andyjack/Huihui-Qwen3.5-4B-abliterated-GGUF overview

---

library_name: transformers

license: apache-2.0

license_link: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE

pipeline_tag: image-text-to-text

base_model:

• Qwen/Qwen3.6-27B

tags:

• abliterated
• uncensored

---

This is an uncensored version of Qwen/Qwen3.5-4B created with abliteration (see 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 needed an uncensored multi-modal GGUF in Q4_K_M to fit on a single Radeon R9 M295X / M390X with 4GB of VRAM.

This model was tested with llama.cpp compiled with VULKAN driver

cmake -B build -DGGML_VULKAN=ON -DCMAKE_BUILD_TYPE=Release

The model quant was tested with Huihui-Qwen3.5-4B-mmproj-F16.gguf for multi-modal image use.

It generate 12 tokens/sec with the mmproj loaded and 25 tokens/sec without mmproj loaded.

Testing performed on a graphics card released in 2014.

llama.cpp

llama.cpp/build/bin/llama-server \
  -m Huihui-Qwen3.5-4B-Q4_K_M.gguf \
  --mmproj Huihui-Qwen3.5-4B-mmproj-F16.gguf \
  --host 0.0.0.0 \
  --port 11434 \
  --flash-attn on \
  --cache-type-k q4_0 \
  --cache-type-v q4_0 \
  --n-gpu-layers 99 \
  --temp 0.7 \
  --top-p 0.95 \
  --top-k 20 \
  --ctx-size = 57344

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 nor I bear any responsibility for any consequences arising from its use.

Donation

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