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xleeelx/Huihui-Qwen3.8-27B-abliterated-GGUF

xleeelx Qwen 27B GGUF multimodal 262K ctx
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Response includes
  • classification m8
  • files 18
  • hub_downloads_all_time 945
  • author_summary 1 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
945
543 last 30d - active
Likes
0
Model age
7w ago
created 2026-08-19
Downloads over time
Now1.1K→from466↑144%
4336899461.2K466 on Aug 191.1K on Oct 111.1K on Oct 9AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 days

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.

Metadata

License
apache-2.0
Quantizations
BF16 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf abliterated uncensored huihui qwen3 image-text-to-text base_model:Qwen/Qwen3.8-27B base_model:quantized:Qwen/Qwen3.8-27B license:apache-2.0 endpoints_compatible region:us

Related

Total size
289 GB
Files
18
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-08-19 01:25

Files by quantization

BF16 2 files 51.8 GB
Huihui-Qwen3.8-27B-abliterated-bf16.gguf 50.9 GB a64a5e54 download
mmproj-model-bf16.gguf 888 MB c9a09064 download
Q8_0 2 files 63.2 GB
Huihui-Qwen3.8-27B-abliterated-Q8_0_L.gguf 36.1 GB ac47d8c6 download
Huihui-Qwen3.8-27B-abliterated-Q8_0.gguf 27.1 GB 427b9416 download
Q6_K 2 files 44.1 GB
Huihui-Qwen3.8-27B-abliterated-Q6_K_L.gguf 23.2 GB 20b1214a download
Huihui-Qwen3.8-27B-abliterated-Q6_K.gguf 20.9 GB a5c15951 download
Q5_K 2 files 39.5 GB
Huihui-Qwen3.8-27B-abliterated-Q5_K_L.gguf 21.3 GB 03b97b83 download
Huihui-Qwen3.8-27B-abliterated-Q5_K.gguf 18.2 GB 91745385 download
Q4_K 2 files 35.1 GB
Huihui-Qwen3.8-27B-abliterated-Q4_K_L.gguf 19.5 GB 6d9ee93a download
Huihui-Qwen3.8-27B-abliterated-Q4_K.gguf 15.7 GB 6c2c13ce download
Q3_K 2 files 30.0 GB
Huihui-Qwen3.8-27B-abliterated-Q3_K_L.gguf 17.4 GB 127edb05 download
Huihui-Qwen3.8-27B-abliterated-Q3_K.gguf 12.6 GB a82fe31f download
Q2_K 2 files 26.2 GB
Huihui-Qwen3.8-27B-abliterated-Q2_K_L.gguf 16.0 GB 368f0f54 download
Huihui-Qwen3.8-27B-abliterated-Q2_K.gguf 10.1 GB c4a5e431 download
Auxiliary files 4 files 6.88 KB
README.md 4.11 KB 7cdd65bf download
.gitattributes 2.53 KB e9d18d8f download
Qwen3.8-27B-tensor_types-Q6_K_L.txt 123 B 34440335 download
Qwen3.8-27B-tensor_types-Q8_0_L.txt 123 B b06f0153 download

README current version from Hugging Face


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

  • Qwen/Qwen3.8-27B
    tags:
  • abliterated
  • uncensored
  • huihui
  • qwen3

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

This is an uncensored version of Qwen/Qwen3.8-27B 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

The first 15 layers were retained without ablation. MTP and visual has not been modified.

We have already converted the weights (token_embd,output,ffn_down,ssm_out,attn_output) that need to be ablated in the versions below Q8_0 from Q2_K, Q3_K, Q4_K, Q5_K, and Q6_K to Q8_0 to improve response quality, and changed the filename to K_L.

In the Q8_0 quantized version, we changed the Q8_0 weights (token_embd,output,ffn_down,ssm_out,attn_output) targeted for ablation to BF16 and renamed the file to Q8_0_L.

This is not a standard quantization, so you might find that Q2_K_L is larger than Q3_K and Q4_K.

Specific Quantification Method

Some people may misunderstand. The specific quantification method is as follows.

Q2_K_L - Q6_K_L

Qwen3.8-27B-tensor_types-Q6_K_L.txt

llama-quantize \
  --allow-requantize \
  --tensor-type-file huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Qwen3.8-27B-tensor_types-Q6_K_L.txt \
  huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Huihui-Qwen3.8-27B-abliterated-bf16.gguf \
  huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Huihui-Qwen3.8-27B-abliterated-Q6_K_L.gguf Q6_K

Q8_0_L

Qwen3.8-27B-tensor_types-Q6_K_L.txt

llama-quantize \ 
  --allow-requantize \
  --tensor-type-file huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Qwen3.8-27B-tensor_types-Q8_0_L.txt \
  huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Huihui-Qwen3.8-27B-abliterated-bf16.gguf \ 
  huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Huihui-Qwen3.8-27B-abliterated-Q8_0_L.gguf Q8_0

ollama

Please use the latest version of ollama

You can use huihui_ai/Qwen3.8-abliterated directly,

ollama run huihui_ai/Qwen3.8-abliterated

llama.cpp

Use the latest llama.cpp,

llama-cli -m huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Huihui-Qwen3.8-27B-abliterated-Q4_K.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.

Donation

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
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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. 2026-08-19Duplicate from huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF1a5542b4.1 KB
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