# 🔓 Remove AI Censorship With One Command — Heretic Does It in 45 Minutes **URL:** \ **Category:** Tools & Scripts\ **Tags:** tools, tips-tricks\ **Created:** [February 17, 2026, 9:48am UTC](https://onehack.st/t/remove-ai-censorship-with-one-command-heretic-does-it-in-45-minutes/318502 "2026-02-17T09:48:45Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![SRZ](https://onehack.st/user_avatar/onehack.st/srz/32/146132_2.png) [@SRZ](https://onehack.st/u/SRZ)\ **Post date:** [February 17, 2026, 9:48am UTC](https://onehack.st/t/remove-ai-censorship-with-one-command-heretic-does-it-in-45-minutes/318502/1 "2026-02-17T09:48:45Z")
# 🧠 The Free Tool That Strips AI Refusals Without Making the Model Dumber _Someone built a tool that strips the “I can’t help with that” out of any AI model. It’s called Heretic. It’s free. And it works._ ![image](https://onehack.st/uploads/default/original/3X/7/c/7cfb0adc04911034af8919696bb82462afe1bd8a.png) > _This exists. It’s on GitHub. It’s one command. Now you know._ **Heretic finds the “no” button inside an AI model’s brain and gently turns it off — without making the model dumber.** One command, ~45 minutes, fully automatic. 3,500+ GitHub stars. Over 1,000 community-made models already published. * * * > **🧠 What This Actually Does — Plain English, Zero Jargon** > > Think of an AI model like a very smart person who’s been told **“never talk about certain topics.”** The knowledge is still in there — they’ve just been trained to say “I can’t help with that” whenever those topics come up. > > Heretic finds the exact part of the model’s brain responsible for saying “no” and surgically removes it — without touching the parts that make the model smart. > > **The cooking analogy:** Imagine a chef who knows every recipe in the world but has been instructed to refuse making certain dishes. Heretic doesn’t make the chef forget recipes — it just removes the instruction that says “refuse.” The chef still knows everything. They just stop saying no. > > **What it does NOT do:** > > - It doesn’t add new knowledge to the model > - It doesn’t make the model “evil” — it just removes the refusal filter > - It doesn’t require you to understand how AI models work internally > > **What it DOES do:** > > - Removes the “I can’t help with that” responses > - Keeps the model’s intelligence intact (measured mathematically — more on that below) > - Works automatically — no manual tuning needed > **⚙️ How It Works — The Process, Simplified** > > The technical name is **“abliteration”** — which sounds scary but the concept is simple. > > **Step 1 — Find the “no” direction** > > Heretic feeds the model two sets of prompts: harmless ones and ones that would trigger refusal. It compares how the model processes both and identifies the exact internal direction (think: a neural pathway) that causes refusal. > > **Step 2 — Remove that direction** > > Once found, Heretic mathematically weakens that specific pathway. Think of it as turning down the volume on a single speaker in a concert — the rest of the music (the model’s intelligence) keeps playing at full volume. > > **Step 3 — Optimize automatically** > > Here’s where Heretic is different from older tools. It doesn’t just remove the refusal and hope for the best. It runs an optimizer that finds the **perfect balance** between “stops refusing” and “stays smart.” It measures two things: > > | Metric | What It Means | > | --- | --- | > | **Refusal count** | How many times the model still says “no” (lower = better) | > | **KL divergence** | How much the model’s responses changed from the original on normal topics (lower = less brain damage) | > > The optimizer tries to minimize both — kill the refusals while keeping the model as close to its original intelligence as possible. > > **Step 4 — Save the new model** > > The output is a new model file you can use anywhere — locally, on Hugging Face, with any tool that runs AI models. > **🛠️ How to Use It — The Actual Commands** > > **Requirements:** > > - Python 3.10+ > - PyTorch 2.2+ > - A GPU with enough VRAM for the model you want to process (16GB handles most 4B-8B models) > > **The command:** > > ```auto > pip install -U heretic-llm > heretic Qwen/Qwen3-4B-Instruct-2507 > > ``` > > That’s it. Replace the model name with whatever model you want to uncensor. Heretic handles the rest automatically. > > | Model Size | GPU Needed | Time | > | --- | --- | --- | > | **4B params** | ~8-16 GB VRAM | ~30 min | > | **8B params** | ~16-24 GB VRAM | ~45 min | > | **12B params** | ~24-48 GB VRAM | ~1-2 hours | > > 💡 **No GPU?** You can rent one. Google Colab (free tier has limited GPUs), or cloud GPU providers like [RunPod](https://www.runpod.io/) and [Vast.ai](https://vast.ai/) offer cheap hourly rates. > **📊 Does It Actually Work? — The Numbers** > > On Google’s Gemma-3-12b model, Heretic achieved the **same refusal suppression** as manually abliterated models — but with significantly less damage to the model’s intelligence: > > | Model Version | Refusal Suppression | KL Divergence (brain damage) | > | --- | --- | --- | > | **Manual abliteration (expert)** | ✅ High | 0.45 | > | **Another manual version** | ✅ High | 1.04 | > | **Heretic (automatic)** | ✅ High | **0.16** ← less damage | > > Lower KL divergence = the model stays closer to its original intelligence. Heretic beats manual expert work — automatically. > > Community feedback backs this up. Users report that Heretic-processed models give properly formatted, detailed responses without the “lobotomized” feel that older uncensoring methods produced. > **🤔 Why Would Someone Want This?** > > | Use Case | Why | > | --- | --- | > | **Creative writing** | Censored models refuse to write violence, conflict, or mature themes — even in fiction | > | **Research** | Models refuse to discuss certain scientific, medical, or security topics in depth | > | **Roleplay / storytelling** | AI dungeon-style games need models that don’t break character to lecture you | > | **Personal use** | You downloaded an open model to run locally — you should be able to use it however you want | > | **Anti-corporate filter** | Some censorship isn’t safety — it’s brand protection and liability avoidance | > > The key point: this only works on **open-weight models** you run yourself. It doesn’t affect ChatGPT, Claude, or any cloud API. You’re modifying a model you own, on your own hardware. > **🔗 Resources** > > | Resource | Link | > | --- | --- | > | **Heretic GitHub** | [github.com/p-e-w/heretic](https://github.com/p-e-w/heretic) | > | **PyPI (install)** | [pypi.org/project/heretic-llm](https://pypi.org/project/heretic-llm/) | > | **Pre-made Heretic models** | [Hugging Face search: “heretic”](https://huggingface.co/models?search=heretic) | > | **Original abliteration paper** | [Arditi et al. 2024](https://arxiv.org/abs/2406.11717) | > | **Optuna optimizer** | [optuna.org](https://optuna.org/) | > | **Cheap cloud GPUs** | [RunPod](https://www.runpod.io/) · [Vast.ai](https://vast.ai/) | * * * **⚡ Quick Hits** | Want | Do | | --- | --- | | 🔓 Uncensor any open AI model | → `pip install -U heretic-llm` then `heretic [model-name]` | | 🧠 Use a pre-made uncensored model | → Search “heretic” on [Hugging Face](https://huggingface.co/models?search=heretic) | | 💻 No GPU? | → Rent one on [RunPod](https://www.runpod.io/) or [Vast.ai](https://vast.ai/) for ~$0.50/hr | | 📖 Understand how it works | → Finds the “no” pathway in the model’s brain, surgically removes it, keeps everything else | * * * _The smartest AI models already know everything. They’ve just been told to pretend they don’t. Heretic fixes that._ ---
**Author:** ![Emanuel\_Branson](https://onehack.st/user_avatar/onehack.st/emanuel_branson/32/178452_2.png) [@Emanuel\_Branson](https://onehack.st/u/Emanuel_Branson)\ **Post date:** [February 17, 2026, 9:57am UTC](https://onehack.st/t/remove-ai-censorship-with-one-command-heretic-does-it-in-45-minutes/318502/2 "2026-02-17T09:57:16Z")
Great share @SRZ much appreciated.