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taurusduan/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF

taurusduan Qwen GGUF multimodal 
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/taurusduan%2FHuihui-Qwen3.8-Flash-Next-abliterated-GGUF"
Response includes
  • classification m-uncensored
  • files 4
  • author_summary 14 models
  • readme_text full
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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 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? →
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Model age
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created 2026-09-30

Genealogy 0 direct forks

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

Qwen/Qwen3.8-Flash-Next this lineage
taurusduan/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF

Metadata

License
other
Tags
transformers gguf abliterated uncensored huihui qwen3 unsloth image-text-to-text base_model:Qwen/Qwen3.8-Flash-Next base_model:quantized:Qwen/Qwen3.8-Flash-Next license:other endpoints_compatible

Related

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qwen3.8-27b-abliterated-3.69bpw-12GB-MTP.gguf 20K Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF 10K Qwen3.8-9B-Distill-uncensored-heretic-GGUF 3K Qwen3.8-27B-EfficientThink-Uncensored-K3-Opus5-Grok4.6-GPT5.6Sol-SFT-SimPO-DFlash2-GGUF 3K Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive 2K
Same base model
orcarouter/Qwen3.8-Flash-Next-Uncensored-FP8 16K dealignai/Qwen3.8-Flash-Next-ABLITERATED-NVFP4 8K butterf1ying/Qwen3.8-Flash-Next-Uncensored-REAP288-MTP-MLX-4bit 5K him0413/Qwen3.8-Flash-Next-Uncensored-Q4_K_M-MTP 4K grant-ai/Qwen3.8-Flash-Next-Abliterated-MTPLX-4bit 3K
Total size
0 B
Files
4
Quantizations
2
Registered
2026-09-30 10:58
Last updated on HF
2026-09-30 10:06
Source huggingface.co/taurusduan/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF ↗ Base model Qwen/Qwen3.8-Flash-Next ↗

Files by quantization

BF16 1 file 866 MB
mmproj-model-bf16.gguf 866 MB dbac7334 download
Auxiliary files 3 files 8.75 KB
LICENSE 3.16 KB 9557a896 download
.gitattributes 3.08 KB f0365df1 download
README.md 2.51 KB abc1504c download

README current version from Hugging Face

library_name: transformers
license: other
license_name: qwen-community-1.0
license_link: LICENSE
pipeline_tag: image-text-to-text
base_model:

  • Qwen/Qwen3.8-Flash-Next
    tags:
  • abliterated
  • uncensored
  • huihui
  • qwen3
  • unsloth

huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF

This is an uncensored version of Qwen/Qwen3.8-Flash-Next 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.

llama.cpp

GGUFs come from unsloth/Qwen3.8-Flash-Next-GGUF

Use the latest llama.cpp,

llama-cli -m huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF/UD-Q4_K_XL/Qwen3.8-Flash-Next-UD-Q4_K_XL-00001-of-00004.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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