---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.6-35B-A3B/blob/main/LICENSE
pipeline_tag: image-text-to-text
base_model:
- Qwen/Qwen3.6-35B-A3B
tags:
- abliterated
- uncensored
---

# huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated


This is an uncensored version of [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
I made GGUF's in Q8 for almost perfect full quality and MXFP4 to fit on a single RTX 3090 or 4090
You can also export GGML_CUDA_ENABLE_UNIFIED_MEMORY=1 to enable unified memory on linux with Nvidia 
Both model quants tested with mmproj-BF16.gguf for multi-modal image use.

# ollama or llama.cpp latest version

```
llama.cpp/build/bin/llama-server \
  -m Qwen3.6-35b-abliterated-Q8_0.gguf \
  --mmproj mmproj-BF16.gguf \
  --host 0.0.0.0 \
  --port $1 \
  --api-key XXX \
  --flash-attn on \
  --cache-type-k q4_0 \
  --cache-type-v q4_0\
  --n-gpu-layers 99 \
  --split-mode layer \
  --no-mmap \
  --temp 0.6 \
  --top-p 0.95 \
  --top-k 20 \
  --repeat-penalty 1.0 \
  --jinja \
  -c 256000 \
  -b 2048 \
  -ub 2048 \
  --parallel 1 
```

### Usage Warnings


 - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

 - **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

 - **Legal and Ethical Responsibilities**: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

 - **Research and Experimental Use**: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

 - **Monitoring and Review Recommendations**: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

 - **No Default Safety Guarantees**: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.


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