Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive is a 35-billion-parameter large language model based on the Qwen2.5 architecture, created by HauhauCS, which has undergone aggressive fine-tuning to remove content restrictions. It is part of a category of models known as ‘uncensored’ or ‘de-aligned’ models, where the typical safety and content moderation filters applied by original model developers are significantly reduced or removed. The model is available for download and use, primarily through the Hugging Face platform.
What it is
This model is a derivative of the Qwen2.5 series of open-source language models developed by Alibaba’s Qwen team. The ‘A3B’ and ‘Aggressive’ designations in its name indicate that it has been subjected to an intensive fine-tuning process aimed at stripping away the built-in safety mechanisms and content moderation policies. This process, often referred to as ‘de-alignment,’ results in a model that is less likely to refuse prompts based on ethical or safety guidelines, making it a subject of interest for researchers studying model behavior and for applications requiring minimal content filtering.
The model supports multimodal inputs, as indicated by the requirement for a separate projection file (`mmproj`) in the usage example. It is distributed in a quantized format (Q4_K_P.gguf) to reduce computational resource requirements, allowing it to run on consumer-grade hardware. The aggressive fine-tuning approach differentiates it from the officially released Qwen models, which maintain standard alignment and safety protocols.
Key facts: Qwen3.6-35b-a3b-uncensored-hauhaucs-aggressive
| Attribute | Details |
| :— | :— |
| Developer | HauhauCS |
| License | apache-2.0 |
| Availability | Weights available on Hugging Face |
How it compares
Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive belongs to the category of uncensored language models, which are distinct from their officially released counterparts. Unlike the base Qwen2.5 models from Alibaba, which include safety filters to prevent the generation of harmful or inappropriate content, this model is designed to have those restrictions minimized. It is comparable to other community-made ‘uncensored’ variants of popular models like Llama or Mistral, where the primary differentiator is the relaxation of content policies rather than a fundamental architectural change.
FAQ
What does ‘uncensored’ mean for this model?
The term ‘uncensored’ indicates that the model has been fine-tuned to significantly reduce or remove the built-in safety filters and content moderation policies typically found in the original Qwen2.5 model. This means it is less likely to refuse to answer prompts that might be deemed sensitive, controversial, or unsafe by standard AI ethics guidelines.
How is this model intended to be used?
Based on its distribution on Hugging Face with an open-source license, the model is intended for research purposes, such as studying the behavior of de-aligned language models, testing robustness, and exploring content generation with minimal restrictions. Users are expected to employ it responsibly and in compliance with applicable laws and regulations.
What are the hardware requirements to run this model?
The model is provided in a quantized GGUF format (Q4_K_P), which significantly reduces its memory footprint compared to the full-precision version. This allows it to be run on consumer hardware with sufficient RAM, though the specific requirements for the 35-billion-parameter model are substantial and have not been officially disclosed by the creator.