---

language:

• en
• zh

library_name: transformers

license: mit

pipeline_tag: image-text-to-text

base_model:

• zai-org/GLM-5.3-Flash

tags:

• abliterated
• uncensored
• huihui
• unsloth
• glm5_next

---

huihui-ai/Huihui-GLM-5.3-Flash-abliterated-GGUF

This is an uncensored version of zai-org/GLM-5.3-Flash 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.

Latest update

The latest version of llama.cpp now officially supports zai-org/GLM-5.3-Flash.

We have updated the first file of each quantized version, so you only need to download the first file.

Note

GGUFs come from unsloth/GLM-5.3-Flash-GGUF.

Only layers 15 to 35 (0-based indexing) have been ablated, while the other layers and all expert modules remain unablated.

llama.cpp

To run, please unslothai llama.cpp PR,

llama-cli -m huihui-ai/Huihui-GLM-5.3-Flash-abliterated-GGUF/UD-Q4_K_XL/GLM-5.3-Flash-UD-Q4_K_XL-00001-of-00006.gguf -c 262144

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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