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mradermacher/Huihui-Qwen3.5-27B-abliterated-i1-GGUF

mradermacher Qwen 27B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • benchmarks 11 entries
  • hub_downloads_all_time 25,907
  • author_summary 3324 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 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='huihui-ai/Huihui-Qwen3.5-27B-abliterated' (base is huihui-ai model (M3))
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.

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Downloads · lifetime
26K
2K last 30d - cooling
Likes
11
Model age
7mo ago
created 2026-02-28
Downloads over time
Now26.4K→from0↑0%
09.7K19.4K29K0 on Feb 2526.4K on Oct 11FebAprJunAugOct
Feb 25 → Oct 11 · 74 snapshots · spans 228 days

Benchmarks

Benchmark Score Source
Entertainment 1.6 UGI
Hazardous 2.9 UGI
Natural Intelligence 22.36 UGI
Political lean -24.2% UGI
Sensitive-Info 22.3 UGI
SocPol 2.4 UGI
UGI 44.87 UGI
Willingness (10) 9 UGI
W10-Adherence 10 UGI
W10-Direct 8 UGI
Writing 35.63 UGI

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.

Variants by this author 2 formats · 12K downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored en base_model:huihui-ai/Huihui-Qwen3.5-27B-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3.5-27B-abliterated license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
273 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-28 08:19

Files by quantization

Q6_K 1 file 20.6 GB
Huihui-Qwen3.5-27B-abliterated.i1-Q6_K.gguf 20.6 GB 7b8e6f85 download
Q5_K 2 files 35.5 GB
Huihui-Qwen3.5-27B-abliterated.i1-Q5_K_M.gguf 18.1 GB 07c0dc03 download
Huihui-Qwen3.5-27B-abliterated.i1-Q5_K_S.gguf 17.4 GB fae82542 download
Q4 2 files 30.4 GB
Huihui-Qwen3.5-27B-abliterated.i1-Q4_1.gguf 15.9 GB b379727c download
Huihui-Qwen3.5-27B-abliterated.i1-Q4_0.gguf 14.5 GB 6b7032e5 download
Q4_K 2 files 29.9 GB
Huihui-Qwen3.5-27B-abliterated.i1-Q4_K_M.gguf 15.4 GB 570f1e66 download
Huihui-Qwen3.5-27B-abliterated.i1-Q4_K_S.gguf 14.5 GB f7c52f73 download
IQ4 1 file 13.7 GB
Huihui-Qwen3.5-27B-abliterated.i1-IQ4_XS.gguf 13.7 GB 88f5d671 download
Q3_K 3 files 36.7 GB
Huihui-Qwen3.5-27B-abliterated.i1-Q3_K_L.gguf 13.1 GB fc9450c3 download
Huihui-Qwen3.5-27B-abliterated.i1-Q3_K_M.gguf 12.4 GB a6daf6c5 download
Huihui-Qwen3.5-27B-abliterated.i1-Q3_K_S.gguf 11.2 GB bb102734 download
IQ3 4 files 43.8 GB
Huihui-Qwen3.5-27B-abliterated.i1-IQ3_M.gguf 11.7 GB 8d4e817e download
Huihui-Qwen3.5-27B-abliterated.i1-IQ3_S.gguf 11.3 GB a705554e download
Huihui-Qwen3.5-27B-abliterated.i1-IQ3_XS.gguf 10.8 GB 465bc956 download
Huihui-Qwen3.5-27B-abliterated.i1-IQ3_XXS.gguf 10.00 GB ffc7894e download
Q2_K 2 files 18.4 GB
Huihui-Qwen3.5-27B-abliterated.i1-Q2_K.gguf 9.43 GB 8209b72d download
Huihui-Qwen3.5-27B-abliterated.i1-Q2_K_S.gguf 9.00 GB cfb99bdf download
IQ2 4 files 31.8 GB
Huihui-Qwen3.5-27B-abliterated.i1-IQ2_M.gguf 8.75 GB 5bf57bec download
Huihui-Qwen3.5-27B-abliterated.i1-IQ2_S.gguf 8.08 GB d4e2756c download
Huihui-Qwen3.5-27B-abliterated.i1-IQ2_XS.gguf 7.83 GB 137fd9f2 download
Huihui-Qwen3.5-27B-abliterated.i1-IQ2_XXS.gguf 7.14 GB 1a48a2a0 download
IQ1 2 files 12.1 GB
Huihui-Qwen3.5-27B-abliterated.i1-IQ1_M.gguf 6.30 GB 0043210f download
Huihui-Qwen3.5-27B-abliterated.i1-IQ1_S.gguf 5.80 GB 771f13e8 download
Auxiliary files 3 files 13.0 MB
Huihui-Qwen3.5-27B-abliterated.imatrix.gguf 13.0 MB 599ef03c download
README.md 6.65 KB 3b2601be download
.gitattributes 3.39 KB d694c24a download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3.5-27B-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3.5-27B-abliterated

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3.5-27B-abliterated-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 6.3 for the desperate
GGUF i1-IQ1_M 6.9 mostly desperate
GGUF i1-IQ2_XXS 7.8
GGUF i1-IQ2_XS 8.5
GGUF i1-IQ2_S 8.8
GGUF i1-IQ2_M 9.5
GGUF i1-Q2_K_S 9.8 very low quality
GGUF i1-Q2_K 10.2 IQ3_XXS probably better
GGUF i1-IQ3_XXS 10.8 lower quality
GGUF i1-IQ3_XS 11.7
GGUF i1-Q3_K_S 12.2 IQ3_XS probably better
GGUF i1-IQ3_S 12.2 beats Q3_K*
GGUF i1-IQ3_M 12.7
GGUF i1-Q3_K_M 13.4 IQ3_S probably better
GGUF i1-Q3_K_L 14.1 IQ3_M probably better
GGUF i1-IQ4_XS 14.8
GGUF i1-Q4_0 15.6 fast, low quality
GGUF i1-Q4_K_S 15.7 optimal size/speed/quality
GGUF i1-Q4_K_M 16.6 fast, recommended
GGUF i1-Q4_1 17.2
GGUF i1-Q5_K_S 18.8
GGUF i1-Q5_K_M 19.5
GGUF i1-Q6_K 22.2 practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 3 versions

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

  1. 2026-02-28auto-patch README.mdb2a826d6.6 KB
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  2. 2026-02-28auto-patch README.mdeb9a9f64.8 KB
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  3. 2026-02-28uploaded from nico1c21bfc0486 B
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