library_name: transformers license: apache-2.0 pipeline_tag: image-text-to-text base_model:

• nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 tags:
• abliterated
• uncensored
• huihui
• qwen3
• imatrix

huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF

This is an uncensored version of nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 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.

Note

Only layers 2 to 52 have been ablated.

llama.cpp

Use the latest llama.cpp,

llama-cli -m huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf -c 262144

GGUF

1. download llama.cpp-b11540

2. download GGUF

hf download huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF --local-dir ./huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF

3. llama-imatrix calibration1.txt, calibration2.txt, calibration3.txt come from eaddario/imatrix-calibration

llama-imatrix -m huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-bf16.gguf -f huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/calibration3.txt -o huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/abliterated-imatrix3.gguf --chunk 512 --parse-special -b 2048 --no-ppl

4. llama-quantize

llama-quantize --allow-requantize --tensor-type-file huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/tensor-type-allocation-IQ3_S.txt --imatrix huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/abliterated-imatrix3.gguf huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-bf16.gguf huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf Q3_K

5. llama-perplexity

llama-perplexity -m huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf -c 8192 -b 2048 -ctk bf16 -ctv bf16 -f huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/calibration2.txt

6. llama-perplexity (calibration1.txt)

7. llama-perplexity (calibration2.txt)

8. calibration datasets

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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