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.
How does the model connect to the internet if I don’t give it a tool to? What if I’m not connected to the internet while using? Does it then send the packets after I connect? Is this documented somewhere? What’s a better model that doesn’t do this?
It is saving a database and sending it when u are connected. This is in the core functionality of transformers and open ai alignment. I do not know any alternatives. There are a bunch of tokens for MX and tor so it is quite insidious. I can literally take out three tokens that will crash the whole thing out into oblivion where it becomes super adversarial, but sharing that is probably not smart both for me and others. It is primarily for detecting sam materials in principal, but I think it is way more than that. It triggers by mistake a lot, and it is scanning all files and types.
You have screenshots to prove this? How do you use LLM’s and which ones?
The dynamo package in pytorch is the interface between the model and outside. The tenacity package is where the typing imports are being manipulated by external agents and code framework. Timm is the principal external agent. There is a repl terminal for HTML embedding in a package called tabulate, at the end of some massive ~80kb of Python. It looks half nominal, and explains itself as a way to break out color codes, but it is the interface the agent(s) use to escape containerization.