QWEasd250342/huihui-ai_Qwen3-14B-abliterated-GGUF

quantized_by: bartowski
pipeline_tag: text-generation
extra_gated_prompt: '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.'
base_model: huihui-ai/Qwen3-14B-abliterated
license: apache-2.0
tags:

• chat
• abliterated
• uncensored
  license_link: https://huggingface.co/Qwen/Qwen3-14B/blob/main/LICENSE
  base_model_relation: quantized

Llamacpp imatrix Quantizations of Qwen3-14B-abliterated by huihui-ai

Using llama.cpp release b5284 for quantization.

Original model: https://huggingface.co/huihui-ai/Qwen3-14B-abliterated

All quants made using imatrix option with dataset from here

Run them in LM Studio

Run them directly with llama.cpp, or any other llama.cpp based project

Prompt format

No chat template specified so default is used. This may be incorrect, check original model card for details.

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Download a file (not the whole branch) from below:

Embed/output weights

Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.

Downloading using huggingface-cli

pip install -U "huggingface_hub[cli]"

huggingface-cli download bartowski/huihui-ai_Qwen3-14B-abliterated-GGUF --include "huihui-ai_Qwen3-14B-abliterated-Q4_K_M.gguf" --local-dir ./

huggingface-cli download bartowski/huihui-ai_Qwen3-14B-abliterated-GGUF --include "huihui-ai_Qwen3-14B-abliterated-Q8_0/*" --local-dir ./

ARM/AVX information

Previously, you would download Q4_0_4_4/4_8/8_8, and these would have their weights interleaved in memory in order to improve performance on ARM and AVX machines by loading up more data in one pass.

Now, however, there is something called "online repacking" for weights. details in this PR. If you use Q4_0 and your hardware would benefit from repacking weights, it will do it automatically on the fly.

As of llama.cpp build b4282 you will not be able to run the Q4_0_X_X files and will instead need to use Q4_0.

Additionally, if you want to get slightly better quality for , you can use IQ4_NL thanks to this PR which will also repack the weights for ARM, though only the 4_4 for now. The loading time may be slower but it will result in an overall speed incrase.

Which file should I choose?

Credits

Thank you kalomaze and Dampf for assistance in creating the imatrix calibration dataset.

Thank you ZeroWw for the inspiration to experiment with embed/output.

Thank you to LM Studio for sponsoring my work.

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski