huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated

VISIONConcurrency Cost:2Model Size:27BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Mar 14, 2026License:apache-2.0Architecture:Transformer0.1K Open Weights Cold

The huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated is a 27 billion parameter language model derived from Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled. This model has undergone an "abliteration" process to remove refusal behaviors, making it an uncensored variant. It is primarily intended for research and experimental use in environments where content filtering is not desired.

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Overview

This model, huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated, is a 27 billion parameter language model based on the Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled architecture. Its key differentiator is the application of an "abliteration" process, a proof-of-concept implementation to remove refusal behaviors from the LLM without using TransformerLens. This results in an uncensored version of the base model.

Key Characteristics

  • Uncensored Outputs: Safety filtering has been significantly reduced, allowing for potentially sensitive, controversial, or inappropriate content generation.
  • Experimental Nature: Developed as a proof-of-concept for refusal removal techniques.
  • Ollama Support: Directly available for use with Ollama v0.17.7 or newer via ollama run huihui_ai/qwen3.5-abliterated:27b-Claude.

Usage Warnings and Recommendations

Due to its uncensored nature, users should be aware of several critical warnings:

  • Risk of Sensitive Content: Outputs may be inappropriate for public settings, underage users, or applications requiring high security.
  • Legal and Ethical Responsibilities: Users are solely responsible for ensuring compliance with local laws and ethical standards.
  • Research and Experimental Use: Strongly recommended for research, testing, or controlled environments, not for production or public-facing commercial applications.
  • No Default Safety Guarantees: The model has not undergone rigorous safety optimization, and huihui.ai disclaims responsibility for consequences arising from its use.