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Merged
merged 6 commits into from
Oct 31, 2025
Merged

master->dev #3905

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9ede336
Merge pull request #3895 from opendatalab/dev
myhloli Oct 31, 2025
3bc44c8
Merge pull request #3898 from opendatalab/dev
myhloli Oct 31, 2025
a33715c
Merge pull request #3887 from opendatalab/release-2.6.3
myhloli Oct 31, 2025
2c355d2
Merge pull request #3899 from myhloli/dev
myhloli Oct 31, 2025
374ace0
Merge pull request #3900 from opendatalab/release-2.6.3
myhloli Oct 31, 2025
1ebc1ae
Update version.py with new version
myhloli Oct 31, 2025
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -684,7 +684,7 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing

<sup>1</sup> Accuracy metric is the End-to-End Evaluation Overall score of OmniDocBench (v1.5), tested on the latest `MinerU` version.
<sup>2</sup> Linux supports only distributions released in 2019 or later.
<sup>3</sup> MLX requires macOS 13.5 or later, recommended for use with version 14.0 or higher.
<sup>3</sup> MLX requires macOS 13.5 or later, recommended for use with version 14.0 or higher.
<sup>4</sup> Windows vLLM support via WSL2(Windows Subsystem for Linux).
<sup>5</sup> Servers compatible with the OpenAI API, such as local or remote model services deployed via inference frameworks like `vLLM`, `SGLang`, or `LMDeploy`.

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4 changes: 2 additions & 2 deletions README_zh-CN.md
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Expand Up @@ -670,8 +670,8 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
</table>

<sup>1</sup> 精度指标为OmniDocBench (v1.5)的End-to-End Evaluation Overall分数，基于`MinerU`最新版本测试
<sup>2</sup> Linux仅支持2019年及以后发行版
<sup>3</sup> MLX需macOS 13.5及以上版本支持，推荐14.0以上版本使用
<sup>2</sup> Linux仅支持2019年及以后发行版
<sup>3</sup> MLX需macOS 13.5及以上版本支持，推荐14.0以上版本使用
<sup>4</sup> Windows vLLM通过WSL2(适用于 Linux 的 Windows 子系统)实现支持
<sup>5</sup> 兼容OpenAI API的服务器，如通过`vLLM`/`SGLang`/`LMDeploy`等推理框架部署的本地模型服务器或远程模型服务

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2 changes: 1 addition & 1 deletion mineru/version.py
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@@ -1 +1 @@
__version__ = "2.6.2"
__version__ = "2.6.3"