com/vllm-project/vllm-ascend/pull/913) [#905](https://github.com/"
"vllm-project/vllm-ascend/pull/905)"

#: ../../user_guide/release_notes.md:103
msgid ""
"A batch of performance improvement PRs have been merged. [#784](https://"
"github.com/vllm-project/vllm-ascend/pull/784) [#803](https://github.com/"
"vllm-project/vllm-ascend/pull/803) [#966](https://github.com/vllm-project/"
"vllm-ascend/pull/966) [#839](https://github.com/vllm-project/vllm-ascend/"
"pull/839) [#970](https://github.com/vllm-project/vllm-ascend/pull/970) "
"[#947](https://github.com/vllm-project/vllm-ascend/pull/947) [#987](https://"
"github.com/vllm-project/vllm-ascend/pull/987) [#1085](https://github.com/"
"vllm-project/vllm-ascend/pull/1085)"
msgstr ""
"一批性能改进的 PR 已被合并。[#784](https://github.com/vllm-project/vllm-"
"ascend/pull/784) [#803](https://github.com/vllm-project/vllm-ascend/"
"pull/803) [#966](https://github.com/vllm-project/vllm-ascend/pull/966) "
"[#839](https://github.com/vllm-project/vllm-ascend/pull/839) [#970](https://"
"github.com/vllm-project/vllm-ascend/pull/970) [#947](https://github.com/"
"vllm-project/vllm-ascend/pull/947) [#987](https://github.com/vllm-project/"
"vllm-ascend/pull/987) [#1085](https://github.com/vllm-project/vllm-ascend/"
"pull/1085)"

#: ../../user_guide/release_notes.md:104
msgid ""
"From this release, binary wheel package will be released as well. [#775]"
"(https://github.com/vllm-project/vllm-ascend/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-ascend/pull/775)"

#: ../../user_guide/release_notes.md:105
msgid ""
"The contributor doc site is [added](https://vllm-ascend.readthedocs.io/en/"
"latest/community/contributors.html)"
msgstr ""
"贡献者文档站点已[添加](https://vllm-ascend.readthedocs.io/en/latest/"
"community/contributors.html)"

#: ../../user_guide/release_notes.md:107
msgid "Known Issue"
msgstr "已知问题"

#: ../../user_guide/release_notes.md:109
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。"

#: ../../user_guide/release_notes.md:110
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)"

#: ../../user_guide/release_notes.md:112
msgid "v0.7.3.post1 - 2025.05.29"
msgstr "v0.7.3.post1 - 2025.05.29"

#: ../../user_guide/release_notes.md:114
msgid ""
"This is the first post release of 0.7.3. Please follow the [official doc]"
"(https://vllm-ascend.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-ascend."
"readthedocs.io/en/v0.7.3-dev)开始使用。本次更新包括以下更改："

#: ../../user_guide/release_notes.md:118
msgid ""
"Qwen3 and Qwen3MOE is supported now. The performance and accuracy of Qwen3 "
"is well tested. You can try it now. Mindie Turbo is recommended to improve "
"the performance of Qwen3. [#903](https://github.com/vllm-project/vllm-"
"ascend/pull/903) [#915](https://github.com/vllm-project/vllm-ascend/"
"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-ascend/pull/903) [#915](https://github.com/vllm-project/"
"vllm-ascend/pull/915)"

#: ../../user_guide/release_notes.md:119
msgid ""
"Added a new performance guide. The guide aims to help users to improve vllm-"
"ascend performance on system level. It includes OS configuration, library "
"optimization, deploy guide and so on. [#878](https://github.com/vllm-"
"project/vllm-ascend/pull/878) [Doc Link](https://vllm-ascend.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-ascend 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-ascend/pull/878) [文档链接](https://vllm-ascend.readthedocs.io/"
"en/v0.7.3-dev/developer_guide/performance/optimization_and_tuning.html)"

#: ../../user_guide/release_notes.md:121
msgid "Bug Fix"
msgstr "漏洞修复"

#: ../../user_guide/release_notes.md:123
msgid ""
"Qwen2.5-VL  works for RLHF scenarios now. [#928](https://github.com/vllm-"
"project/vllm-ascend/pull/928)"
msgstr ""
"Qwen2.5-VL 现在已支持 RLHF 场景。[#928](https://github.com/vllm-project/"
"vllm-ascend/pull/928)"

#: ../../user_guide/release_notes.md:124
msgid ""
"Users can launch the model from online weights now. e.g. from huggingface "
"or modelscope directly [#858](https://github.com/vllm-project/vllm-ascend/"
"pull/858) [#918](https://github.com/vllm-project/vllm-ascend/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-ascend/"
"pull/858) [#918](https://github.com/vllm-project/vllm-ascend/pull/918)"

#: ../../user_guide/release_notes.md:125
msgid ""
"The meaningless log info `UserWorkspaceSize0` has been cleaned. [#911]"
"(https://github.com/vllm-project/vllm-ascend/pull/911)"
msgstr ""
"无意义的日志信息 `UserWorkspaceSize0` 已被清理。[#911](https://github.com/"
"vllm-project/vllm-ascend/pull/911)"

#: ../../user_guide/release_notes.md:126
msgid ""
"The log level for `Failed to import vllm_ascend_C` has been changed to "
"`warning` instead of `error`. [#956](https://github.com/vllm-project/vllm-"
"ascend/pull/956)"
msgstr ""
"`Failed to import vllm_ascend_C` 的日志级别已从 `error` 更改为 `warning`。"
"[#956](https://github.com/vllm-project/vllm-ascend/pull/956)"

#: ../../user_guide/release_notes.md:127
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-ascend/pull/849) [#936](https://"
"github.com/vllm-project/vllm-ascend/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-"
"ascend/pull/849) [#936](https://github.com/vllm-project/vllm-ascend/"
"pull/936)"

#: ../../user_guide/release_notes.md:129
msgid "Docs"
msgstr "文档"

#: ../../user_guide/release_notes.md:131
msgid ""
"The benchmark doc is updated for Qwen2.5 and Qwen2.5-VL [#792](https://"
"github.com/vllm-project/vllm-ascend/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-ascend/pull/792)"

#: ../../user_guide/release_notes.md:132
msgid ""
"Add the note to clear that only \"modelscope<1.23.0\" works with 0.7.3. "
"[#954](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/954)"

#: ../../user_guide/release_notes.md:134
msgid "v0.7.3 - 2025.05.08"
msgstr "v0.7.3 - 2025.05.08"

#: ../../user_guide/release_notes.md:136 ../../user_guide/release_notes.md:277
msgid "🎉 Hello, World!"
msgstr "🎉 你好，世界！"

#: ../../user_guide/release_notes.md:138
msgid ""
"We are excited to announce the release of 0.7.3 for vllm-ascend. 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-ascend.readthedocs.io/"
"en/v0.7.3-dev) to start the journey."
msgstr ""
"我们很高兴地宣布 vllm-ascend 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-ascend."
"readthedocs.io/en/v0.7.3-dev)开启您的体验之旅。"

#: ../../user_guide/release_notes.md:141
msgid ""
"This release includes all features landed in the previous release "
"candidates ([v0.7.1rc1](https://github.com/vllm-project/vllm-ascend/"
"releases/tag/v0.7.1rc1), [v0.7.3rc1](https://github.com/vllm-project/vllm-"
"ascend/releases/tag/v0.7.3rc1), [v0.7.3rc2](https://github.com/vllm-project/"
"vllm-ascend/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-ascend.readthedocs.io/en/v0.7.3-dev/user_guide/suppoted_features.html) "
"and [model](https://vllm-ascend.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-ascend/releases/tag/v0.7.1rc1)、[v0.7.3rc1](https://"
"github.com/vllm-project/vllm-ascend/releases/tag/v0.7.3rc1)、[v0.7.3rc2]"
"(https://github.com/vllm-project/vllm-ascend/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-"
"ascend.readthedocs.io/en/v0.7.3-dev/user_guide/suppoted_features.html)和[模"
"型](https://vllm-ascend.readthedocs.io/en/v0.7.3-dev/user_guide/"
"supported_models.html)支持矩阵。"

#: ../../user_guide/release_notes.md:142
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。"

#: ../../user_guide/release_notes.md:143
msgid ""
"Upgrade PyTorch to 2.5.1. vLLM Ascend no longer relies on the dev version "
"of torch-npu now. Now users don't need to install the torch-npu by hand. "
"The 2.5.1 version of torch-npu will be installed automatically. [#662]"
"(https://github.com/vllm-project/vllm-ascend/pull/662)"
msgstr ""
"升级 PyTorch 至 2.5.1。vLLM Ascend 现在不再依赖于 torch-npu 的开发版本。用户"
"现在无需手动安装 torch-npu，2.5.1 版本的 torch-npu 会被自动安装。[#662]"
"(https://github.com/vllm-project/vllm-ascend/pull/662)"

#: ../../user_guide/release_notes.md:144
msgid ""
"Integrate MindIE Turbo into vLLM Ascend to improve DeepSeek V3/R1, Qwen 2 "
"series performance. [#708](https://github.com/vllm-project/vllm-ascend/"
"pull/708)"
msgstr ""
"将 MindIE Turbo 集成到 vLLM Ascend 以提升 DeepSeek V3/R1、Qwen 2 系列的性"
"能。[#708](https://github.com/vllm-project/vllm-ascend/pull/708)"

#: ../../user_guide/release_notes.md:147
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-ascend/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-ascend/pull/700)"

#: ../../user_guide/release_notes.md:150
msgid ""
"The performance of Qwen2 vl and Qwen2.5 vl is improved. [#702](https://"
"github.com/vllm-project/vllm-ascend/pull/702)"
msgstr ""
"Qwen2 vl 和 Qwen2.5 vl 的性能得到了提升。 [#702](https://github.com/vllm-"
"project/vllm-ascend/pull/702)"

#: ../../user_guide/release_notes.md:151
msgid ""
"The performance of `apply_penalties` and `topKtopP` ops are improved. [#525]"
"(https://github.com/vllm-project/vllm-ascend/pull/525)"
msgstr ""
"`apply_penalties` 和 `topKtopP` 操作的性能得到了提升。 [#525](https://"
"github.com/vllm-project/vllm-ascend/pull/525)"

#: ../../user_guide/release_notes.md:154
msgid ""
"Fixed a issue that may lead CPU memory leak. [#691](https://github.com/vllm-"
"project/vllm-ascend/pull/691) [#712](https://github.com/vllm-project/vllm-"
"ascend/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-ascend/pull/691) [#712](https://github.com/vllm-project/vllm-ascend/"
"pull/712)"

#: ../../user_guide/release_notes.md:155
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-ascend/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-ascend/pull/606)"

#: ../../user_guide/release_notes.md:156
msgid ""
"openEuler container image supported with v0.7.3-openeuler tag. [#665]"
"(https://github.com/vllm-project/vllm-ascend/pull/665)"
msgstr ""
"openEuler 容器镜像已支持 v0.7.3-openeuler 标签。[#665](https://github.com/"
"vllm-project/vllm-ascend/pull/665)"

#: ../../user_guide/release_notes.md:157
msgid ""
"Prefix cache feature works on V1 engine now. [#559](https://github.com/vllm-"
"project/vllm-ascend/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-ascend/pull/559)"

#: ../../user_guide/release_notes.md:159
msgid "v0.8.5rc1 - 2025.05.06"
msgstr "v0.8.5rc1 - 2025.05.06"

#: ../../user_guide/release_notes.md:161
msgid ""
"This is the 1st release candidate of v0.8.5 for vllm-ascend. Please follow "
"the [official doc](https://vllm-ascend.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 Ascend in [here]"
"(https://vllm-ascend.readthedocs.io/en/latest/user_guide/support_matrix/"
"supported_features.html)."
msgstr ""
"这是 vllm-ascend v0.8.5 的第一个候选发布版本。请按照[官方文档](https://vllm-"
"ascend.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 Ascend 的特性支持情况，请参见[这里]"
"(https://vllm-ascend.readthedocs.io/en/latest/user_guide/support_matrix/"
"supported_features.html)。"

#: ../../user_guide/release_notes.md:164
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-ascend/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-"
"ascend/pull/747)"

#: ../../user_guide/release_notes.md:165
msgid ""
"Optimize Qwen2 VL and Qwen 2.5 VL [#701](https://github.com/vllm-project/"
"vllm-ascend/pull/701)"
msgstr ""
"优化 Qwen2 VL 和 Qwen 2.5 VL [#701](https://github.com/vllm-project/vllm-"
"ascend/pull/701)"

#: ../../user_guide/release_notes.md:166
#, python-brace-format
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-ascend/pull/598) [#719](https://"
"github.com/vllm-project/vllm-ascend/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-ascend/pull/598) [#719](https://github.com/"
"vllm-project/vllm-ascend/pull/719)"

#: ../../user_guide/release_notes.md:169
msgid ""
"Upgrade vLLM to 0.8.5.post1 [#715](https://github.com/vllm-project/vllm-"
"ascend/pull/715)"
msgstr ""
"将 vLLM 升级到 0.8.5.post1 [#715](https://github.com/vllm-project/vllm-"
"ascend/pull/715)"

#: ../../user_guide/release_notes.md:170
msgid ""
"Fix early return in CustomDeepseekV2MoE.forward during profile_run [#682]"
"(https://github.com/vllm-project/vllm-ascend/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-ascend/pull/682)"

#: ../../user_guide/release_notes.md:171
msgid ""
"Adapts for new quant model generated by modelslim [#719](https://github.com/"
"vllm-project/vllm-ascend/pull/719)"
msgstr ""
"适配由 modelslim 生成的新量化模型 [#719](https://github.com/vllm-project/"
"vllm-ascend/pull/719)"

#: ../../user_guide/release_notes.md:172
msgid ""
"Initial support on P2P Disaggregated Prefill based on llm_datadist [#694]"
"(https://github.com/vllm-project/vllm-ascend/pull/694)"
msgstr ""
"基于 llm_datadist 的 P2P 分布式 Prefill 初步支持 [#694](https://github.com/"
"vllm-project/vllm-ascend/pull/694)"

#: ../../user_guide/release_notes.md:173
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-ascend/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-"
"ascend/pull/726)"

#: ../../user_guide/release_notes.md:174
msgid ""
"Optimize NPU memory usage to make DeepSeek R1 W8A8 32K model len work. "
"[#728](https://github.com/vllm-project/vllm-ascend/pull/728)"
msgstr ""
"优化NPU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-ascend/pull/728)"

#: ../../user_guide/release_notes.md:175
msgid ""
"Fix `PYTHON_INCLUDE_PATH` typo in setup.py [#762](https://github.com/vllm-"
"project/vllm-ascend/pull/762)"
msgstr ""
"修复 setup.py 中的 `PYTHON_INCLUDE_PATH` 拼写错误 [#762](https://github.com/"
"vllm-project/vllm-ascend/pull/762)"

#: ../../user_guide/release_notes.md:178
msgid ""
"Add Qwen3-0.6B test [#717](https://github.com/vllm-project/vllm-ascend/"
"pull/717)"
msgstr ""
"添加 Qwen3-0.6B 测试 [#717](https://github.com/vllm-project/vllm-ascend/"
"pull/717)"

#: ../../user_guide/release_notes.md:179
msgid ""
"Add nightly CI [#668](https://github.com/vllm-project/vllm-ascend/pull/668)"
msgstr ""
"添加每晚持续集成 [#668](https://github.com/vllm-project/vllm-ascend/"
"pull/668)"

#: ../../user_guide/release_notes.md:180
msgid ""
"Add accuracy test report [#542](https://github.com/vllm-project/vllm-ascend/"
"pull/542)"
msgstr ""
"添加准确性测试报告 [#542](https://github.com/vllm-project/vllm-ascend/"
"pull/542)"

#: ../../user_guide/release_notes.md:182
msgid "v0.8.4rc2 - 2025.04.29"
msgstr "v0.8.4rc2 - 2025.04.29"

#: ../../user_guide/release_notes.md:184
msgid ""
"This is the second release candidate of v0.8.4 for vllm-ascend. Please "
"follow the [official doc](https://vllm-ascend.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-ascend 的 v0.8.4 第二个候选版本。请按照[官方文档](https://vllm-"
"ascend.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。"

#: ../../user_guide/release_notes.md:187
msgid ""
"Qwen3 and Qwen3MOE is supported now. Please follow the [official doc]"
"(https://vllm-ascend.readthedocs.io/en/latest/tutorials/single_npu.html) to "
"run the quick demo. [#709](https://github.com/vllm-project/vllm-ascend/"
"pull/709)"
msgstr ""
"现在已支持 Qwen3 和 Qwen3MOE。请按照[官方文档](https://vllm-ascend."
"readthedocs.io/en/latest/tutorials/single_npu.html)运行快速演示。[#709]"
"(https://github.com/vllm-project/vllm-ascend/pull/709)"

#: ../../user_guide/release_notes.md:188
msgid ""
"Ascend W8A8 quantization method is supported now. Please take the [official "
"doc](https://vllm-ascend.readthedocs.io/en/latest/tutorials/"
"multi_npu_quantization.html) for example. Any [feedback](https://github.com/"
"vllm-project/vllm-ascend/issues/619) is welcome. [#580](https://github.com/"
"vllm-project/vllm-ascend/pull/580)"
msgstr ""
"现在支持 Ascend W8A8 量化方法。请参考[官方文档](https://vllm-ascend."
"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-ascend/issues/619)。[#580]"
"(https://github.com/vllm-project/vllm-ascend/pull/580)"

#: ../../user_guide/release_notes.md:189
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-ascend/pull/429) [#585](https://github.com/"
"vllm-project/vllm-ascend/pull/585)  [#626](https://github.com/vllm-project/"
"vllm-ascend/pull/626) [#636](https://github.com/vllm-project/vllm-ascend/"
"pull/636) [#671](https://github.com/vllm-project/vllm-ascend/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-"
"ascend/pull/429) [#585](https://github.com/vllm-project/vllm-ascend/"
"pull/585) [#626](https://github.com/vllm-project/vllm-ascend/pull/626) "
"[#636](https://github.com/vllm-project/vllm-ascend/pull/636) [#671](https://"
"github.com/vllm-project/vllm-ascend/pull/671)"

#: ../../user_guide/release_notes.md:192
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-"
"ascend/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-ascend/pull/426)。"

#: ../../user_guide/release_notes.md:193
msgid ""
"Upgrade PyTorch to 2.5.1. vLLM Ascend no longer relies on the dev version "
"of torch-npu now. Now users don't need to install the torch-npu by hand. "
"The 2.5.1 version of torch-npu will be installed automatically. [#661]"
"(https://github.com/vllm-project/vllm-ascend/pull/661)"
msgstr ""
"升级 PyTorch 至 2.5.1。vLLM Ascend 现在不再依赖 dev 版本的 torch-npu，用户无"
"需手动安装 torch-npu。torch-npu 的 2.5.1 版本将会自动安装。[#661](https://"
"github.com/vllm-project/vllm-ascend/pull/661)"

#: ../../user_guide/release_notes.md:196
msgid ""
"MiniCPM model works now. [#645](https://github.com/vllm-project/vllm-ascend/"
"pull/645)"
msgstr ""
"MiniCPM 模型现在可以使用了。[#645](https://github.com/vllm-project/vllm-"
"ascend/pull/645)"

#: ../../user_guide/release_notes.md:197
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-ascend/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-ascend/"
"pull/689)"

#: ../../user_guide/release_notes.md:198
msgid ""
"Fix ModuleNotFoundError bug to make Lora work [#600](https://github.com/"
"vllm-project/vllm-ascend/pull/600)"
msgstr ""
"修复 ModuleNotFoundError 错误以使 Lora 正常工作 [#600](https://github.com/"
"vllm-project/vllm-ascend/pull/600)"

#: ../../user_guide/release_notes.md:199
msgid ""
"Add \"Using EvalScope evaluation\" doc [#611](https://github.com/vllm-"
"project/vllm-ascend/pull/611)"
msgstr ""
"添加了“使用 EvalScope 评估”文档 [#611](https://github.com/vllm-project/vllm-"
"ascend/pull/611)"

#: ../../user_guide/release_notes.md:200
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-ascend/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-ascend/pull/651)"

#: ../../user_guide/release_notes.md:202
msgid "v0.8.4rc1 - 2025.04.18"
msgstr "v0.8.4rc1 - 2025.04.18"

#: ../../user_guide/release_notes.md:204
msgid ""
"This is the first release candidate of v0.8.4 for vllm-ascend. Please "
"follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to start "
"the journey. From this version, vllm-ascend 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-ascend will release v0.8.5rc1 instead of "
"v0.8.4rc2. Please find the detail from the [official documentation](https://"
"vllm-ascend.readthedocs.io/en/latest/community/versioning_policy."
"html#release-window)."
msgstr ""
"这是 vllm-ascend v0.8.4 的第一个候选发布版本。请按照[官方文档](https://vllm-"
"ascend.readthedocs.io/en/)开始使用。本版本起，vllm-ascend 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-"
"ascend 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-ascend.readthedocs.io/en/latest/community/versioning_policy."
"html#release-window)。"

#: ../../user_guide/release_notes.md:208
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 forcibly."
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。"

#: ../../user_guide/release_notes.md:209
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-ascend/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-ascend/"
"pull/521)。"

#: ../../user_guide/release_notes.md:210
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-"
"ascend/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-ascend/pull/513)"

#: ../../user_guide/release_notes.md:214
msgid ""
"The Ascend scheduler is added for V1 engine. This scheduler is more "
"affinity with Ascend hardware. More scheduler policy will be added in the "
"future. [#543](https://github.com/vllm-project/vllm-ascend/pull/543)"
msgstr ""
"为V1引擎新增了Ascend调度器。该调度器与Ascend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-ascend/pull/543)"

#: ../../user_guide/release_notes.md:215
msgid ""
"Disaggregated Prefill feature is supported. Currently only 1P1D works. NPND "
"is under design by vllm team. vllm-ascend 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-ascend/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-ascend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-ascend/pull/432)"

#: ../../user_guide/release_notes.md:216
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-"
"ascend/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-ascend/pull/500)"

#: ../../user_guide/release_notes.md:217
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-ascend/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-ascend/"
"pull/555)"

#: ../../user_guide/release_notes.md:221
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-"
"ascend/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-ascend/pull/503)。"

#: ../../user_guide/release_notes.md:222
msgid ""
"The custom ops build is enabled by default. You should install the packages "
"like `gcc`, `cmake` first to build `vllm-ascend` 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-ascend/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-ascend`。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-ascend/pull/466)"

#: ../../user_guide/release_notes.md:223
msgid ""
"The custom op `rotay embedding` is enabled by default now to improve the "
"performance. [#555](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/555)"

#: ../../user_guide/release_notes.md:225
msgid "v0.7.3rc2 - 2025.03.29"
msgstr "v0.7.3rc2 - 2025.03.29"

#: ../../user_guide/release_notes.md:227
msgid ""
"This is 2nd release candidate of v0.7.3 for vllm-ascend. Please follow the "
"[official doc](https://vllm-ascend.readthedocs.io/en/v0.7.3-dev) to start "
"the journey."
msgstr ""
"这是 vllm-ascend v0.7.3 的第二个候选发布版本。请根据[官方文档](https://vllm-"
"ascend.readthedocs.io/en/v0.7.3-dev)开始使用。"

#: ../../user_guide/release_notes.md:228 ../../user_guide/release_notes.md:250
msgid ""
"Quickstart with container: https://vllm-ascend.readthedocs.io/en/v0.7.3-dev/"
"quick_start.html"
msgstr ""
"容器快速入门： https://vllm-ascend.readthedocs.io/en/v0.7.3-dev/quick_start."
"html"

#: ../../user_guide/release_notes.md:229 ../../user_guide/release_notes.md:251
msgid ""
"Installation: https://vllm-ascend.readthedocs.io/en/v0.7.3-dev/installation."
"html"
msgstr ""
"安装: https://vllm-ascend.readthedocs.io/en/v0.7.3-dev/installation.html"

#: ../../user_guide/release_notes.md:232
msgid ""
"Add Ascend Custom Ops framework. Developers now can write customs ops using "
"AscendC. An example ops `rotary_embedding` is added. More tutorials will "
"come soon. The Custom Ops compilation is disabled by default when "
"installing vllm-ascend. Set `COMPILE_CUSTOM_KERNELS=1` to enable it.  [#371]"
"(https://github.com/vllm-project/vllm-ascend/pull/371)"
msgstr ""
"新增了Ascend自定义算子框架。开发者现在可以使用AscendC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-ascend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-ascend/pull/371)"

#: ../../user_guide/release_notes.md:233
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-ascend/"
"issues/414). [#376](https://github.com/vllm-project/vllm-ascend/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-ascend/issues/414)告诉我们。[#376](https://github.com/vllm-project/"
"vllm-ascend/pull/376)"

#: ../../user_guide/release_notes.md:234
msgid ""
"Prefix cache feature works now. You can set `enable_prefix_caching=True` to "
"enable it. [#282](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/282)"

#: ../../user_guide/release_notes.md:237
msgid ""
"Bump torch_npu version to dev20250320.3 to improve accuracy to fix `!!!` "
"output problem. [#406](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/406)"

#: ../../user_guide/release_notes.md:240
msgid ""
"The performance of Qwen2-vl is improved by optimizing patch embedding "
"(Conv3D). [#398](https://github.com/vllm-project/vllm-ascend/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-ascend/pull/398)"

#: ../../user_guide/release_notes.md:244
msgid ""
"Fixed a bug to make sure multi step scheduler feature work. [#349](https://"
"github.com/vllm-project/vllm-ascend/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-ascend/pull/349)"

#: ../../user_guide/release_notes.md:245
msgid ""
"Fixed a bug to make prefix cache feature works with correct accuracy. [#424]"
"(https://github.com/vllm-project/vllm-ascend/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-ascend/pull/424)"

#: ../../user_guide/release_notes.md:247
msgid "v0.7.3rc1 - 2025.03.14"
msgstr "v0.7.3rc1 - 2025.03.14"

#: ../../user_guide/release_notes.md:249
msgid ""
"🎉 Hello, World! This is the first release candidate of v0.7.3 for vllm-"
"ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/"
"en/v0.7.3-dev) to start the journey."
msgstr ""
"🎉 你好，世界！这是 vllm-ascend v0.7.3 的第一个候选发布版本。请按照[官方文"
"档](https://vllm-ascend.readthedocs.io/en/v0.7.3-dev)开始你的旅程。"

#: ../../user_guide/release_notes.md:254
msgid ""
"DeepSeek V3/R1 works well now. Read the [official guide](https://vllm-"
"ascend.readthedocs.io/en/v0.7.3-dev/tutorials/multi_node.html) to start! "
"[#242](https://github.com/vllm-project/vllm-ascend/pull/242)"
msgstr ""
"DeepSeek V3/R1 现在运行良好。请阅读[官方指南](https://vllm-ascend."
"readthedocs.io/en/v0.7.3-dev/tutorials/multi_node.html)开始！[#242](https://"
"github.com/vllm-project/vllm-ascend/pull/242)"

#: ../../user_guide/release_notes.md:255
msgid ""
"Speculative decoding feature is supported. [#252](https://github.com/vllm-"
"project/vllm-ascend/pull/252)"
msgstr ""
"已支持猜测性解码功能。[#252](https://github.com/vllm-project/vllm-ascend/"
"pull/252)"

#: ../../user_guide/release_notes.md:256
msgid ""
"Multi step scheduler feature is supported. [#300](https://github.com/vllm-"
"project/vllm-ascend/pull/300)"
msgstr ""
"已支持多步调度器功能。[#300](https://github.com/vllm-project/vllm-ascend/"
"pull/300)"

#: ../../user_guide/release_notes.md:259
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"

#: ../../user_guide/release_notes.md:260
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-ascend/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-ascend/pull/229)"

#: ../../user_guide/release_notes.md:263
msgid ""
"The performance of Qwen2-VL is improved. [#241](https://github.com/vllm-"
"project/vllm-ascend/pull/241)"
msgstr ""
"Qwen2-VL 的性能得到了提升。[#241](https://github.com/vllm-project/vllm-"
"ascend/pull/241)"

#: ../../user_guide/release_notes.md:264
msgid ""
"MiniCPM is now supported [#164](https://github.com/vllm-project/vllm-ascend/"
"pull/164)"
msgstr ""
"MiniCPM 现在已被支持 [#164](https://github.com/vllm-project/vllm-ascend/"
"pull/164)"

#: ../../user_guide/release_notes.md:267
msgid ""
"Support MTP(Multi-Token Prediction) for DeepSeek V3/R1 [#236](https://"
"github.com/vllm-project/vllm-ascend/pull/236)"
msgstr ""
"为 DeepSeek V3/R1 支持 MTP（多标记预测） [#236](https://github.com/vllm-"
"project/vllm-ascend/pull/236)"

#: ../../user_guide/release_notes.md:268
msgid ""
"[Docs] Added more model tutorials, include DeepSeek, QwQ, Qwen and Qwen "
"2.5VL. See the [official doc](https://vllm-ascend.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-ascend.readthedocs.io/en/v0.7.3-dev/tutorials/"
"index.html)。"

#: ../../user_guide/release_notes.md:269
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"

#: ../../user_guide/release_notes.md:271 ../../user_guide/release_notes.md:302
msgid "Known issues"
msgstr "已知问题"

#: ../../user_guide/release_notes.md:272
msgid ""
"In [some cases](https://github.com/vllm-project/vllm-ascend/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-ascend/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。"

#: ../../user_guide/release_notes.md:273
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 known issue shown below. Any "
"[feedback](https://github.com/vllm-project/vllm-ascend/issues/267) is "
"welcome. [#277](https://github.com/vllm-project/vllm-ascend/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-ascend/issues/267)。[#277]"
"(https://github.com/vllm-project/vllm-ascend/pull/277)"

#: ../../user_guide/release_notes.md:275
msgid "v0.7.1rc1 - 2025.02.19"
msgstr "v0.7.1rc1 - 2025.02.19"

#: ../../user_guide/release_notes.md:279
msgid ""
"We are excited to announce the first release candidate of v0.7.1 for vllm-"
"ascend."
msgstr "我们很高兴地宣布 vllm-ascend v0.7.1 的第一个候选版本发布。"

#: ../../user_guide/release_notes.md:281
msgid ""
"vLLM Ascend Plugin (vllm-ascend) is a community maintained hardware plugin "
"for running vLLM on the Ascend NPU. With this release, users can now enjoy "
"the latest features and improvements of 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。通过此版本，用户现在可以在 Ascend NPU 上享受到 vLLM 的最新"
"功能和改进。"

#: ../../user_guide/release_notes.md:283
msgid ""
"Please follow the [official doc](https://vllm-ascend.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-ascend/issues/19)"
msgstr ""
"请参阅[官方文档](https://vllm-ascend.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-ascend/issues/19)提交反馈和建"
"议。"

#: ../../user_guide/release_notes.md:287
msgid ""
"Initial supports for Ascend NPU on vLLM. [#3](https://github.com/vllm-"
"project/vllm-ascend/pull/3)"
msgstr ""
"在 vLLM 上初步支持 Ascend NPU。[#3](https://github.com/vllm-project/vllm-"
"ascend/pull/3)"

#: ../../user_guide/release_notes.md:288
msgid ""
"DeepSeek is now supported. [#88](https://github.com/vllm-project/vllm-"
"ascend/pull/88) [#68](https://github.com/vllm-project/vllm-ascend/pull/68)"
msgstr ""
"现在已支持 DeepSeek。 [#88](https://github.com/vllm-project/vllm-ascend/"
"pull/88) [#68](https://github.com/vllm-project/vllm-ascend/pull/68)"

#: ../../user_guide/release_notes.md:289
msgid ""
"Qwen, Llama series and other popular models are also supported, you can see "
"more details in [here](https://vllm-ascend.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-"
"ascend.readthedocs.io/en/latest/user_guide/supported_models.html)。"

#: ../../user_guide/release_notes.md:293
msgid ""
"Added the Ascend quantization config option, the implementation will coming "
"soon. [#7](https://github.com/vllm-project/vllm-ascend/pull/7) [#73]"
"(https://github.com/vllm-project/vllm-ascend/pull/73)"
msgstr ""
"新增了 Ascend 量化配置选项，具体实现即将推出。[#7](https://github.com/vllm-"
"project/vllm-ascend/pull/7) [#73](https://github.com/vllm-project/vllm-"
"ascend/pull/73)"

#: ../../user_guide/release_notes.md:294
msgid ""
"Add silu_and_mul and rope ops and add mix ops into attention layer. [#18]"
"(https://github.com/vllm-project/vllm-ascend/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-ascend/pull/18)"

#: ../../user_guide/release_notes.md:298
msgid ""
"[CI] Enable Ascend CI to actively monitor and improve quality for vLLM on "
"Ascend. [#3](https://github.com/vllm-project/vllm-ascend/pull/3)"
msgstr ""
"[CI] 启用 Ascend CI，主动监测并提升 vLLM 在 Ascend 上的质量。[#3](https://"
"github.com/vllm-project/vllm-ascend/pull/3)"

#: ../../user_guide/release_notes.md:299
msgid ""
"[Docker] Add vllm-ascend container image [#64](https://github.com/vllm-"
"project/vllm-ascend/pull/64)"
msgstr ""
"[Docker] 添加 vllm-ascend 容器镜像 [#64](https://github.com/vllm-project/"
"vllm-ascend/pull/64)"

#: ../../user_guide/release_notes.md:300
msgid ""
"[Docs] Add a [live doc](https://vllm-ascend.readthedocs.org) [#55](https://"
"github.com/vllm-project/vllm-ascend/pull/55)"
msgstr ""
"[文档] 添加了一个 [在线文档](https://vllm-ascend.readthedocs.org) [#55]"
"(https://github.com/vllm-project/vllm-ascend/pull/55)"

#: ../../user_guide/release_notes.md:304
msgid ""
"This release relies on an unreleased torch_npu version. It has been "
"installed within official container image already. Please [install](https://"
"vllm-ascend.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-ascend.readthedocs.io/en/"
"v0.7.1rc1/installation.html)。"

#: ../../user_guide/release_notes.md:305
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-"
"ascend. 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-ascend 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。"

#: ../../user_guide/release_notes.md:306
msgid ""
"There are logs like `# CPU blocks: 35064, # CPU blocks: 2730` shown when "
"running vllm-ascend which should be `# NPU 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-ascend 时，会显示类似 `# CPU blocks: 35064, # CPU blocks: 2730` "
"的日志，实际应该为 `# NPU 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。"
