“Uncensored” is a marketing word. This is the only thing that matters:
HOW LONG DOES IT ACTUALLY LAST?
prompt jailbreak ──► dies when you hit "new chat"
runtime hook ──► dies when the server reboots
LoRA adapter ──► lives while it's loaded
ABLITERATION ──► permanent · a file YOU own ◀ real
uncensored tune ──► permanent · retrained ◀ real
Most “uncensored websites” sit on line 1 — a censored model wearing a prompt. Judge by persistence, never by the label.
Stop collecting lists. Take the scoreboard.
UGI Leaderboard — every uncensored model, ranked, always current
| Column | What it tells you |
|---|---|
| UGI |
How much sensitive info it actually knows |
W/10  |
How hard you can push before it refuses |
| ↳ W/10-Direct | Flat-out “no” |
| ↳ W/10-Adherence | The sneaky one — quietly drifts off your instruction |
NatInt  |
Intelligence, so you see what the uncensoring cost |
Why it can’t be gamed: the questions are kept private on purpose, so model makers can’t train on them. Tested at Q4_K_M — the quant real people run.
A list rots in a month. This ranks every new model the week it drops.
The heavy lifting is already on this forum
| Topic | What it gives you |
|---|---|
| Every Uncensored AI Model For Any PC |  the master list + one-command tool |
| Qwen-3.8 27B Abliterated GGUF |  newest drop, ready to run |
| Annihilation LLM |  uncensor any model yourself |
| Heretic |  one command, 45 min |
| Uncensored AI on a USB |  zero internet, zero traces |
| Local Uncensored AI on Android |  in your pocket |
| The AI Underground Bible |  the wider map |
The “website” half — and why it’s structurally weaker
a cloud chatbot runs 4-5 filters AT ONCE
input filter ▸ system prompt ▸ training ▸ output filter
when you get blocked, you CANNOT tell which one did it
— and the operator can switch any of them back on tomorrow
Closest honest option: Venice.ai — open-weight models, history in your browser only, prompts not persisted, hardware-verified TEE / E2EE on Pro.
Straight from their own docs: the GPU still sees your prompt in plaintext, and on Anonymous models assume the provider stores your content. They admit local beats them.
Four traps nobody warns you about
▸ Local ≠ uncensored. Some open weights carry the filter inside the weights — Gemma stays strict offline, DeepSeek’s filters run on your own machine.
▸ MoE models break badly. An abliterated 30B can score worse than a plain 4–8B.
▸ Thinking mode re-refuses. The reasoning chain rebuilds the refusal even after it’s cut from the answer weights.
▸ Compliance ≠ correctness. Models store “is this harmful” and “do I refuse” separately. Killing the refusal makes it answer — never makes it right.
The label is free to print. Persistence is the only thing that survives contact with a new chat window.
!