Skip to main content

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 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gohumanize-open-humanizer 0.1.1
File Size Uploaded
gohumanize_open_humanizer-0.1.1.tar.gz 4.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gohumanize-open-humanizer 0.1.1
File Interpreter ABI Platform
gohumanize_open_humanizer-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size:9.6 kB

Release files / gohumanize_open_humanizer-0.1.1.tar.gz

Download URL gohumanize_open_humanizer-0.1.1.tar.gz
Size 4.5 kB
Tags Source
SHA-256 checksum
How to use checksums
1627bee77dc7cfd5ac96c9ef7933d145ac9f317d6a4a9d9f09b5fdb37791f289
BLAKE2b-256 checksum
How to use checksums
3fbdebcc7a5c53a81c714b484048e466d091003a92b82ebfbe1d678b52e21cc1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.5

Release files / gohumanize_open_humanizer-0.1.1-py3-none-any.whl

Download URL gohumanize_open_humanizer-0.1.1-py3-none-any.whl
Size 5.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2581256ff723671d8adc5d8d399be5ea79b7be1ece983a0095ccaca728f02568
BLAKE2b-256 checksum
How to use checksums
96f74e2e0d0ad95e7846f7f5a122626da5217576739fbaf4cf27f4e7c73c7da5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.5

Release history Release notifications | RSS feed

0.1.2

2 release files

This release

0.1.1 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page