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humanizer

jialinyyzz

**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, and it runs locally. **Quick start:** get the app for **Mac (Apple silicon)** or **Windows**, open it and paste a draft; it works offline. Without the app: llama.cpp and other runtimes, or AGENTS.md for coding agents. Drafts from the held-out evaluation set. For each we generated 8 samples with the Q8_0 file (llama.cpp, the app's settings) and picked the one that reads best among those the fact judge passed; it is shown unedited, and all 8 samples are on GitHub. These are picks: across the whole set the judge flagged 44 of the 420 English rewrites, 135 problems in all, 125 of them a single word or phrase. Read the result before you send it, especially numbers, dates and names. Results over the whole set are below.

Text generation

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humanizer-GGUF

jialinyyzz

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.

Text generation

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Qwen3.8-27B-DSpark-drafter

jialinyyzz

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation

Input Text→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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humanizer

humanizer-GGUF

Qwen3.8-27B-DSpark-drafter

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