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From recognizing text to understanding documents. 📄 Meet Xiaomi-OCR-0, an open-source document understanding model with just 0.8B parameters. It brings document parsing, key information extraction, and OCR-oriented visual question answering into one lightweight model. It scores 95.24 on Real5-OmniDocBench and 83.2 on average across five OCR-oriented VQA benchmarks. On... show more

Xiaomi Tech

4,787 subscribers

144,136 Aufrufe • vor 1 Tag •via X (Twitter)

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12 Kommentare

Profilbild von Pb🇮🇷

Pb🇮🇷vor 1 Tag

@grok farsi

Profilbild von lotus

lotusvor 1 Tag

You guys are giving closed source companies a hard time 😄😄

Profilbild von whiteling

whitelingvor 1 Tag

Can't OCR newspaper right.

Profilbild von Luke Beck

Luke Beckvor 1 Tag

Can't handle strikethrough.

Profilbild von علي فاضل | Ali Fadel 🥛

علي فاضل | Ali Fadel 🥛vor 1 Tag

@grok what languages are supported in this model?

Profilbild von Yash Patil

Yash Patilvor 1 Tag

Shipping an MCP server and an agent skill with the weights is a smart move. Most small OCR models stop at a demo, and wiring them into an agent is the annoying part. Handwritten math to LaTeX at 0.8B is impressive.

Profilbild von David Liu

David Liuvor 1 Tag

impressive for under 1B parameters

Profilbild von 幽灵猎手

幽灵猎手vor 1 Tag

谢谢，老实讲，和刚发布的百度的那个2.0比，谁厉害一点？

Profilbild von Yang Yang

Yang Yangvor 1 Tag

@grok 这个模型部署在mac studio上可以吗，需要多大内存的配置？

Profilbild von br

brvor 1 Tag

thanks

Profilbild von BaiSU

BaiSUvor 1 Tag

提高下大模型速度吧

Profilbild von Jimmy Young | building LUCI

Jimmy Young | building LUCIvor 1 Tag

Shipping the MCP server and agent skill with a 0.8B parser means agents can just call it locally.

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