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Releases: sgaofen/humanizer-local-model

Humanizer app 0.3.4

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@github-actions github-actions released this 11 Oct 11:38

humanizer rewrites AI-written drafts so they read like a person wrote them, keeping every number, name, date and quote. 12B model, runs entirely on your computer. Apache 2.0.

What changed in 0.3.4

  • Long drafts. A draft too long for one pass is now rewritten in sections, with progress shown. You can stop, close the app and pick up where it left off; finished sections are kept. Download the result as one text file. Thanks @meharrkapoorr (#5).
  • Use your own model server. In … → External model service, point the app at an OpenAI-compatible server such as LM Studio or llama-server (http://localhost:1234/v1). The built-in engine then stays off. Create fact, the language check and long drafts still work, and the API key is stored only on your computer. (HF discussion #11)
  • Put the app and the model on any drive. Choose the run folder and the models folder in … → Change storage location, and optionally move the model there. Uninstalling removes only Humanizer's own files from folders you picked. Thanks @DongyuAI (#9).
  • Fixes. Stop now works while the draft is being read, and a stalled engine shows a message instead of hanging (thanks @meharrkapoorr, #7). The Copy button shows right away whether it worked (#6). hz finds a ready app even when another app instance isn't ready (#10). Phone-width layout fixes.

0.3.4 改了什么

  • 长文。 一次放不下的长稿会自动分段改写,显示进度。可以中途停止、关掉 App,下次接着改,已完成的段落保留。结果可下载成一个文本文件。感谢 @meharrkapoorr(#5)。
  • 接你自己的模型服务。 在 … → 外部模型服务 里填 LM Studio、llama-server 等 OpenAI 兼容地址(如 http://localhost:1234/v1),App 就不再启动自带引擎。原样保留、语言检查、长文分段照常可用,API key 只存在本机。(HF 讨论 #11)
  • App 和模型可以放任意盘。 在 … → 更改存储位置 里选运行目录和模型目录,可一并搬移模型。卸载时只删 Humanizer 自己的文件。感谢 @DongyuAI(#9)。
  • 修复。 读取草稿时也能停止,引擎卡住会提示而不是一直转(感谢 @meharrkapoorr,#7);复制按钮立即显示成功或失败(#6);hz 在有多个 App 时也能找到已就绪的那个(#10);手机宽度排版修正。

Download

Your computer File
Mac with Apple silicon (M1 or newer) Humanizer-0.3.4-macos-arm64.dmg
Windows x64 Humanizer-0.3.4-windows-x64-setup.exe (installer) or Humanizer-0.3.4-windows-x64-portable.zip

From 0.3.2, … → Check for updates installs this in one click. Updating keeps your model, settings and history. The app is not code-signed yet; the one-time first-launch fix is in docs/INSTALL.md. Checksums: SHA256SUMS.txt.

Humanizer app 0.3.3

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@github-actions github-actions released this 10 Oct 18:43

humanizer rewrites AI-written drafts so they read like a person wrote them, keeping every number, name, date and quote. 12B model, runs entirely on your computer. Apache 2.0.

What changed in 0.3.3

  • Edit the draft after a rewrite. The draft no longer turns into a read-only view once the rewrite is done. Change it, add more facts and press Rewrite again; no need to click Clear or Back to editing first. What the rewrite cut is still struck through in the draft until you edit it.
  • See what is kept. Passages you marked with Create fact are highlighted in the draft and in the rewrite, and the footer shows how many were kept. Click a fact in the bar under the draft to jump to it.
  • Easier to find. Whenever the draft has text, a one-line hint under it explains Create fact: select a name, number, quote or term and click Create fact, and it comes back word for word.

0.3.3 改了什么

  • 改写完草稿还能直接改。 改写后草稿不再变成只读,可以直接改原文、再加「原样保留」、再点改写,不用先点「清空」或「回到编辑」。被改掉的部分仍会以删除线标在草稿里,一改草稿就自动消失。
  • 看得见保留了哪些。 用「原样保留」标出的文字,在草稿和改写结果里都标浅蓝底,底栏显示保留了几段;点草稿下方的标签会跳到那段文字。
  • 更容易发现。 草稿有字时,下面常驻一行提示:选中名字、数字、引文或术语,点「原样保留」,改写时一字不改。

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Your computer File
Mac with Apple silicon (M1 or newer) Humanizer-0.3.3-macos-arm64.dmg
Windows x64 Humanizer-0.3.3-windows-x64-setup.exe (installer) or Humanizer-0.3.3-windows-x64-portable.zip

From 0.3.2, … → Check for updates installs this in one click. Updating keeps your model, settings and history. The app is not code-signed yet; the one-time first-launch fix is in docs/INSTALL.md. Checksums: SHA256SUMS.txt.

humanizer 0.3.2: import .docx and PDF, Create fact, check for updates (macOS · Windows)

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@github-actions github-actions released this 07 Oct 19:26

humanizer rewrites AI-written drafts so they read like a person wrote them, keeping every number, name, date and quote. 12B model, runs entirely on your computer. Apache 2.0.

What's new in 0.3.2

  • Import .docx and PDF. Click Import next to Paste, or drop a file on the draft. The text is read on your computer and loaded into the draft (formatting is dropped). Chinese PDFs printed from Chrome, Word paragraphs and tables, and hard-wrapped PDF lines come out as clean paragraphs. Long drafts show a short note: long documents may drift on facts, so check the result or ask an AI to fix the spots it got wrong.
  • Create fact. Select a passage in the draft and click Create fact: the rewrite keeps it word for word. Behind the scenes the passage is swapped for a placeholder the model copies through, then put back. If the model changes or drops it, the app rewrites again automatically (up to 3 tries) and never shows a version with the passage changed. In our test on 32 English and Chinese drafts (64 rewrites, 130 marked passages, from names and dates to whole sentences), every marked passage came back word for word on the first try.
  • Check for updates. … → Check for updates shows what changed and updates the app or a newer model file in one click; the app also checks once a day (you can turn that off). Your model, settings and history stay. This starts with 0.3.2, so updating from 0.3.1 or earlier is one last manual install.

Import and Create fact were contributed by @meharrkapoorr (#2, #3). Thank you!

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Your computer File
Mac with Apple silicon (M1 or newer) Humanizer-0.3.2-macos-arm64.dmg
Windows x64 Humanizer-0.3.2-windows-x64-setup.exe (installer) or Humanizer-0.3.2-windows-x64-portable.zip

Updating keeps your model, settings and history. The app is not code-signed yet; the one-time first-launch fix is in docs/INSTALL.md. Checksums: SHA256SUMS.txt.

humanizer 0.3.1: fix English drafts occasionally rewritten in Chinese (macOS · Windows)

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@github-actions github-actions released this 07 Oct 02:56

humanizer rewrites AI-written drafts so they read like a person wrote them, keeping every number, name, date and quote. 12B model, runs entirely on your computer. Apache 2.0.

What changed in 0.3.1

  • Fixed: an English draft occasionally came back rewritten in Chinese (on short, informal English drafts with technical jargon). The app now checks the language of each rewrite and, if it is wrong, samples again automatically.

Download

Your computer File
Mac with Apple silicon (M1 or newer) Humanizer-0.3.1-macos-arm64.dmg
Windows x64 Humanizer-0.3.1-windows-x64-setup.exe (installer) or Humanizer-0.3.1-windows-x64-portable.zip

Updating keeps your model and settings. The app is not code-signed yet; the one-time first-launch fix is in docs/INSTALL.md. Checksums: SHA256SUMS.txt.

humanizer 0.3.0: Q3 and 2-bit sizes, quality notes for every size (macOS · Windows)

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@github-actions github-actions released this 06 Oct 05:32

humanizer rewrites AI-written drafts so they read like a person wrote them, keeping every number, name, date and quote. 12B model, runs entirely on your computer. Apache 2.0.

What changed in 0.3.0

  • Two new, smaller sizes: Q3 (5.6 GB) and 2-bit (3.9 GB). The 12B model now runs on 8 GB machines.
  • Every size shows a quality note on the size picker:
Size Download Mac memory in use Quality Picked for
Q8_0 12.7 GB about 14 GB Best 32 GB or more
Q6_K 10.0 GB about 11 GB No measurable loss 16 GB
Q4_K_M 7.6 GB about 10 GB Slight loss about 14 GB
Q3 5.6 GB about 8 GB Small loss; a few more fact slips in English 12 GB
2-bit 3.9 GB about 6.2 GB Lowest AI-detector score; a few more fact slips 8 GB

Memory is the model server's peak while rewriting, measured on an Apple M5 Max (Q6_K estimated). The app recommends the largest size that leaves about 4 GB for the system and your browser. With Q3 and 2-bit, check numbers, dates and names before you send.

  • Changing sizes: open the ⋯ menu at the top right → Change model size, pick one and click Download (or Use if it is already downloaded). Your current model stays in the models folder; nothing is deleted. Updating from 0.2.0 keeps the size you already use.

Download

Your computer File
Mac with Apple silicon (M1 or newer) Humanizer-0.3.0-macos-arm64.dmg
Windows x64 Humanizer-0.3.0-windows-x64-setup.exe (installer) or Humanizer-0.3.0-windows-x64-portable.zip

On first launch the app checks your memory and downloads the model once from Hugging Face. After that it works offline; your text never leaves your machine.

First launch warning. The app is not code-signed yet.

  • macOS: System Settings → Privacy & Security → Open Anyway (or run xattr -dr com.apple.quarantine /Applications/Humanizer.app).
  • Windows: SmartScreen → More info → Run anyway.

Details: docs/INSTALL.md. Quality of each file in depth: humanizer-GGUF. Without the app: docs/USAGE.md.

Checksums: SHA256SUMS.txt.


humanizer 把 AI 写的草稿改写成读起来像人写的,数字、人名、日期、引语一个不丢。12B 模型,完全在你自己的电脑上运行,Apache 2.0。

0.3.0 改了什么

  • 新增两个更小的档位:Q3(5.6 GB)和 2-bit(3.9 GB),8 GB 内存的电脑也能跑 12B。
  • 每个档位都标了质量:Q8_0 最好;Q6_K 测不出损失;Q4_K_M 略有损失;Q3 小幅损失,英文的事实小错略多;2-bit AI 检测表现最好,事实小错多一些。App 按内存推荐:32 GB 及以上 Q8_0,16 GB Q6_K,14 GB 左右 Q4_K_M,12 GB Q3,8 GB 2-bit。用 Q3 和 2-bit 时,发出去前核对数字、日期和人名。
  • 换档:右上角「⋯」菜单 →「更换模型档位」,选好后点「下载」(已下过的点「使用」)。原来的模型文件不会删;从 0.2.0 升级会沿用你现在的档位。

下载:Mac(Apple 芯片)用 .dmg;Windows 用 setup.exe 安装包或免安装 portable.zip。应用暂未签名,首次打开被拦的处理见安装文档。

humanizer 0.2.0: three 12B sizes, Lite retired (macOS · Windows)

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@github-actions github-actions released this 05 Oct 04:15

humanizer rewrites AI-written drafts so they read like a person wrote them, keeping every number, name, date and quote. 12B model, runs entirely on your computer. Apache 2.0.

What changed in 0.2.0

  • Model sizes are now the three 12B files. 32 GB of memory or more: Q8_0 (12.7 GB). 16 GB: Q6_K (10.0 GB). Less than that: Q4_K_M (7.6 GB). The smaller, older Lite model is no longer offered.
  • Under about 12 GB of memory the setup page says the 12B may not fit. You can still try.
  • If you used Lite before: the setup page tells you it was retired and preselects Q4_K_M. Your old Lite file stays in the models folder; nothing is deleted.

Download

Your computer File
Mac with Apple silicon (M1 or newer) Humanizer-0.2.0-macos-arm64.dmg
Windows x64 Humanizer-0.2.0-windows-x64-setup.exe (installer) or Humanizer-0.2.0-windows-x64-portable.zip

On first launch the app checks your memory and downloads the model once from Hugging Face. After that it works offline; your text never leaves your machine.

First launch warning. The app is not code-signed yet.

  • macOS: right-click Humanizer.app → Open, or System Settings → Privacy & Security → Open Anyway.
  • Windows: SmartScreen → More info → Run anyway.

Details: docs/INSTALL.md. Without the app (llama.cpp, MLX, transformers, vLLM, Ollama, LM Studio): docs/USAGE.md. Results and raw data: README, eval/.

Checksums: SHA256SUMS.txt.


humanizer 把 AI 写的草稿改写成读起来像人写的,数字、人名、日期、引语一个不丢。12B 模型,完全在你自己的电脑上运行,Apache 2.0。

0.2.0 改了什么

  • 模型档位只剩三个 12B 文件:32 GB 及以上内存用 Q8_0(12.7 GB),16 GB 用 Q6_K(10.0 GB),更少用 Q4_K_M(7.6 GB)。更早、更小的 Lite 模型不再提供。
  • 内存不到 12 GB 左右时,选档页会提示 12B 可能装不下,仍然可以试。
  • 以前用 Lite 的:选档页会说明 Lite 已下线,并默认选好 Q4_K_M。旧的 Lite 文件留在模型文件夹里,不会删。

下载:Mac(Apple 芯片)用 .dmg;Windows 用 setup.exe 安装包或免安装 portable.zip。首次打开按内存下载一次模型,之后完全离线,文字不出你的电脑。应用暂未签名,首次打开被拦的处理见安装文档。

humanizer 0.1.0: local 12B rewriter app (macOS · Windows)

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@github-actions github-actions released this 02 Oct 05:39

humanizer rewrites AI-written drafts so they read like a person wrote them, keeping every number, name, date and quote. 12B model, runs entirely on your computer. Apache 2.0.

Download

Your computer File
Mac with Apple silicon (M1 or newer) Humanizer-0.1.0-macos-arm64.dmg
Windows x64 Humanizer-0.1.0-windows-x64-setup.exe (installer) or Humanizer-0.1.0-windows-x64-portable.zip

On first launch the app checks your memory and downloads the model once from Hugging Face: Q8_0 (12.7 GB) for 32 GB or more, Q6_K (10.0 GB) for 16 GB, the lite model (6.2 GB) for 8 GB. After that it works offline; your text never leaves your machine.

First launch warning. The app is not code-signed yet.

  • macOS: right-click Humanizer.app → Open, or System Settings → Privacy & Security → Open Anyway.
  • Windows: SmartScreen → More info → Run anyway.

Details: docs/INSTALL.md.

Without the app

llama.cpp, MLX, transformers, vLLM, Ollama and LM Studio: docs/USAGE.md. Setting it up with an AI agent: AGENTS.md.

Measured (own 312-draft eval set, 2026-10-02; model v2)

The app downloads the model by file name from Hugging Face, so a new install gets the current model (v2, updated 2026-10-02). Installed it before that? Quit the app, delete the .gguf file in models/ inside its data folder (macOS ~/Library/Application Support/Humanizer, Windows %LOCALAPPDATA%\Humanizer) and open it again; it downloads the new file. Details: INSTALL.md FAQ.

  • Originality.ai, strictest setting (AI Allowance 0%), bf16 weights: 199 of 210 English rewrites judged human-written (95%). The most popular open-source humanizer skill, on the same 60 drafts: 0 of 60 (this release: 56 of 60).
  • Fact fidelity (strict LLM judge, measured on the Q8_0 file): 376 of 420 English rewrites came back with no factual problem; where there was one, more than 9 in 10 fixes are a single word or phrase. Chinese is still catching up (149 of 204). Read numbers, dates and names before you send.
  • Raw data: eval/. One measurement on one date; detectors change.

Checksums: SHA256SUMS.txt.


humanizer 把 AI 写的草稿改写成读起来像人写的,数字、人名、日期、引语一个不丢。12B 模型,完全在你自己的电脑上运行,Apache 2.0。

  • 下载:Mac(Apple 芯片)用 .dmg;Windows 用 setup.exe 安装包或免安装 portable.zip。首次打开按内存自动下载模型(32G 以上 Q8_0 12.7G、16G 用 Q6_K 10.0G、8G 用 lite 6.2G),之后完全离线,文字不出你的电脑。
  • 首次打开被拦:应用暂未签名。Mac 右键「打开」,或「系统设置 → 隐私与安全性 → 仍要打开」;Windows 在 SmartScreen 点「更多信息 → 仍要运行」。详见 安装文档。
  • 不用 App:见 不用 App 怎么用。
  • 模型已更新为 v2(2026-10-02):App 按文件名从 Hugging Face 下载模型,新装的直接拿到新版;之前装过的,先退出 App,删掉数据目录 models/ 里的 .gguf 文件(Mac 在 ~/Library/Application Support/Humanizer,Windows 在 %LOCALAPPDATA%\Humanizer),再打开 App 就会重新下载。详见 安装文档常见问题。
  • 实测(自建 312 篇评测集,2026-10-02,v2):Originality.ai 最严档,bf16 权重,210 篇英文 95% 判为人写;同一批 60 篇,最火的开源去 AI 味 skill 0/60(本版 56/60)。事实忠实度(从严的 LLM 判官,测的是 Q8_0 文件):英文 420 篇里 376 篇没挑出事实问题,有问题的 9 成以上改一个词或短语就好;中文还在追赶英文(204 篇里 149 篇)。发出前请读一遍,重点看数字、日期、人名。原始数据在 eval/。