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gohumanize-open-humanizer

PyPI Model on Hugging Face DOI License: Apache 2.0

Python client and CLI for the GoHumanize Open Humanizer, an open Qwen3-4B fine-tune (Apache-2.0) that rewrites AI-styled English text into more natural human prose. Trained on 2,000 pairs built from public-domain books.

pip install gohumanize-open-humanizer
open-humanizer "It is worth noting that the committee reached a consensus."
from gohumanize_open_humanizer import Humanizer

# Your own copy of the model, which needs no key:
#   ollama pull hf.co/gohumanize/gohumanize-open-humanizer:Q4_K_M
h = Humanizer(base_url="http://localhost:11434/v1",
              model="hf.co/gohumanize/gohumanize-open-humanizer:Q4_K_M")
print(h.humanize("It is worth noting that the committee reached a consensus."))

# Humanizer() with no arguments points at the endpoint behind the browser demo,
# which is rate-limited and needs OPEN_HUMANIZER_API_KEY. To try the model without
# installing anything, use the demo at https://gohumanize.ai/research

Environment variables OPEN_HUMANIZER_URL, OPEN_HUMANIZER_MODEL and OPEN_HUMANIZER_API_KEY set the same options. No dependencies beyond the standard library.

The model is an educational release: it is separate from the production models of GoHumanize.ai and makes no claim about AI detectors.

Resource Link
Project page and browser demo gohumanize.ai/research
Model weights, LoRA adapter, GGUF builds gohumanize/gohumanize-open-humanizer
Dataset, 2,200 pairs (CC-BY 4.0) gohumanize/gohumanize-open-humanizer-dataset
Code and full pipeline GoHumanize-ai/gohumanize-open-humanizer
Write-up: every step, service and result docs/paper.md
Archived release, citable DOI 10.5281/zenodo.22843083
Python client and CLI pypi.org/project/gohumanize-open-humanizer
MCP server for AI assistants npm · source
Training run, loss curves and config Weights & Biases

Release files for gohumanize-open-humanizer 0.1.2

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