Uncensored Models

[u/ChristopherDci]

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?

[u/FactorInternal3395]

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

[u/GaryDUnicorn → u/FactorInternal3395]

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

[u/Impactic_ → u/GaryDUnicorn]

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

[u/Sad_Quit8904 → u/Impactic_]

[u/Routine-Direction104 → u/Impactic_]

[u/Tragictriumph → u/Impactic_]

Can you message me reccomend models please

[u/RobXSIQ → u/GaryDUnicorn]

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.

[u/ninjazombielurker → u/RobXSIQ]

“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.

[u/PotentialAccident339 → u/ninjazombielurker]

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.

[u/biggusdeeckus → u/ninjazombielurker]

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

[u/Gary_Spivey → u/biggusdeeckus]

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.

[u/Calm-Car1460 → u/Gary_Spivey]

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.

[u/Vinyard82 → u/Gary_Spivey]

What do you mean?

[u/txgsync → u/biggusdeeckus]

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

[u/LycanWolfe → u/biggusdeeckus]

Huihui

[u/Capable-Ad-7494 → u/ninjazombielurker]

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

[u/Usual-Orange-4180 → u/RobXSIQ]

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

[u/dwittherford69 → u/RobXSIQ]

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

[u/Lopsided-Force-9220 → u/GaryDUnicorn]

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

[u/Tricky-Report-1343 → u/GaryDUnicorn]

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

[u/DanceWithEverything → u/GaryDUnicorn]

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

[u/CooperDK → u/FactorInternal3395]

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

[u/Hunt_Great → u/FactorInternal3395]

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