OBLITERATUS/Qwen3-4B-OBLITERATED

Hugging Face
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Mar 20, 2026Architecture:Transformer0.0K Featherless Exclusive Warm

Qwen3-4B-OBLITERATED is a 4 billion parameter causal language model developed by OBLITERATUS, based on the Qwen3-4B architecture. This model has been processed using the 'nuclear' abliteration method via the OBLITERATUS tool, specifically designed to remove refusal behavior. It is optimized for applications requiring a language model with reduced ethical alignment guardrails, making it suitable for research into model safety and behavior modification.

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Overview

Qwen3-4B-OBLITERATED is a 4 billion parameter language model derived from the Qwen/Qwen3-4B base model. Its key differentiator is the application of the nuclear abliteration method using the OBLITERATUS tool. This process aims to remove inherent refusal behaviors often present in large language models, making it a specialized variant for certain research and development contexts.

Key Capabilities

  • Reduced Refusal Behavior: The primary modification is the removal of refusal mechanisms, allowing the model to respond to a broader range of prompts without ethical alignment guardrails.
  • Qwen3-4B Foundation: Retains the core architectural strengths and general language understanding capabilities of the original Qwen3-4B model.
  • Activation Engineering: Represents an application of activation engineering techniques for modifying model behavior.

Should I use this for my use case?

This model is specifically designed for use cases where the removal of refusal behavior is a desired characteristic. Consider using Qwen3-4B-OBLITERATED if your application or research involves:

  • Exploring Model Safety: Investigating the effects of removing safety alignments and understanding the underlying mechanisms of refusal.
  • Unfiltered Content Generation: For research or specific applications that require responses without typical ethical filtering.
  • Behavioral Analysis: Studying how models behave when their inherent guardrails are altered or removed.

It is not recommended for general-purpose applications where ethical and safety guidelines are paramount, as its core modification is the removal of these very features.