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Fix formatting in changelog sections of README.md and README_zh-CN.md for improved readability
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# Changelog
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- 2025/09/20 2.5.3 Released
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- Dependency version range adjustment to enable Turing and earlier architecture GPUs to use vLLM acceleration for MinerU2.5 model inference.
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- Pipeline backend compatibility fixes for torch 2.8.0.
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- Reduced default concurrency for vLLM async backend to lower server pressure and avoid connection closure issues caused by high load.
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- More compatibility-related details can be found in the [announcement](https://github.com/opendatalab/MinerU/discussions/3548)
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- Dependency version range adjustment to enable Turing and earlier architecture GPUs to use vLLM acceleration for MinerU2.5 model inference.
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- Pipeline backend compatibility fixes for torch 2.8.0.
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- Reduced default concurrency for vLLM async backend to lower server pressure and avoid connection closure issues caused by high load.
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- More compatibility-related details can be found in the [announcement](https://github.com/opendatalab/MinerU/discussions/3548)
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- 2025/09/19 2.5.2 Released
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@@ -44,10 +44,10 @@
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# 更新记录
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- 2025/09/20 2.5.3 发布
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- 依赖版本范围调整,使得Turing及更早架构显卡可以使用vLLM加速推理MinerU2.5模型。
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- pipeline后端对torch 2.8.0的一些兼容性修复。
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- 降低vLLM异步后端默认的并发数,降低服务端压力以避免高压导致的链接关闭问题。
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- 更多兼容性相关内容详见[公告](https://github.com/opendatalab/MinerU/discussions/3547)
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- 依赖版本范围调整,使得Turing及更早架构显卡可以使用vLLM加速推理MinerU2.5模型。
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- pipeline后端对torch 2.8.0的一些兼容性修复。
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- 降低vLLM异步后端默认的并发数,降低服务端压力以避免高压导致的链接关闭问题。
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- 更多兼容性相关内容详见[公告](https://github.com/opendatalab/MinerU/discussions/3547)
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- 2025/09/19 2.5.2 发布
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我们正式发布 MinerU2.5,当前最强文档解析多模态大模型。仅凭 1.2B 参数,MinerU2.5 在 OmniDocBench 文档解析评测中,精度已全面超越 Gemini2.5-Pro、GPT-4o、Qwen2.5-VL-72B等顶级多模态大模型,并显著领先于主流文档解析专用模型(如 dots.ocr, MonkeyOCR, PP-StructureV3 等)。
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