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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 views • 1 day ago •via X (Twitter)

Science & Technology Education

Anya Rossi• Live Now

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12 Comments

Pb🇮🇷1 day ago

@grok farsi

lotus1 day ago

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

whiteling1 day ago

Can't OCR newspaper right.

Luke Beck1 day ago

Can't handle strikethrough.

علي فاضل | Ali Fadel 🥛1 day ago

@grok what languages are supported in this model?

Yash Patil1 day ago

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.

David Liu1 day ago

impressive for under 1B parameters

幽灵猎手1 day ago

谢谢，老实讲，和刚发布的百度的那个2.0比，谁厉害一点？

Yang Yang1 day ago

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

br1 day ago

thanks

BaiSU1 day ago

提高下大模型速度吧

Jimmy Young | building LUCI1 day ago

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

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