huihui-ai/Huihui-Qwen3-4B-abliterated-v2

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Jun 19, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

Huihui-Qwen3-4B-abliterated-v2 by huihui-ai is a 4 billion parameter uncensored variant of the Qwen3-4B causal language model, featuring a 40960 token context length. This model was created using an abliteration technique to remove refusal behaviors, offering a proof-of-concept for uncensored LLM responses. It is primarily designed for research and experimental use cases where reduced safety filtering is desired.

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Model Overview

huihui-ai/Huihui-Qwen3-4B-abliterated-v2 is a 4 billion parameter model based on the Qwen3-4B architecture, featuring an extended context length of 40960 tokens. Its primary distinction is the application of an "abliteration" technique to significantly reduce or remove refusal behaviors and safety filtering present in the base model. This makes it an uncensored variant, intended for specific research and experimental applications.

Key Capabilities

  • Uncensored Responses: Engineered to provide responses without typical safety filtering or refusals, achieved through an abliteration process.
  • Qwen3-4B Foundation: Leverages the underlying capabilities of the Qwen3-4B model.
  • Extended Context Window: Supports a substantial context length of 40960 tokens, allowing for processing longer inputs and generating more extensive outputs.
  • Improved Abliteration: This version (v2) incorporates a new and faster abliteration method, yielding better results compared to its predecessor.

Usage Warnings & Considerations

  • Risk of Sensitive Content: Due to reduced safety filtering, the model may generate sensitive, controversial, or inappropriate content.
  • Not for All Audiences: Outputs may be unsuitable for public settings, underage users, or applications requiring high security.
  • Legal & Ethical Responsibility: Users are solely responsible for ensuring compliance with local laws and ethical standards.
  • Research & Experimental Use: Recommended for research, testing, or controlled environments; not advised for production or public-facing commercial applications.
  • No Default Safety Guarantees: huihui.ai explicitly states no responsibility for consequences arising from its use due to the lack of rigorous safety optimization.