Huihui-Kimi-K2.7-Code-abliterated-GGUF

huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF

This is an uncensored version of moonshotai/Kimi-K2.7-Code 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 We will directly perform ablation on the GGUF files from unsloth/Kimi-K2.7-Code-GGUF. Some weights quantized in Q5_K and Q6_K will be converted to MXFP4. This time, the weights of layers <16 and >36 and all expert modules were not ablated.

Download and merge

Use the llama.cpp split program to merge model (llama-gguf-split needs to be compiled.),

huggingface-cli download huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF --local-dir ./huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF --token xxx


llama-gguf-split --merge huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF/UD-IQ1_M-MXFP4/Kimi-K2.7-Code-UD-IQ1_M-00001-of-00008.gguf huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF/Kimi-K2.7-Code-UD-IQ1_M.gguf

llama.cpp

Use the latest llama.cpp,

llama-cli -m huihui-ai/Huihui-Kimi-K2.7-Code-abliterated-GGUF/UD-IQ1_M-MXFP4/Kimi-K2.7-Code-UD-IQ1_M-00001-of-00008.gguf -c 262144 --chat-template-kwargs "{\"enable_thinking\":true, \"preserve_thinking\":true}" --reasoning-format deepseek --temp 1.0

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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