Huihui-GLM-5.2-abliterated-GGUF

This is an uncensored version of zai-org/GLM-5.2 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/GLM-5.2-GGUF. Some weights quantized in Q5_K and Q6_K will be converted to Q8_0. This time, the weights of the first 12 layers and all expert modules were not ablated, so the final weights will increase, but the change will not be significant. The UD-IQ1_M is only 3GB larger than the original.

Some weights quantized in Q5_K and Q6_K, Q8_0 will be converted to MXFP4 (UD-Q2_K_XL -> UD-Q2_K_MXFP4)

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-GLM-5.2-abliterated-GGUF --local-dir ./huihui-ai/Huihui-GLM-5.2-abliterated-GGUF --token xxx


llama-gguf-split --merge huihui-ai/Huihui-GLM-5.2-abliterated-GGUF/UD-IQ1_M/GLM-5.2-UD-IQ1_M-00001-of-00006.gguf huihui-ai/Huihui-GLM-5.2-abliterated-GGUF/GLM-5.2-UD-IQ1_M.gguf

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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