language:
- en
- zh
library_name: transformers
license: mit
pipeline_tag: image-text-to-text
base_model: zai-org/GLM-5.3
tags: - abliterated
- uncensored
- huihui
- unsloth
- gguf
huihui-ai/Huihui-GLM-5.3-abliterated-GGUF
This is an uncensored version of zai-org/GLM-5.3 created with abliteration.
This ablation was performed entirely using llama.cpp's GGUF model, without relying on Transformers,
For the specific ablation method, please refer to cvector-generator.
Unsloth Patch Q2
The unsloth series come fromunsloth/GLM-5.3-GGUF
This time the Huihui-GLM-5.3-abliterated-GGUF quantized weights are not provided directly; you need to run the command yourself to apply the patch. For details,
Please refer to README-Unsloth.md in the patch-unsloth-Q2 directory.
The patch-Q2* here can patch UD-IQ1_M,UD-IQ1_S,UD-IQ2_M, and UD-Q2_K_XL in order to save space.
The patching program will automatically select the appropriate ablated weights based on the weights of the input quantized model. This way, You can control which layers can be ablated by setting --start-layer and --end-layer, and control which weights can be ablated by setting --ablate-experts., and obtain exactly the final model they want.
Two versions are available. If you don't need expert ablation, the smaller Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-1.gguf is sufficient. If you do need the ablated-experts variant, please use Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-2.gguf.
Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-2.gguf is still being uploaded. You can first test Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-1.gguf.
Supported abliterated weights
| Patch | Size | Supported abliterated weights | Supported values for ablate-experts |
|---|---|---|---|
| Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-1.gguf | 6.45GB | attn_output, ffn_down_shexp | 0, 1 |
| Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-2.gguf | 102.23GB | attn_output, ffn_down_shexp, ffn_down_exps | 0, 1, 2 |
Ablate-experts values
| Values | Abliterated weights | Ablation strength | Supported Patch |
|---|---|---|---|
| 0 | attn_output, | with warnings | Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-1.gguf, Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-2.gguf |
| 1 | attn_output, ffn_down_shexp | fewer warnings | Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-1.gguf, Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-2.gguf |
| 2 | attn_output, ffn_down_shexp, ffn_down_exps | no warnings | Huihui-GLM-5.3-abliterated-GGUF-patch-Q2-2.gguf |
** Ablation strength**
The ablation strength may also depend on the number of layers you choose to ablate.
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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