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

huihui ai/Huihui Qwen3.8 27B abliterated GGUF This is an uncensored version of Qwen/Qwen3.8 27B https://huggingface.co/Qwen/Qwen3.8 27B created with abliterati…

transformersggufabliterateduncensoredhuihuiqwen3image-text-to-textbase_model:Qwen/Qwen3.8-27Bbase_model:quantized:Qwen/Qwen3.8-27Blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~888.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
635,416
Likes
261
Pipeline
image-text-to-text
Author

Repository Files & Downloads

14 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Huihui-Qwen3.8-27B-abliterated-Q2_K.ggufGGUFQ2_K10.12 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q2_K_L.ggufGGUFQ2_K_L16.04 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q3_K.ggufGGUFQ3_K12.57 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q3_K_L.ggufGGUFQ3_K_L17.40 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q4_K.ggufGGUFQ4_K15.66 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q4_K_L.ggufGGUFQ4_K_L19.48 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q5_K.ggufGGUFQ5_K18.19 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q5_K_L.ggufGGUFQ5_K_L21.30 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q6_K.ggufGGUFQ6_K20.89 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q6_K_L.ggufGGUFQ6_K_L23.23 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q8_0.ggufGGUFQ8_027.05 GBDownload
Huihui-Qwen3.8-27B-abliterated-Q8_0_L.ggufGGUFQ8_0_L36.12 GBDownload
Huihui-Qwen3.8-27B-abliterated-bf16.ggufGGUFBF1650.90 GBDownload
mmproj-model-bf16.ggufGGUFBF16888.0 MBDownload

Model Details

Model IDhuihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF
Authorhuihui-ai
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelQwen/Qwen3.8-27B
Last modified2026-08-23T03:58:42.000Z

Model README

---

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-Q8_0_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.

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