Alberated AI. How do i get it done? A video guide to it? from /post/58a13a2d0534f2a462a8

I read /post/58a13a2d0534f2a462a8 and i decided i need it personally.

What AI model is best for Alberation? I want the Abliterated version of GPT 5.5 and Claude opus 4.8.

For none programmers, can you give a step by step or a video guide to get it done? What specs is required, i saw some codes that need to be run in something like terminal, where will it be done on? for window user, will the code be used on vscode or what? for mac users, will be used in terminal? for linux users, terminal also?

I know a lot will also be interested in this but all write up about it seems technical and ununderstandable for common people.

You can also help with the automation for automatic way: https://colab.research.google.com/drive/1RmLv-pCMBBsQGXQIM8yF-OdCNyoylUR1?usp=sharing#scrollTo=02xhP8PM9zpn

Best AI Model: Llama 3 (or Llama 3.1) in GGUF format

Setup: Llama.cpp (runs on Windows, Mac, or Linux)

Automation: Use the Colab notebook for no-setup, browser-based AI

Tools: VS Code (Windows), Terminal (Mac/Linux), or Colab

AI in style of Claude Opus and GPT 5.5 would require you to have atleast RTX 5090 for 32GB of VRAM for self-hosting since no company will ever allow uncensored AI. For normal usage and normal hardware you can get the version of qwythos-9b-abliterated which is citing:

Abliterated build of Qwythos-9B-Claude-Mythos, a Claude-style creative & reasoning model (Qwen3.5-9B base) with refusals further reduced via the Heretic library.

9B reasoning & creative model on a Qwen3.5-9B base, post-trained on Claude Mythos & Fable traces, with a 1M-token context (YaRN). The base is already largely uncensored; this build applies Heretic to trim residual refusals while preserving its style and coherence. Thinking model (<think>), function-calling capable.

You can get it on ollama.

Thank you on that. I have the Qwen3.5 4b installed already. What next is to be done to make it Abliterated

That’s actually a separate issue worth exploring. Local models are great. BUT! That only applies to the here and now. Beyond that lies the realm of possibility. If the industry creates room for independent developers to build high-quality open-source models, things will work out—though that’s a pretty bold assumption. On the other hand, if the market leaders relent and start selling local models under strict enterprise licenses—without requiring data transmission to the vendor—then we could see a return to old tactics involving shell companies and the like.

So the "fuck the system" trend has a right to exist.

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