MiniCPM-OCR 1.0 发布，配套 Jev 版给识别结果打 0–1 分
OpenBMB 开源 1.3B 文档识别模型 MiniCPM-OCR 1.0，在四项文档基准上平均分领先；同时发布 MiniCPM-OCR Jev，对每条结果打 0 到 1 分，只需人工复核低分部分。
you can now pull clean text from a messy phone photo of any document with a 1.3B model OpenBMB just dropped MiniCPM-OCR 1.0, a small open model that reads documents, tables, formulas and charts: > it tops the average score across four document benchmarks, including 93.68 on Real5-OmniDocBench > and it's the fastest on the chart: about 1.49× the throughput of PaddleOCR-VL-1.6 and 3.62× of MinerU2.5 Pro > MiniCPM-OCR Jev scores every result from 0 to 1, so you only check the parts that look off tiny models are getting scary good Hugging Face: MiniCPM-OCR 1.0: https://huggingface.co/openbmb/MiniCPM-OCR-1.0 MiniCPM-OCR Jev: https://huggingface.co/openbmb/MiniCPM-OCR-Jev GitHub: https://github.com/OpenBMB/MiniCPM-OCR @OpenBMB
这条是引用着另一条写的：「MiniCPM-OCR 套件：1B 解析模型 + 2B Jev 校验模型」