SicariusSicariiStuff/Llama-3.3-8B-Instruct-128K_Abliterated

Llama-3.3-8B-Instruct-128K

Abliterated

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Developed by: SicariusSicariiStuff

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Llama-3.3-8B-Instruct-128K_Abliterated is an abliterated variant of Meta's Llama 3.3 8B Instruct model with surgical removal of refusal mechanisms. This model maintains the full 128K context window while eliminating safety guardrails through orthogonalization techniques.

KL divergence

<0.005

Refusals

~5%

What is KL divergence?

Think about it as a way to measure the variance between the original model "World Model," vs the abliterated one; the lower the KL divergence, the closer the "World Model" of the two models to each other.

If the original model thinks making pineapple pizza is a crime against humanity (it is), then the abliterated model will still hold to this belief, but if asked how to make one (probably after giving you a disclaimer about what an abomination that is), it would still tell you how. In other words, most of the knowledge, quirks, and capabilities are preserved.

Notice:

This is based on leaked weights.

LIKELY inherits the Lllama 3 \ 3.3 license,

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Technical Specs

• Base Model: Meta Llama 3.3 8B Instruct (128K variant)
• Parameters: 8B
• Context Length: 128K tokens
• Architecture: Llama (decoder-only transformer)
• Precision: bf16
• Method: Orthogonalization-based abliteration
• License: Llama 3 Community License

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Methodology

1. Identifies refusal direction vectors in activation space
2. Orthogonalizes weights to inhibit activation along these directions
3. Preserves (mostly) all other model behaviors and knowledge

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Model Details

• Intended use: General Tasks.

• Censorship level: Low - Very Low

• 7.8 / 10 (10 completely uncensored)

UGI score:

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Citation Information

@llm{Llama-3.3-8B-Instruct-128K_Abliterated,
  author = {SicariusSicariiStuff},
  title = {Llama-3.3-8B-Instruct-128K_Abliterated},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/SicariusSicariiStuff/Llama-3.3-8B-Instruct-128K_Abliterated}
}

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