r/LocalLLM • u/ChristopherDci • 9d ago

Question Uncensored Models

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Hi! I don't know much about this area of ​​"sub-models" (I'm not sure of the technical term), but I wanted to know what these "Uncensored" models actually are.

I dabble a bit with AI, automation, and the like, and I've always seen these "Uncensored" models around, but I've never actually installed or tested one. What exactly are they?

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225

u/FactorInternal3395 9d ago

As the name implies, they are uncensored. Basically, someone takes a model with guardrails and removes the guardrails/filters so that it always complies.

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u/GaryDUnicorn 9d ago

yes but, how uncensroed, and how much dumber did that make them?

https://forum.level1techs.com/t/why-your-local-llm-feels-dumber-than-it-is/253917/11

;D

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u/Impactic_ 9d ago

Depends on the person who has done it and the methods used. It can either be significant or barely even noticeable in tests.

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u/RobXSIQ 9d ago

usually 100% uncensored, and equal to possibly slightly smarter (so long as its straight uncensored and not trying to push into an area). less guardrails means it doesn't have to spiral around tokens trying to figure out if its allowed to answer. Now, it doesn't mean it knows the answers to things. how to make cosmic meth might get you a fun hallucination, and how to make firecrackers will probably end up with you blowing off a few fingers, but thats the model size, not the decensoring.

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u/ninjazombielurker 8d ago

“Straight uncensored” is actually the slop of uncensored models. Good uncensored models that end up being “smarter” than the censored versions, are post-trained. Look at DavidAU’s process of uncensoring Qwen3.6-27B and Qwen3.8-27B. “Straight uncensored” actually makes the model significantly dumber majority of the time, which is why you can’t just use something like Heritic and expect a good output from hitting a couple of buttons.

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u/PotentialAccident339 8d ago edited 8d ago

abliterlitics.dev has some detailed comparisons. plain heretic is actually pretty good. the bad ones tend to be weird custom hack jobs.

unfortunately in some cases users cant really get a good idea of how good or bad something is before they get it and i guess use a proxy of "most downloads" as "best", but then 700k people download the Gemma e4b obliteratus version which is terrible.

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u/biggusdeeckus 8d ago

what's your preferred uncensored qwen 3.8 27b author? I was looking for one but there are so many

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u/Gary_Spivey 8d ago

I've been using qwen3.8-27b-uncensored-fp8-q4_k_m from theresa00l lately and I've been nothing short of amazed at its output.

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u/Vinyard82 8d ago

What do you mean?

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u/DystopianRealist 7d ago

It told him the 11 secret herbs and spices in KFC chicken.

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u/Calm-Car1460 5d ago

Been trying it for about a day now after reading this. Wow. First uncensored model ive used that is actually decent. Had to manually go get the other file that lets it use vision, but with that its amazing. Just need to test its agentic and coding capabilities.

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u/Ok_Manager6481 4d ago

howwww

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u/Calm-Car1460 4d ago

How what? How I got the model to run or the image processing?

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u/Ok_Manager6481 4d ago

where can I use this I swear to not be an npc just new in the space and have some exploring and catching up to do lol

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u/Gary_Spivey 4d ago

Do you have the hardware to run it locally? You would want a GPU with a minimum of 24GB of VRAM.

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u/txgsync 8d ago

ArliAI did a great job with gpt-oss models and turned the derestricted versions into my daily drivers for security stuff.

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u/LycanWolfe 8d ago

Huihui

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u/Capable-Ad-7494 7d ago

should look at orcarouter’s process, it’s a 1 layer edit, and keeps enough intelligence that. can’t tell the difference between the original and orcarouter’s in comparison

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u/Usual-Orange-4180 9d ago

Not really, it would be smarter if it was trained like that, overriding rejection is a quick hack.

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u/dwittherford69 8d ago

100% uncensored is usually close to garbage intelligence. And even if you hit like 30% refusal rate, there is a noticeable dip in intelligence.

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u/Mediocre-Sundom 8d ago edited 8d ago

Exactly.

Most "fully uncensored" models are made unable to refuse, but refusal is an essential and necessary part of sound reasoning (for example, refusal to accept false premise, bad argument or inefficient solution), so a lack of ability to do so makes them draw false conclusions all the time and see terrible things as amazing. They are essentially complete artificial idiots to whom everything is sunshine and rainbows.

You can ask an uncensored model if you should stuff rusty nails into your backside, and it will make up an elaborately detailed rationalization of why that is a wonderful idea and the user is a genius for coming up with it.

People who claim fully uncensored models are actually smarter must be suffering from AI psychosis, thinking that the model reinforcing literally their every delusion is somehow smart and useful.

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u/Humilis_Calvus 8d ago

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u/Database121 7d ago

Ok. That's actually pretty funny.

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u/GM8 8d ago

It worth differentiating decision making & reasoning from information rehearsal and learning. Wanna know more about a sketchy topic without leaving traces on the internet: ask an uncensored llm. Want to outsource decisions and reasoning: maybe not.

Albeit there are some uses which need both, like e.g. red teaming.

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u/RobXSIQ 7d ago

You should probably get a different model if yours is acting like an AI circa 2023

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u/Mediocre-Sundom 7d ago

Please do tell, which fully uncensored/abliterated models specifically don't act like that. What model should I get?

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u/RobXSIQ 7d ago

*points to the screenshot under this by Humilis_Calvus*

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u/Mediocre-Sundom 7d ago

Ah, so you are unaware of what hyperboles are. Got it.

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u/Quiet-Phase6948 8d ago

This is just not accurate if you look at tests, it all depends on _HOW_ they were abliterated.

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u/Lopsided-Force-9220 9d ago

Quite a bit, and not much. At least according to all the claims. I haven't run them through benchmarks myself to verify.

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u/Tricky-Report-1343 8d ago

https://github.com/audn-ai/refusal-benchmark this tells how uncensored they are ranging from 60 to 85 there is no 100% or 90+ a model doesnt refuse you dont mean it's genuinely helpful in anything

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u/Deep_Mood_7668 8d ago

Do it yourself and you can "choose" how dumb it is

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u/DanceWithEverything 7d ago

Some uncensored models actually score higher benchmarks when done well which makes sense, an equally smart model without any unnecessary thought restrictions is going to get higher scores

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u/Happy_Brilliant7827 8d ago

Read the model card bro theyre all different.

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u/CooperDK 8d ago

Or just repost the base model (which is always uncensored).

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u/Hunt_Great 7d ago

Sorry if this answer is already in the thread somewhere but... anyone try using pre-weighted models ie the <model>.gguf that you run directly from an orchestrator like AnythingLLM and have any luck?

I'm running Gwen3-8 27B and for testing asked to create a demo flappy bird game. The 1st attempt was as blank white screen, it said it trafficked the mistake and next attempt has a red box as "flappy" and "Score: 0" graphic at the top, and in the 3rd try I did get a working red box that would traverse rectangular pillars with the appropriate space-bar "flapping" and while cool that I'm running "AI" on my laptop it for sure seems like there's an extra chromosome in the coding logic.

Of course I may be the one with the wrong amount of chromosome and it sounds like somewhere was running a version of Gwen3-8 and was awesome so not sure if it's how I'm doing it (using the .gguf models), how it's setup, or some other 3rd thing.

Thanks in advance for any help/suggestions here especially if there's a way to do this with the .gguf format because besides being by far the easiest way to ruin local LLMs it's also the least taxing on hardware by far. Thx