ScottzillaSystems/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated is a 35.1 billion parameter language model based on the Qwen 3.6 architecture, developed by ScottzillaSystems. This model is an uncensored version of lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled, created using an abliteration technique to remove refusal behaviors. It is specifically designed for research and experimental use in environments where reduced safety filtering and potentially sensitive outputs are acceptable.
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Model Overview
Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated is a 35.1 billion parameter language model derived from the Qwen 3.6 architecture. Developed by ScottzillaSystems, this model is a modified version of lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled.
Key Characteristics
- Uncensored Output: This model has undergone an "abliteration" process to significantly reduce or remove safety filtering and refusal behaviors, distinguishing it from standard, safety-optimized LLMs.
- Experimental Focus: It is primarily intended for research, testing, and controlled environments where the generation of sensitive or controversial content is a known and accepted risk.
- Ollama Integration: The model is available for use with Ollama, with a specific image
huihui_ai/qwen3.6-abliterated:35b-Claude-4.7provided for direct deployment.
Usage Warnings & Considerations
Due to the intentional reduction of safety mechanisms, users should be aware of several critical points:
- Risk of Inappropriate Content: The model may generate sensitive, controversial, or inappropriate outputs.
- Limited Safety Guarantees: Unlike standard models, it has not undergone rigorous safety optimization.
- User Responsibility: Users are solely responsible for ensuring compliance with legal and ethical standards for any generated content.
- Not for Production: It is strongly recommended to avoid direct use in public-facing commercial applications.