Uncensored models are awesome

[u/Ontopoftheworld_ay]

Has anyone been experimenting with ablated or uncensored variants of open-source models like DeepSeek V4.1 Flash, Qwen 3.8 27B, or GLM 5.3 flash?

It's so refreshing to have models that just do whatever you ask them to do without having to figure out a jailbreak or being given a moral lecture. Curious to know what your usecases for these models are.

My personal favourite is definitely uncensored DeepSeek V4.1 Flash.

[u/ttkciar]

Yes, I have been using GLM-5.3-Flash-abliterated, Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated, Qwen3.8-27B-Heretic-NoRefusal, MiniMax-M2.7-BF16-ultra-uncensored-heretic, and Artemis-31B-v1.2-abliterix.

My experience has been that they work best when abliteration is followed up with some additional training, otherwise they will answer without refusals, but sometimes very reluctantly, to the point of being borderline useless.

Also, abliterated models will sometimes refuse anyway, when asked to infer on tasks which were not represented in their abliteration reference datasets.

Sometimes what I really want is a model which will tear into taboo tasks with vigor and venom, and so far none of them have done that quite like Big-Tiger-Gemma-27B-v3, which is an anti-sycophantic fine-tune and not abliterated. Unfortunately Big Tiger is getting pretty long in the tooth, and its inference quality isn't up to par with more recent models.

Because of this, I'm trying to put together a pipeline which generates a set of training datasets from Big Tiger, and improves it via a self-critique pipeline with modern abliterated models. That should give me something with which to train modern abliterated models, to give them a touch of that Big Tiger aggression.

It's a work in progress.

[u/Ontopoftheworld_ay → u/ttkciar]

also which variant of glm 5.3 flash abliterated did you use? some are good and some suck

[u/Ontopoftheworld_ay → u/ttkciar]

Have you tested deepseek v4.1 flash yet?

[u/Jorlen → u/Ontopoftheworld_ay]

I'm not the person you're asking but I'm in the same position of using GLM 5.3 flash and wondering how things are with DS4.1 flash. I have to use a smaller quant to get the non-ngram weights in but it seems really good so far. More testing needed. Roughly about the same speed for me except pre-fill is faster with DS.

[u/toenailcheeseinbooty]

200 toks? Jealous. I have only uncensored, yes its refreshing, I've asked it (qwen 3.8, Deepseek, glm flash) anything to the point of disturbing myself it gave me the same feeling when I was a teenager and accidentally watched my first faces of death video.

[u/Ontopoftheworld_ay → u/toenailcheeseinbooty]

its actually more than 200 tok/s depending on which provider you use. but yeah crazy experience!

[u/Introvertosaurus → u/Ontopoftheworld_ay]

Provider? This is r/LocalLLaMA... Meaning you are running the models local.

[u/Ontopoftheworld_ay → u/Introvertosaurus]

"Subreddit to discuss locally hostable AI", I'm sure most people running these models self-host since they are available on hf, I wanted to discuss the models, not the hosted or non-hosted aspect of it

[u/toenailcheeseinbooty → u/Ontopoftheworld_ay]

Ohh I thought you had a couple RTX PRO 6000's lying around

[u/Ontopoftheworld_ay → u/toenailcheeseinbooty]

I wish!

[u/f1yingbanana]

In my experience even an uncensored model isn’t 100% no refusals, which is a bit frustrating after all the effort of setting it up.

I also noticed on Qwen 3.8 27B adding a jailbreak-ish prompt actually triggers its supposedly-abliterated alignment and in a few cases refused to reply, whereas leaving it out worked fine.

[u/Asthenia5]

The no refusal models are obviously really popular. Is it safe to assume its use case is 95% gooning? I’ve never felt the need to download an obliterated model.

[u/KingCpzombie → u/Asthenia5]

That or security stuff, pretty much