TextText analysis

Humanizer

A 12B model that rewrites drafts written by AI so that they read like a person wrote them: emails, essays, reports, forum posts. It is trained to keep every number, unit, date, name and quote and to add nothing. It runs on your own computer; there is a ready app for Mac and Windows that works offline, and GGUF files of different compression for llama.cpp. Stated languages: English and Chinese, Russian is not stated. By the author's measurements, the Originality.ai detector judged 95% of the English rewrites human. The result still has to be read through, especially numbers and names.

Developer: jialinyyzz (sgaofen), not stated
First release: Sep 2026
Latest release: Oct 2026
Sizes: 12B
License: Commercial use allowedApache 2.0 (a fine-tune of Gemma 4 12B)
Russian: Not supported
Running: On your own serverAlso runs without a GPU
Industries: Marketing and content, Media and production

Deploy on your server Hugging Face GitHub

What it does

rewriting drafts of emails and reports so that they sound more natural
editing texts after AI without losing numbers, dates and quotes
local processing of texts that must not be sent to the cloud

Where it is used

marketing and contenteducationoffice correspondence

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions

fits

1 GPUOne GPU with 16–80 GB — mid-size versions

fits

ClusterServer with several GPUs — flagship versions

no versions

Versions

Oct 2026Humanizer 12B GGUF (от 2-bit до Q8_0)
Sep 2026Humanizer 12B (bf16)

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face

How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can Humanizer be used in a commercial project?

Yes. License: Apache 2.0 (a fine-tune of Gemma 4 12B). It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Humanizer need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Humanizer support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download Humanizer and what does it cost?

The Humanizer weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

SelectionI pick the model size for your task and hardware and test it on your examples.
DeploymentI deploy it on your server or in a closed network and provide an API.
Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Compact Google models that run well on a single computer; larger versions understand images. Includes CodeGemma for code, FunctionGemma 270M for function calling and the fast DiffusionGemma.

Details TextQwenAlibaba · ChinaCommercial use with conditions

A family of language models with strong Russian language support, from small versions for a laptop to a flagship on par with commercial APIs.

Details

Source: huggingface.co/jialinyyzz/humanizer. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.