ScottzillaSystems/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated
Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated is a 9 billion parameter uncensored variant of the Qwen3.5-9B model, derived from Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2. This model has undergone 'abliteration' to significantly reduce safety filtering and refusal behaviors, making it suitable for research into uncensored LLM outputs. It offers a 32768 token context length and is primarily intended for experimental use in controlled environments.
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Model Overview
ScottzillaSystems/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated is a 9 billion parameter language model based on the Qwen3.5 architecture, specifically an uncensored version of the Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2 model. Its primary distinction lies in the application of an "abliteration" process, a proof-of-concept method to remove refusal behaviors and safety filtering without using TransformerLens.
Key Characteristics
- Uncensored Output: Safety filtering has been significantly reduced, allowing for the generation of content that might be sensitive, controversial, or inappropriate.
- Experimental Nature: This model is presented as a crude, proof-of-concept implementation for exploring uncensored LLM capabilities.
- Context Length: Supports a context window of 32768 tokens.
Usage Warnings & Recommendations
Due to its uncensored nature, users should be aware of several critical points:
- Risk of Sensitive Content: The model can produce sensitive, controversial, or inappropriate outputs.
- Not for All Audiences: It is unsuitable for public-facing applications, underage users, or environments requiring strict content moderation.
- User Responsibility: Users are solely responsible for ensuring their usage complies with legal and ethical standards.
- Research Use Only: Recommended for research, testing, or controlled environments, not for production or commercial applications.
- Monitoring Required: Manual review and real-time monitoring of outputs are strongly advised.
- No Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization, and no default safety guarantees are provided.