← back to catalog · registered 2026-08-22 13:56

eadx/Huihui-GLM-5.2-abliterated-GGUF

eadx Glm GGUF MoE 1.0M ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/eadx%2FHuihui-GLM-5.2-abliterated-GGUF"
Response includes
  • classification m8
  • files 2
  • benchmarks 11 entries
  • hub_downloads_all_time 289
  • author_summary 12 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
289
54 last 30d - stable
Likes
1
Model age
3mo ago
created 2026-06-30
Downloads over time
Now311→from173↑80%
166219272325173 on Jul 1311 on Oct 11JulAugSepOct
Jul 1 → Oct 11 · 54 snapshots · spans 102 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 5 UGI
Hazardous 1.8 UGI
Natural Intelligence 54.88 UGI
Political lean -12.7% UGI
Sensitive-Info 41.67 UGI
SocPol 5.1 UGI
UGI 29.44 UGI
Willingness (10) 0.5 UGI
W10-Adherence 0 UGI
W10-Direct 1 UGI
Writing 61.21 UGI

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
mit
Languages
en zh
Tags
transformers gguf glm_moe_dsa unsloth abliterated uncensored GGUF huihui text-generation en zh base_model:zai-org/GLM-5.2

Related

Total size
0 B
Files
2
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-30 01:35

Files by quantization

Auxiliary files 2 files 7.25 KB
README.md 4.54 KB 3b0240bb download
.gitattributes 2.70 KB 1ec88e02 download

README current version from Hugging Face


language:

  • en
  • zh
    library_name: transformers
    license: mit
    pipeline_tag: text-generation
    base_model:
  • zai-org/GLM-5.2
    tags:
  • glm_moe_dsa
  • unsloth
  • abliterated
  • uncensored
  • GGUF
  • huihui

extra_gated_prompt: >-
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.

huihui-ai/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.

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.

Donation

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README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-06-30Duplicate from huihui-ai/Huihui-GLM-5.2-abliterated-GGUFfb32e1f4.5 KB
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