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humanizer-GGUF

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, trained to keep every number, date, name and quote. The 2-bit, Q3 and Q4_K_M files are quantization-aware trained and distilled from bf16, so they stay closer to the full model than standard quantizations of the same size. **Quick start:** the desktop app (Mac, Windows) downloads these files for you; or `hf download jialinyyzz/humanizer-GGUF humanizer-12b-Q8_0.gguf prompt_format.json` and see Usage. **95% judged human by Originality.ai** at its strictest setting (210 English drafts, bf16 weights, 2026-10-02): 11 of 210 rewrites were flagged as AI, against 26 for the previous release, and no AI detector was used anywhere in training. On the same 60 drafts, the 2-bit file here had **0 of 60** flagged (Q8_0 7, bf16 4); per-file results are under Quality on the task. **376 of 420 English rewrites came back with no factual problem** from a strict LLM judge, measured on the Q8_0 file here (210 drafts, two samples each); where it did find one, more than 9 in 10 fixes are a single word or phrase. Full results: main model card.

翻訳準備中のため原文を表示しています

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, trained to keep every number, date, name and quote. The 2-bit, Q3 and Q4_K_M files are quantization-aware trained and distilled from bf16, so they stay closer to the full model than standard quantizations of the same size. **Quick start:** the desktop app (Mac, Windows) downloads these files for you; or `hf download jialinyyzz/humanizer-GGUF humanizer-12b-Q8_0.gguf prompt_format.json` and see Usage. **95% judged human by Originality.ai** at its strictest setting (210 English drafts, bf16 weights, 2026-10-02): 11 of 210 rewrites were flagged as AI, against 26 for the previous release, and no AI detector was used anywhere in training. On the same 60 drafts, the 2-bit file here had **0 of 60** flagged (Q8_0 7, bf16 4); per-file results are under Quality on the task. **376 of 420 English rewrites came back with no factual problem** from a strict LLM judge, measured on the Q8_0 file here (210 drafts, two samples each); where it did find one, more than 9 in 10 fixes are a single word or phrase. Full results: main model card.

情報源

huggingface.co ↗