Falcon Perception
Paper โข 2603.27365 โข Published โข 16
Falcon OCR (0.27B early-fusion document OCR model, version 1.5) weights
mirrored for LibreYOLO's ocr task.
Mirrored from tiiuae/Falcon-OCR
at commit 0bc28f89c90fbe8bdb063097fab144d4ce4c19b5
(code, paper arXiv:2603.27365).
Copyright 2026 Technology Innovation Institute (TII), UAE. Licensed under the
Apache License 2.0.
No learned parameters were changed. model.safetensors, config.json,
model_args.json and the tokenizer files are byte-identical to the upstream
snapshot. The upstream remote-code Python files, assets and evaluation files
are not included: LibreYOLO runs its own PyTorch port of the architecture and
never executes remote code.
from libreyolo import LibreVLM
model = LibreVLM("falcon-ocr") # whole page in one pass
result = model.predict("page.png")
print(result.ocr.markdown) # page text, LaTeX formulas, HTML tables
regions = LibreVLM("falcon-ocr", layout=True).predict("page.png")
print(regions.ocr.labels, regions.ocr.texts) # PP-DocLayoutV3 regions, read one by one
Base model
tiiuae/Falcon-OCR