Xiaomi-OCR-0 is a compact 0.8B OCR-specialized vision-language model based on Qwen3.5-0.8B-Base, designed for unified document parsing and OCR-centric understanding. It is trained on an approximately 170M-sample OCR-focused corpus using Q-Mask text anchoring, continued pretraining, and mixed-task reinforcement learning, enabling document parsing, OCR-based visual question answering, and key information extraction. The model is designed to handle standard, scanned, warped, photographed, and skewed documents, while also supporting structured outputs such as Markdown, OTSL tables, LaTeX formulas, and JSON-based information extraction.
Xiaomi-OCR-0
on Hugging Face —
https://huggingface.co/SeerRay-Lab/Xiaomi-OCR-0
.