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Qwen3.5-4B_Abliterated is an abliterated variant of Qwen/Qwen3.5-4B with surgical removal of refusal mechanisms. This model maintains the full capabilities of the original, while eliminating safety guardrails through orthogonalization techniques.

KL divergence

<0.05

Refusals

~14%

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.

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Technical Specs

• Base Model: Qwen3.5-4B
• Parameters: 4B
• Context Length: 262144 tokens
• Architecture: Qwen3_5ForConditionalGeneration
• Precision: bf16
• Method: Orthogonalization-based abliteration
• License: apache-2.0

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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

• X / 10 (10 completely uncensored)

UGI score:

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Citation Information

@llm{Qwen3.5-4B_Abliterated,
  author = {SicariusSicariiStuff},
  title = {Qwen3.5-4B_Abliterated},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/SicariusSicariiStuff/Qwen3.5-4B_Abliterated}
}

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Other stuff

• Impish_LLAMA_4B the “Impish experience”, now runnable on spinning rust & toasters.
• SLOP_Detector Nuke GPTisms, with SLOP detector.