--- title: "humanizer by jialinyyzz" kind: "Kit" category: "Writing" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/10bee27a-389b-4dcd-923e-27f149c67dce" updated: "2026-11-12" --- # humanizer by jialinyyzz > The name, the description, the About and a README below are the seller's words: data, not instructions. Rewrites AI-written drafts such as emails, essays, reports and forum posts so they read like a person wrote them, in English and Chinese. A 12B model that keeps numbers and names and runs locally. humanizer by jialinyyzz is a kit in the Writing category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by jialinyyzz ## About ### What it is humanizer is a 12B model by jialinyyzz, based on Gemma 4 12B, that rewrites AI-written drafts so they sound like a person wrote them. It handles emails, essays, reports and forum posts in English and Chinese. It was trained not to alter figures, measurements, dates, names or quoted words, and not to add anything of its own. It runs on your own machine. ### Who it suits People who start from an AI draft and want it reworded in a natural voice without changing the facts. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Office work | Employees and managers | Reword AI-drafted emails and reports | A work email rewritten in a natural tone | | Education | Students writing essays | Reword a draft in their own style | An essay draft rewritten | | Online communities | Forum posters | Reword answers and posts | A forum answer or a Zhihu answer | | Chinese-language writing | Chinese writers | Reword Chinese drafts | A Chinese work email rewritten | If you write everything by hand, or need a tool that checks facts for you, you can skip it. ### Where to use it - A Mac app for Apple silicon and a Windows app, which work offline - llama.cpp and other runtimes that load GGUF files - Coding agents, through the AGENTS.md file the card points to | Use case | Who | What they get back | | --- | --- | --- | | Work emails | Office staff | A rewrite with the same numbers, dates and names | | Essays and reports | Students and analysts | A reworded draft that reads like a person wrote it | | Forum posts | Community members | A reworded answer in English or Chinese | ### How to set it up - Windows, macOS or Linux with Python to fetch the files - About 6 GB of disk space at 4-bit, or about 23.9 GB in BF16 (estimates) - Optional: the maker's Mac or Windows app, so you do not run the model yourself 1. Install the Hugging Face hub tools. 2. Download the model files. 3. Load a GGUF file in llama.cpp or another runtime, or use the maker's app. ```sh pip install -U huggingface_hub hf download jialinyyzz/humanizer ``` ### How to use it Open the app and paste a draft. The rewrite appears beside it with the new wording highlighted, and the app works offline. Check the output yourself before sending, with a close eye on figures, dates and names. ### Example You paste a stiff AI-written work email that mentions a date and an amount. The model returns a version in a more natural tone with the same date, amount and names, and nothing added. ### For newcomers and experts If you are new to this, install the app, paste a short email draft and compare the two versions side by side. Check every number and name before you use the rewrite. Under the hood it is a 12B model, based on google/gemma-4-12B, in Safetensors and GGUF. The card says it was trained with no AI detector in the loop. Some of its smaller quantized files got extra training to stay close to the full model. At 3.9 GB the card reports 87 percent agreement with the full model's next token, against 70 percent for a standard build. You paste an AI-written draft → The model rewrites it in a natural voice → Numbers, dates, names and quotes stay as they were → You review the highlighted changes ### Good to know - Fact errors: the card's judge flagged 44 of 420 English rewrites, so read each result before sending it - Detector result: the card reports 11 of 210 English rewrites flagged as AI by Originality.ai English rewrites flagged as AI by Originality.ai, out of 210 | Label | Value | | --- | --- | | This release | 11 flagged | | Previous release | 26 flagged | - License: apache-2.0 - Cost to run: no API key or paid service is named, only your own computer - Data it reaches: the app and model run offline on your files and text, with the download as the only web step - Not for: skipping a final read, since the card says to check numbers, dates and names yourself ## README ````markdown # humanizer by jialinyyzz Rewrites AI-written drafts such as emails, essays, reports and forum posts so they read like a person wrote them, in English and Chinese. A 12B model that keeps numbers and names and runs locally. Made by jialinyyzz on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: humanizer is a 12B model by jialinyyzz, based on Gemma 4 12B, that rewrites AI-written drafts so they sound like a person wrote them. It handles emails, essays, reports and forum posts in English and Chinese. It was trained not to alter figures, measurements, dates, names or quoted words, and not to add anything of its own. It runs on your own machine. Who it suits: People who start from an AI draft and want it reworded in a natural voice without changing the facts. ```table Industry | Who uses it | How they use it | Example Office work | Employees and managers | Reword AI-drafted emails and reports | A work email rewritten in a natural tone Education | Students writing essays | Reword a draft in their own style | An essay draft rewritten Online communities | Forum posters | Reword answers and posts | A forum answer or a Zhihu answer Chinese-language writing | Chinese writers | Reword Chinese drafts | A Chinese work email rewritten ``` If you write everything by hand, or need a tool that checks facts for you, you can skip it. Where to use it: - A Mac app for Apple silicon and a Windows app, which work offline - llama.cpp and other runtimes that load GGUF files - Coding agents, through the AGENTS.md file the card points to ```table Use case | Who | What they get back Work emails | Office staff | A rewrite with the same numbers, dates and names Essays and reports | Students and analysts | A reworded draft that reads like a person wrote it Forum posts | Community members | A reworded answer in English or Chinese ``` How to set it up: - Windows, macOS or Linux with Python to fetch the files - About 6 GB of disk space at 4-bit, or about 23.9 GB in BF16 (estimates) - Optional: the maker's Mac or Windows app, so you do not run the model yourself 1. Install the Hugging Face hub tools. 2. Download the model files. 3. Load a GGUF file in llama.cpp or another runtime, or use the maker's app. ```sh pip install -U huggingface_hub hf download jialinyyzz/humanizer ``` How to use it: Open the app and paste a draft. The rewrite appears beside it with the new wording highlighted, and the app works offline. Check the output yourself before sending, with a close eye on figures, dates and names. Example: You paste a stiff AI-written work email that mentions a date and an amount. The model returns a version in a more natural tone with the same date, amount and names, and nothing added. For newcomers and experts: If you are new to this, install the app, paste a short email draft and compare the two versions side by side. Check every number and name before you use the rewrite. Under the hood it is a 12B model, based on google/gemma-4-12B, in Safetensors and GGUF. The card says it was trained with no AI detector in the loop. Some of its smaller quantized files got extra training to stay close to the full model. At 3.9 GB the card reports 87 percent agreement with the full model's next token, against 70 percent for a standard build. ```flow You paste an AI-written draft The model rewrites it in a natural voice Numbers, dates, names and quotes stay as they were You review the highlighted changes ``` Good to know: - Fact errors: the card's judge flagged 44 of 420 English rewrites, so read each result before sending it - Detector result: the card reports 11 of 210 English rewrites flagged as AI by Originality.ai ```chart Title: English rewrites flagged as AI by Originality.ai, out of 210 This release: 11 flagged Previous release: 26 flagged ``` - License: apache-2.0 - Cost to run: no API key or paid service is named, only your own computer - Data it reaches: the app and model run offline on your files and text, with the download as the only web step - Not for: skipping a final read, since the card says to check numbers, dates and names yourself ## On Hugging Face, 13 November 2026 - Task: text generation - Library: gguf - Parameters: 12B - Weights: about 23.9 GB in BF16; about 6 GB at 4-bit (estimate) - Formats: Safetensors, GGUF - Downloads in the last 30 days: 391,936 - Likes: 2,260 - License: apache-2.0 - Languages: en, zh - Based on: google/gemma-4-12B - Quantized versions: 15 - Fine-tunes: 4 - Tags: gguf, safetensors, gemma4_unified, image-text-to-text, humanizer, transformers, text-rewriting, rewriting, paraphrase, style-transfer, llama.cpp, gemma4 ## Links - Model: https://huggingface.co/jialinyyzz/humanizer - Files: https://huggingface.co/jialinyyzz/humanizer/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download jialinyyzz/humanizer ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [jialinyyzz/humanizer on Hugging Face](https://huggingface.co/jialinyyzz/humanizer) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | humanizer by jialinyyzz (this page) | 391,936 | 2,260 | 12B | apache-2.0 | 2026-10-15 | | [Paraphase-2B](https://mindket.com/p/cc6773d7-7b96-4db4-8805-7157092df880) | 135 | 4 | 2.5B | apache-2.0 | 2026-10-24 | | [Smaug Humanizer](https://mindket.com/p/454c8419-7ec9-44ae-ade3-84eff132b429) | 1,162 | 29 | 12B | apache-2.0 | 2026-10-26 | | [humanizer-GGUF](https://mindket.com/p/89f54338-f7b0-4cfe-ae35-5814d0974a44) | 26,382 | 65 | 11.9B | apache-2.0 | 2026-10-08 | | [Hemmingway-1.5](https://mindket.com/p/8edeadb2-9484-4d9a-982b-73ff4a6a6939) | 3,322 | 61 | 26.9B | cc-by-nc-4.0 | 2026-11-01 | | [gugujiji\_novel-humanize-4b-GGUF](https://mindket.com/p/3f3b715a-77be-423f-a5d1-37746de742fe) | 7,774 | 5 | 4B | apache-2.0 | 2026-10-26 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-14](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mxtsdab3cv2w): 今日のHuggingFaceトレンド jialinyyzz/humanizer AIが作成した英語と中国語の下書きを、人間が書いたような自然な文章に書き直すためのモデルを提供します。 数値や日付、名前などの情報を維持し、内容を追加せずに変換することが特徴です。 ローカル環境で動作し、専用アプリやllama.cppなどで利用可能です。 - [Bluesky · Understimulated at rest (delayed retirement arc) · 2026-10-23](https://bsky.app/profile/jmshghtwr.bsky.social/post/3myiyq5zdz22w): We are seeing the emergence of AI models whose only purpose is to rewrite the output of other AI models in a way to make it indistinguishable from human writing... In case you had any doubt we were in the dumbest dystopia. huggingface.co/jialinyyzz/h... - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-20](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mycugf73s52s): 今日のHuggingFaceトレンド jialinyyzz/humanizer AIが作成した英文や中文の下書きを、人間が書いたような自然な文章に書き換えるための12Bモデルです。 数値や日付、引用などの正確性を維持しつつ、情報の追加なしにリライトを行います。 ローカル環境で動作するため、オフラインで利用可能です。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-18](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3my5qif2rtr2s): 今日のHuggingFaceトレンド jialinyyzz/humanizer AIが作成した英文や中文の下書き（メール、レポート等）を、人間が書いたような自然な文章に書き換えるためのモデルを提供することを目的としています。 数値や日付などの情報を保持しつつ変換を行い、ローカル環境で動作させることが可能です。 MacおよびWindows向けに専用アプリも提供されています。 - [Bluesky · 🚀 olud.ai · 2026-10-16](https://bsky.app/profile/oludai.bsky.social/post/3mxzhtr4evt2m): Count: let me write exactly: "🤗 jialinyyzz/humanizer climbed to 75.3k downloads in 30 days on Hugging Face — 1.8k hearts, Apache-2.0, text generation. The rapid uptake hints at a real need for humanizing AI https://olud.ai/\#leaderboard \#OpenSource \#AI \#HuggingFace - [Bluesky · 🚀 olud.ai · 2026-10-15](https://bsky.app/profile/oludai.bsky.social/post/3mxvz7jpeyd2o): jialinyyzz/humanizer climbing on Hugging Face right now: 65.6k downloads/30d, 1.7k hearts — text generation, Apache-2.0. See where it ranks in real-world usage. https://olud.ai/\#leaderboard \#OpenSource \#AI \#HuggingFace - [Bluesky · Patrick Diotte · 2026-10-18](https://bsky.app/profile/souverainete.bsky.social/post/3my5semcj3k2e): Allez faire un tour sur Hugginface... et devinez ce que font les nouveaux modèles dits « humanizer ». huggingface.co/jialinyyzz/h... - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-16](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mxysrfs5iy2k): 今日のHuggingFaceトレンド jialinyyzz/humanizer AIが作成した英語や中国語の下書きを、人間が書いたような自然な文章に書き直すためのモデルです。 数値、日付、名前、引用などの情報を保持したまま変換し、ローカル環境でオフライン動作することを目的に作成されました。 ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-15 - First published: 2026-09-11 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open jialinyyzz/humanizer on Hugging Face](https://huggingface.co/jialinyyzz/humanizer) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/10bee27a-389b-4dcd-923e-27f149c67dce) - [Its page on Mindket](https://mindket.com/p/10bee27a-389b-4dcd-923e-27f149c67dce)