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fix: update Python version support details for Windows and clarify dependency limitations

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myhloli
2025-11-19 20:08:50 +08:00
parent 33696974fe
commit e7c80da602
4 changed files with 13 additions and 7 deletions
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5
README.md
View File

@@ -684,7 +684,7 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing
</tr>
<tr>
<th>Python Version</th>
<td colspan="6" style="text-align:center;">3.10-3.13</td>
<td colspan="6" style="text-align:center;">3.10-3.13<sup>7</sup></td>
</tr>
</tbody>
</table>
@@ -694,7 +694,8 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing
<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> Windows LMDeploy can only use the `turbomind` backend, which is slightly slower than the `pytorch` backend. If performance is critical, it is recommended to run it via WSL2.
<sup>6</sup> Servers compatible with the OpenAI API, such as local or remote model services deployed via inference frameworks like `vLLM`, `SGLang`, or `LMDeploy`.
<sup>6</sup> Servers compatible with the OpenAI API, such as local or remote model services deployed via inference frameworks like `vLLM`, `SGLang`, or `LMDeploy`.
<sup>7</sup> Windows + LMDeploy only supports Python versions 3.10–3.12, as the critical dependency `ray` does not yet support Python 3.13 on Windows.
### Install MinerU

5
README_zh-CN.md
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@@ -671,7 +671,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
</tr>
<tr>
<th>python版本</th>
<td colspan="6" style="text-align:center;">3.10-3.13</td>
<td colspan="6" style="text-align:center;">3.10-3.13<sup>7</sup></td>
</tr>
</tbody>
</table>
@@ -681,7 +681,8 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
<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> Windows LMDeploy只能使用`turbomind`后端，速度比`pytorch`后端稍慢，如对速度有要求建议通过WSL2运行
<sup>6</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
<sup>6</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
<sup>7</sup> Windows + LMDeploy 由于关键依赖`ray`未能在windows平台支持Python 3.13，故仅支持至3.10~3.12版本
> [!TIP]
> 除以上主流环境与平台外，我们也收录了一些社区用户反馈的其他平台支持情况，详情请参考[其他加速卡适配](https://opendatalab.github.io/MinerU/zh/usage/)。

6
docs/en/quick_start/index.md
View File

@@ -83,7 +83,7 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing
</tr>
<tr>
<th>Python Version</th>
<td colspan="6" style="text-align:center;">3.10-3.13</td>
<td colspan="6" style="text-align:center;">3.10-3.13<sup>7</sup></td>
</tr>
</tbody>
</table>
@@ -93,7 +93,9 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing
<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> Windows LMDeploy can only use the `turbomind` backend, which is slightly slower than the `pytorch` backend. If performance is critical, it is recommended to run it via WSL2.
<sup>6</sup> Servers compatible with the OpenAI API, such as local or remote model services deployed via inference frameworks like `vLLM`, `SGLang`, or `LMDeploy`.
<sup>6</sup> Servers compatible with the OpenAI API, such as local or remote model services deployed via inference frameworks like `vLLM`, `SGLang`, or `LMDeploy`.
<sup>7</sup> Windows + LMDeploy only supports Python versions 3.10–3.12, as the critical dependency `ray` does not yet support Python 3.13 on Windows.
### Install MinerU

4
docs/zh/quick_start/index.md
View File

@@ -83,7 +83,7 @@
</tr>
<tr>
<th>python版本</th>
<td colspan="6" style="text-align:center;">3.10-3.13</td>
<td colspan="6" style="text-align:center;">3.10-3.13<sup>7</sup></td>
</tr>
</tbody>
</table>
@@ -94,6 +94,8 @@
<sup>4</sup> Windows vLLM通过WSL2(适用于 Linux 的 Windows 子系统)实现支持
<sup>5</sup> Windows LMDeploy只能使用`turbomind`后端，速度比`pytorch`后端稍慢，如对速度有要求建议通过WSL2运行
<sup>6</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
<sup>7</sup> Windows + LMDeploy 由于关键依赖`ray`未能在windows平台支持Python 3.13，故仅支持至3.10~3.12版本
> [!TIP]
> 除以上主流环境与平台外，我们也收录了一些社区用户反馈的其他平台支持情况，详情请参考[其他加速卡适配](https://opendatalab.github.io/MinerU/zh/usage/)。