GoHumanize Open Humanizer

io.github.GoHumanize-ai由 GitHub 账号 GoHumanize-ai 发布v0.1.12更新于 Oct 25, 2026

Rewrite AI-styled text into natural writing with a fine-tune model.

已验证STDIO仅桌面媒体与设计AI 与机器学习

概览

AI 生成的概览

本地 MCP 服务器,让助手用开源的 GoHumanize Humanizer 模型把 AI 风格的英文改写成更自然的文字。

可以做什么
  • 把一段英文改写成更自然、更像人写的文字,50 到 400 词效果最好,最长 1,500 词按段落处理
  • 每次调用请求多份改写,保留改动最大且长度合理的那一份
  • 查询该模型是什么以及当前使用的是哪个端点
适用场景
适合需要助手润色生硬、机器味重的英文草稿,或想通过 OpenAI 兼容端点在本机运行一个小型开源改写模型的场景。
运行要求
通过 npx 在本地运行(需要 Node.js)。需要一个 OpenAI 兼容端点:自托管的模型(如用 Ollama 加载已发布的 GGUF 版本),或需要 OPEN_HUMANIZER_API_KEY 的托管演示端点。可选变量:OPEN_HUMANIZER_URL、OPEN_HUMANIZER_MODEL、OPEN_HUMANIZER_SAMPLES。仅支持桌面客户端。
安装前请注意
默认的托管端点有速率限制、空闲时会休眠,并需要 OPEN_HUMANIZER_API_KEY;首次请求可能耗时一到两分钟,在超时 60 秒的客户端里可能失败。提交的文本会发送到所配置的端点,使用托管端点即意味着把文本交给第三方。该模型定位为教学用途,不对 AI 检测作任何承诺。

安装

在 SourceWeft 中

  1. 打开 控制台中的 GoHumanize Open Humanizer,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

GoHumanize Open Humanizer MCP server

[npm] [Model on Hugging Face] [DOI] [License: Apache 2.0]

An MCP (Model Context Protocol) server that lets AI assistants call the GoHumanize Open Humanizer: a small open model (Qwen3-4B fine-tune, Apache-2.0) that rewrites AI-styled English text into more natural human prose.

Tools:

  • humanize_text rewrite a passage (50 to 400 words works best; longer texts are processed paragraph by paragraph, up to 1,500 words).
  • about_open_humanizer what the model is and which endpoint is in use.

The model is educational and makes no claim about AI detectors. It is separate from the production models used by GoHumanize.ai.

Several rewrites, best one returned

On modern prose the model sometimes plays safe and hands the text back almost unchanged (about one try in six). Each call asks the endpoint for five rewrites (generated in parallel, so the wait is the same) and keeps the one that moved furthest from the input while staying a sensible length. Set OPEN_HUMANIZER_SAMPLES=1 for a single request.

Links

ResourceLink
Project page and browser demogohumanize.ai/open-model
GoHumanize (the product this research comes from)gohumanize.ai
Model weights and GGUF buildsgohumanize/gohumanize-open-humanizer
Dataset, 2,883 pairs (CC-BY 4.0)gohumanize/gohumanize-open-humanizer-dataset
Dataset on Kagglegohumanize/gohumanize-open-humanizer-dataset
Code and full pipelineGoHumanize-ai/gohumanize-open-humanizer
Write-up: every step, service and resultdocs/paper.md
Archived release, citable DOI10.5281/zenodo.22843083
Python client and CLIpypi.org/project/gohumanize-open-humanizer
MCP server for AI assistantsnpm · source
Training runs, loss curves and configWeights & Biases

Use

json
{  "mcpServers": {    "gohumanize-open-humanizer": {      "command": "npx",      "args": ["-y", "gohumanize-open-humanizer-mcp"]    }  }}

Which endpoint

The model runs wherever you point the server. Running it yourself needs no key and is the recommended setup:

bash
ollama pull hf.co/gohumanize/gohumanize-open-humanizer:Q4_K_Mexport OPEN_HUMANIZER_URL=http://localhost:11434/v1export OPEN_HUMANIZER_MODEL=hf.co/gohumanize/gohumanize-open-humanizer:Q4_K_M

The hosted endpoint sleeps when idle. The first request after a quiet period waits for a GPU cold start, measured at one to two minutes; afterwards a rewrite takes a second or two. MCP clients apply their own timeout, often 60 seconds, so the first call through a client may fail even with a valid key and succeed on retry. Running the model locally avoids this entirely.

The endpoint the server falls back to is the one behind the browser demo on gohumanize.ai/open-model. It is rate-limited and requires OPEN_HUMANIZER_API_KEY, so it is not open for general use; to try the model without installing anything, use the demo on that page.

Any OpenAI-compatible server works:

json
"env": {  "OPEN_HUMANIZER_URL": "http://localhost:11434/v1",  "OPEN_HUMANIZER_MODEL": "gohumanize/open-humanizer"}

OPEN_HUMANIZER_API_KEY sets a bearer token when the endpoint needs one.

Licence

Apache-2.0.

来源:README.md,提交 5caeb64

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.12最新Sep 26, 2026

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