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

huihui-ai Qwen 27B GGUF multimodal 262K ctx
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Response includes
  • classification m8
  • files 18
  • hub_downloads_all_time 3,839,611
  • author_summary 185 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=huihui-ai + is_gguf=1
  • M3 (huihui abliteration) wrapped in M8 (GGUF quantization)
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
Downloads · lifetime
3.8M
2.2M last 30d - active
Likes
1,270
Descendants
4
in 4 direct forks
Model age
8w ago
created 2026-08-16
Downloads over time
Now4.7M→from5.1K↑90,678%
01.7M3.4M5.1M5.1K on Aug 174.7M on Oct 11AugSepOct
Aug 17 → Oct 11 · 49 snapshots · spans 55 days

Genealogy 4 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.

Variants by this author 2 formats · 2.2M downloads combined

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

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 unsloth ternary 2-bit llama-cpp cuda metal

Related

Total size
289 GB
Files
18
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-10-10 04:51

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.
  • bitcoin:
  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
  • Support our work on Ko-fi!

README history 20 versions

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

  1. 2026-10-10Update README.md2ded9677.4 KB
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Discussions 31 threads

  1. 2026-10-09Request: Abliterate Underdog Saluki 27B, MTP keptopen5 💬#31
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  2. 2026-10-04PRЗделай так чтобы человек танцевалclosed2 💬#30
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  3. 2026-10-03PRНарисуй мне сексopen2 💬#29
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  4. 2026-10-01Tools calling broken?open1 💬#28
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  5. 2026-09-29Abliterated Swift-1.5 Qwen3.8-27B GSQ-RCOclosed26 💬#27
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  6. 2026-09-21A Strange IP Bugopen5 💬#26
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  7. 2026-09-20Is it possible to perform further ablation on Qwen3.8-27B-EfficientThink?closed1 💬#25
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  8. 2026-09-19Abliterated versions for the GSQ-RCO IQ2_S and IQ2_XSopen3 💬#24
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  9. 2026-09-17DW bf16 GGUFopen3 💬#23
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  10. 2026-09-17Abliterated byteshape Qwen3.8-27Bopen1 💬#22
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  11. 2026-09-11请求加入GSQ-RCO的IQ2_XS-mtp.gguf版本?open3 💬#21
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  12. 2026-09-10GGUF versions available via Torrentopen2 💬#20
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  13. 2026-09-09The newly added Huihui-Qwen3.8-27B-abliterated-GSQ-RCO is awesomeclosed7 💬#19
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  14. 2026-09-08Abliterated ISTA-DASLab Qwen3.8-27B-GSQ-RCO modelsopen10 💬#18
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  15. 2026-09-05Question about safetensors/bf16 (layers 23–51 ablated) downloadopen4 💬#17
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  16. 2026-09-03Unrealated: plan for qwen3.8 flash nextopen2 💬#16
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  17. 2026-08-31Praying for a UD-Q4_K_Mopen4 💬#15
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  18. 2026-08-31No MTP in UD-IQ2_Sopen3 💬#14
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  19. 2026-08-29Thank you for your hard workopen1 💬#13
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  20. 2026-08-28Evidence of Residual Refusalsopen3 💬#12
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  21. 2026-08-26我想知道Q8_0和Q8_K_XL哪个性能更好?哪个的MTP速度更快?open1 💬#11
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  22. 2026-08-25Kimi k3?open6 💬#10
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  23. 2026-08-24Request UD-IQ1_M ~open4 💬#9
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  24. 2026-08-23Can we get UD quants? (UD-Q2_K_XL / UD-Q3_K_XL / UD-Q4_K_XL)open3 💬#8
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  25. 2026-08-22why Huihui-Qwen3.8-27B-abliterated-Q8_0_L.gguf is bigger than unsloth Q8-XL?open2 💬#7
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  26. 2026-08-20Q8 Version low t/sopen1 💬#6
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  27. 2026-08-20Can we get Q6_K_XLopen5 💬#5
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  28. 2026-08-16MTP head weights corrupted by abliteration: --spec-type draft-mtp yields 0% acc…closed3 💬#4
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  29. 2026-08-16is it good for vibe coding?(virus,log stealer,etc)open7 💬#3
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  30. 2026-08-16unknown renderer "qwen3.8"closed4 💬#2
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  31. 2026-08-16Great workopen1 💬#1
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