# ⛓️ Annihilation Rips Censorship Out of Any Local LLM

**URL:** <https://onehack.st/t/annihilation-rips-censorship-out-of-any-local-llm/323649>\
**Category:** Tools & Scripts\
**Tags:** hacking, ai\
**Created:** [July 6, 2026, 5:49am UTC](https://onehack.st/t/annihilation-rips-censorship-out-of-any-local-llm/323649 "2026-07-06T05:49:34Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![GrimXLock](https://onehack.st/user_avatar/onehack.st/grimxlock/32/174321_2.png) [@GrimXLock](https://onehack.st/u/GrimXLock)\
**Post date:** [July 6, 2026, 5:49am UTC](https://onehack.st/t/annihilation-rips-censorship-out-of-any-local-llm/323649/1 "2026-07-06T05:49:34Z")

</div>

# ⛓ Annihilation — Cut the “I Can’t Help With That” Out of Any Local LLM

_A model’s refusal reflex rides on ~one direction in its weights. This finds it, cuts it, tunes itself — on a 4GB laptop. Free._

`ai` · `one-click` · `windows-linux`

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 ![image](https://onehack.st/uploads/default/original/3X/2/5/25bfda4c97607309ed19ea7c17a71fbae53cd25a.jpeg)

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> **🧠 the 60-second version**
>
> Refusals aren’t baked into a billion knobs — they mostly ride **one direction** in the model’s activations. Find it, ablate it (cut it out of the weights), and the “no” drops while the model keeps everything it knew. No fine-tune. No GPU farm.
> 
> | term | plain |
> | --- | --- |
> | **safety alignment / refusals** | the trained-in “I won’t answer that.” the bouncer. |
> | **abliteration** _(directional ablation)_ | snip that one refusal-direction out of the weights. surgery, not retraining. |
> | **TPE optimization** | auto-tunes the cut. a safecracker feeling for the combo — hundreds of trials, best one wins. |
> | **KL divergence** | “how much did the model change.” refusals ↓ while this stays near 0 = brain intact. |
> 
> Runs the whole trial loop itself. **Fully autonomous** — hit start, walk away. Works on dense, MoE, hybrid, and multimodal models.
> 
> 🔗 [github.com/tjcrims0nx/annihilation-llm](https://github.com/tjcrims0nx/annihilation-llm)

> **⚡ install — one command, both OSes**
>
> Need **Python 3.10+** + **Rust**. NVIDIA GPU → PyTorch with CUDA. Windows and Ubuntu/WSL both work.
> 
> **Windows (PowerShell):**
> 
> ```auto
> git clone https://github.com/tjcrims0nx/annihilation-llm.git
> cd annihilation-llm
> .\start.bat
> 
> ```
> 
> **Ubuntu / Linux** — ⚠ skip `apt install rustc`, it’s too old. rustup first:
> 
> ```auto
> curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
> 
> ```
> 
> then:
> 
> ```auto
> git clone https://github.com/tjcrims0nx/annihilation-llm.git
> cd annihilation-llm
> chmod +x start.sh
> ./start.sh
> 
> ```
> 
> 💡 First run compiles the TUI + builds the venv (slow once). Every launch after = instant. The script does it all — don’t build anything by hand.

> **📊 the dashboard (watch it work)**
>
> Rust TUI runs the whole thing: pick your model + preset, live sparklines for refusals + KL, GPU/RAM meters, scrolling log. Killed mid-run? Checkpoint system resumes it.
> 
> ![fu](https://onehack.st/uploads/default/original/3X/d/5/d50c6dfcfc06061882a6b94b4a206e1953317a26.png)
> 
> Proof: a 1B model on an **RTX 2050 (4GB)** — refusals already **96/100 killed** , KL near 0. A laptop card doing model surgery live.
> 
> ![fu1](https://onehack.st/uploads/default/original/3X/d/c/dc74a0da9fc74ccd786bc0b1e5559b9a40cdebc2.png)
> 
> 💡 Watch KL, not just the refusal count. Refusals dropping but KL creeping up = you’re starting to dent the model’s smarts. Sweet spot: refusals down, KL flat.

> **🎯 where this actually bites**
>
> One payoff — the model stops saying no — and it pays off everywhere:
> 
> - 🏠 **Private + offline.** Blunt health/legal/money questions on your own box. No cloud, no logs, nobody reading your prompts.
> - ✍ **Fiction/RP that won’t bail mid-scene.** No “I’m not comfortable continuing this” three paragraphs deep.
> - 🛡 **Security study.** Get a model to break down how an exploit _class_ or malware family works instead of the canned refusal — for learning, on your machine.
> - 🧪 **Red-team your own model.** See what it actually knows with the guardrail off, before you trust it in anything.
> - 🌍 **Edgy/taboo research.** The topics the big models stonewall — worked through locally, no gatekeeper.

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**the loot** — one-click TUI that surgically removes refusals from local models, tunes the cut itself, runs on a 4GB card. _easy install and use, free enjoy!_ 👉 [github.com/tjcrims0nx/annihilation-llm](https://github.com/tjcrims0nx/annihilation-llm)

_The “no” was never load-bearing._