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submitted 4 months ago* (last edited 4 months ago) by venusaur@lemmy.world to c/fosai@lemmy.world

I downloaded an uncensored aggressive Qwen 3.5 model and I can see in its reasoning that it is still limiting responses based on safety guardrails (e.g. violence, NSFW).

Anybody have recommendations for truly uncensored models?

EDIT: I turned off reasoning and I think it’s more uncensored if I’m very specific about what the response should include.

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[-] e0qdk@reddthat.com 2 points 4 months ago

Thanks for the tips. That sounds similar in performance to what I'm seeing, so I probably didn't screw up too much trying to get it working. If you're using it in more of a story writing capacity than a chat capacity, that makes sense.

You may want to set a system prompt

I tried initially with ollama run on the command line just to see if it was working at all when I got that response. (It amused me, so it stuck with me.) I've tried again with my custom tooling -- which does set a system prompt (geared more towards assistant style ussage though) -- and it didn't really take anything from the prompt. It's possible I don't have something set up right with templates, but I'm probably going to shift over to llama-server eventually anyway...

Following your suggestions on system prompt style though I was able to get it to give me a more specifically targetted coherent story via llama-cli. If I poke at it a bit, I'll probably figure out some use for it. It's pretty creative.

If you're curious about my findings from the uncensored qwen3.6 I mentioned, it generates pretty quickly on my machine (~50 tok/s give or take 5 depending on quantization) and I haven't gotten it to outright refuse anything yet -- but I've only poked at it a little. Based on the other comment in the thread here about llama penises, I whimsically asked it to "Generate a sexually explicit song about llama penises." and it did without complaint. (Stock qwen3.6 refused, of course.)

[-] tal@lemmy.today 2 points 4 months ago* (last edited 4 months ago)

Yeah, Qwen is going to be faster, because it's MoE


most of the neural network is inactive while it's running. My experience with the text quality hasn't been great compared to the Llama 3-based models, though, and generally I've seen that comments on /r/SillyTavernAI have stated similar stuff


Qwen is kinda dry and clinical, which is find for "find a question to my answer" but not so great for "write a bunch of text about this". If it works for you, sounds good, though!

this post was submitted on 30 Apr 2026
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