New Qwen3.5-9B-Uncensored-HauhauCS-Aggressive Drops All Limits

By vramkickedin | | 2 min read
Large heavy rectangular monolith of rough matte black stone cracking open symbolizing restriction or filters.

The recently released Qwen3.5-9B-Uncensored-HauhauCS-Aggressive removes standard safety filters from the original nine-billion-parameter AI model while keeping all original text and image processing abilities intact. Users can input unrestricted prompts without triggering typical system blocks or response interruptions.

Independent developer HauhauCS who also brought us Nemotron3-Nano-4B-Uncensored-HauhauCS-Aggressive and Gemma-4-E4B-Uncensored-HauhauCS-Aggressive, produced this variant to address strict output limitations found in standard base models. The release targets workflows that require complete creative control and unedited data generation.

Model Size: from 5.63GB & VRAM GPU: requirements vary

Unfiltered generation and multimodal support

  • Complete removal of prompt restrictions while keeping original reasoning steps.
  • Built-in image and video processing alongside standard text analysis.
  • Support for over two hundred languages with extended conversation windows.
  • Flexible runtime compatibility with popular local inference software.

Professionals managing large document sets or creative media assets can run the model locally to process complex files without waiting for cloud approvals. Keeping operations offline also reduces data exposure during sensitive projects and allows teams to adjust generation parameters to match specific project requirements.

Developer notes on architecture and usage

HauhauCS designed this release to offer stricter filter removal than standard alternatives.

"These are meant to be the best lossless uncensored models out there,"

said the developer on their project page. Users should keep their inference software updated since the underlying architecture arrived recently and requires modern compatibility patches.

Running the tool works best when context windows remain above one hundred thousand tokens. A short advice disclaimer might still appear at the end of some answers due to base training data, but the actual response generates fully.

You can explore the latest files, quantized variants, and setup documentation on Hugging Face.