Stephen Yu

A 12B model that rewrites AI-written drafts (emails, essays, reports, forum posts; English and Chinese) so they read like a person wrote them. It is trained to keep every number, unit, date, name and quote, and to add nothing. It runs locally. No AI detector was used anywhere in training. App: download the.dmg (Mac with Apple silicon) or the Windows installer from Releases (current: app 0.3.1). On first run it suggests one of five sizes for your memory (Q80, Q6K, Q4KM, Q3 or 2-bit, down to 8 GB machines; app 0.3.0 and later) and downloads it once; after that it works offline. Sizes and quality notes: Quantized versions. Command line, for long documents and agents: pipx install…

GGUF files of jialinyyzz/humanizer (v2), a 12B model that rewrites AI-written drafts in English and Chinese so they read like a person wrote them, while keeping every number, date, name and quote. This page is about the quantized files only: what each one costs in quality, and how they were made. For the model itself (training, full results, examples), see the main model card and GitHub. The files here are byte-for-byte the same as the GGUF files in the main repository; download from either. promptformat.json (tiny) holds the instruction and separator verbatim; you need it unless you use the chat template (see Usage). ¹ Peak resident memory of llama-server (llama.cpp, Metal) on an Apple M5…