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What you can do with Humanizer Local Model

A 12B local model that rewrites AI-written drafts so they read like a person wrote them, keeping numbers, names, dates and quotes, and running on your own computer.

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sgaofen/humanizer-local-model on GitHub

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Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

What do you want to do?

4 use cases

  • Rewrite an AI-drafted email offline before sending it

    Paste an AI-written email into a local app and get a version that reads like a person wrote it.

    View prompt
    Using the sgaofen/humanizer-local-model repo, install the app for this machine and rewrite the email draft at <path-to-draft.txt> with the app. Expected output: the rewritten email text. Verify that every number, date and name in the draft also appears unchanged in the rewrite.

  • Rewrite a long Markdown or Word document in one command

    Use the hz command line tool to rewrite a whole article or .docx while keeping its structure.

    View prompt
    Using the sgaofen/humanizer-local-model repo, install the hz tool with pipx and run `hz <input-file> -o <output-file>` on the target document. Expected output: a rewritten file with structure preserved. Verify that the stderr report lists no lost or added numbers, or that each listed piece has been checked by hand.

  • Rewrite a report while keeping chosen quotes word for word

    Import a Word or PDF report and mark the passages that must stay exactly as written.

    View prompt
    Using the sgaofen/humanizer-local-model repo app, import <path-to-report.docx> and mark the passages listed in <passages.txt> with Create fact before rewriting. Expected output: a rewritten report in which each marked passage appears word for word. Verify that each marked passage is highlighted in the rewrite and matches the original exactly.

  • Let a coding agent batch-rewrite drafts through a local server

    Run the 12B model as a local llama-server and have an agent send each draft to it.

    View prompt
    Using the sgaofen/humanizer-local-model repo, start llama-server with the Q8_0 GGUF on port 8080 and rewrite every .txt file in <input-folder> through the /completion endpoint with the prompt format from prompt_format.json. Expected output: one rewritten .txt per input file in <output-folder>. Verify that a single test draft returns non-empty text from the .content field before running the whole folder.

How to use Humanizer Local Model

  1. Check you have what it needs: A Mac with Apple silicon (M1 or newer) or a Windows x64 PC, for the app; Enough free disk space and memory for the model; the app suggests a size for your machine, down to 8 GB machines; Python 3.8 or newer for the hz command line tool.
  2. Open sgaofen/humanizer-local-model on GitHub and read the README and license.
  3. Download the app for your computer from the Quick start section: the Mac (Apple silicon) .dmg or the Windows x64 setup .exe.
  4. Open the app. Expect a first-launch warning, since the app is not code-signed yet; the one-time fix is in docs/INSTALL.md.
  5. Let the app download the suggested model size once from Hugging Face. After that it works offline.
  6. Paste the email draft on the left. Read the rewrite on the right.

These steps come from our top use case, Rewrite an AI-drafted email offline before sending it, which also has a copy-paste agent prompt.

Humanizer Local Model alternatives · Best AI repos for Work and operations

About this repo

Requirements

  • A Mac with Apple silicon (M1 or newer) or a Windows x64 PC, for the app
  • Enough free disk space and memory for the model; the app suggests a size for your machine, down to 8 GB machines
  • Python 3.8 or newer for the hz command line tool
  • llama.cpp (llama-server), curl and jq for the one-command server route
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Questions about Humanizer Local Model

What is Humanizer Local Model?

A 12B local model that rewrites AI-written drafts so they read like a person wrote them, keeping numbers, names, dates and quotes, and running on your own computer. It is an open-source project on GitHub: https://github.com/sgaofen/humanizer-local-model.

Who is Humanizer Local Model for?

Writers, office staff, researchers and developers who have an AI-written draft they need to rework and want the text to stay on their own machine.

What can I do with Humanizer Local Model?

4 use cases so far, for example: Rewrite an AI-drafted email offline before sending it; Rewrite a long Markdown or Word document in one command; Rewrite a report while keeping chosen quotes word for word. Each has steps and a copy-paste agent prompt.

What do I need to run Humanizer Local Model?

A Mac with Apple silicon (M1 or newer) or a Windows x64 PC, for the app; Enough free disk space and memory for the model; the app suggests a size for your machine, down to 8 GB machines; Python 3.8 or newer for the hz command line tool; llama.cpp (llama-server), curl and jq for the one-command server route.

What are alternatives to Humanizer Local Model?

Other hot AI repos in Work and operations: AI Job Search, Solidcraft, Fastbrowse, Awesome AI Agent Platforms, Nautilo.

Is Humanizer Local Model safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.