Qwen3-0.6B fine-tuned to give a scanned document a short, useful name from the text the phone's OCR reads. It is the naming model of Anascan, an on-device document scanner: the app downloads this file once, checks its size and SHA-256, and runs it with llama.cpp on the phone. No document data leaves the phone. Input: the app's chat prompt (below) with the naming evidence it builds from OCR (headings, issuer, dates and distinct lines, at most 600 characters), thinking disabled. Output: one name in the document's language, 3–8 words, saying what the document is and who issued it or what it is about. The app checks every name on the phone (grounded in the document's words, no numbers the…
Independent publisher
Ernesto
erponce
Models in Library1
Datasets in Library0
Models on Hugging Face2
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