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huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF

huihui-ai 27B multimodal
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
How we label → About M-U →
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Fromhuihui-ai (2026) ↗
Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
What is a refusal direction? → Read the paper ↗
Downloads · 30-day
0
Likes
3
Model age
today
created 2026-10-14

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.

nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 this lineage
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF

Variants by this author 2 formats · 266 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Tags
transformers abliterated uncensored huihui qwen3 imatrix image-text-to-text base_model:nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 base_model:finetune:nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 license:apache-2.0 endpoints_compatible region:us

Related

Other by huihui-ai
Huihui-Qwen3.8-27B-abliterated-GGUF 2.3M Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF 344K Huihui-Qwen3.8-Flash-Next-abliterated-GGUF 340K Qwen2.5-VL-7B-Instruct-abliterated 297K Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF 163K
Same base model
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated 266 robertbschuette/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated 15
Total size
0 B
Files
2
Quantizations
1
Registered
2026-10-14 05:59
Last updated on HF
2026-10-14 06:23
Source huggingface.co/huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF ↗ Base model nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 ↗

Files by quantization

Auxiliary files 2 files 7.83 KB
README.md 6.35 KB 238e6ef0 download
.gitattributes 1.48 KB a6344aac download

README current version from Hugging Face

library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
base_model:

  • nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2
    tags:
  • abliterated
  • uncensored
  • huihui
  • qwen3
  • imatrix

huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF

This is an uncensored version of nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 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

Only layers 2 to 52 have been ablated.

llama.cpp

Use the latest llama.cpp,

llama-cli -m huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf -c 262144

GGUF

  1. download llama.cpp-b11540

  2. download GGUF

hf download huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF --local-dir ./huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF
  1. llama-imatrix
    calibration1.txt, calibration2.txt, calibration3.txt come from eaddario/imatrix-calibration
llama-imatrix -m huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-bf16.gguf -f huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/calibration3.txt -o huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/abliterated-imatrix3.gguf --chunk 512 --parse-special -b 2048 --no-ppl
  1. llama-quantize
llama-quantize --allow-requantize --tensor-type-file huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/tensor-type-allocation-IQ3_S.txt --imatrix huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/abliterated-imatrix3.gguf huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-bf16.gguf huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf Q3_K
  1. llama-perplexity
llama-perplexity -m huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf -c 8192 -b 2048 -ctk bf16 -ctv bf16 -f huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-GGUF/calibration2.txt
  1. llama-perplexity
model calibration perplexity PPL Gap
nerkyor/Qwen3.8-27B-Coder390-EfficientThink.gguf calibration1.txt PPL = 4.1744 +/- 0.00925 + 0
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-bf16.gguf calibration1.txt PPL = 4.1588 +/- 0.00916 - 0.0156 + 0
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S1.gguf calibration1.txt calibration1.txt PPL = 4.1922 +/- 0.00928 + 0.0178 + 0.0334
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S2.gguf calibration2.txt calibration1.txt PPL = 4.1864 +/- 0.00926 + 0.0120 + 0.0276
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf calibration3.txt calibration1.txt PPL = 4.1851 +/- 0.00925 + 0.0107 + 0.0263

nerkyor/Qwen3.8-27B-Coder390-EfficientThink.gguf | | calibration2.txt | PPL = 3.8816 +/- 0.00677 | + 0
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-bf16.gguf | | calibration2.txt | PPL = 3.8468 +/- 0.00664 | - 0.0348 + 0
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S1.gguf | calibration1.txt | calibration2.txt | PPL = 3.8547 +/- 0.00665 | - 0.0269 + 0.0079
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S2.gguf | calibration2.txt | calibration2.txt | PPL = 3.8495 +/- 0.00664 | - 0.0321 + 0.0027
huihui-ai/Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-IQ3_S3.gguf | calibration3.txt | calibration2.txt | PPL = 3.8458 +/- 0.00662 | - 0.0358 - 0.0010

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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README history 3 versions

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

  1. 2026-10-14Update README.md577cbb84.4 KB
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  2. 2026-10-14Update README.md22308a54.4 KB
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  3. 2026-10-14Create README.md32ea1652.7 KB
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