← back to catalog · registered 2026-08-22 13:56

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

mradermacher Qwen 27B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 23,348
  • 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 direct removal 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='wangzhang/Qwen3.5-27B-abliterated' (base has 'abliterated' marker, assume M1 default)
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
23K
5K last 30d - stable
Likes
0
Model age
6mo ago
created 2026-04-08
Downloads over time
Now27.3K→from13.4K↑103%
12.7K18.1K23.4K28.7K13.4K on Apr 1527.3K on Oct 12AprMayJunJulAugSepOct
Apr 15 → Oct 12 · 66 snapshots · spans 180 days

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 · 6K downloads combined

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

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterix uncensored decensored abliterated en base_model:wangzhang/Qwen3.5-27B-abliterated base_model:quantized:wangzhang/Qwen3.5-27B-abliterated license:apache-2.0 endpoints_compatible region:us

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-30 13:43

Files by quantization

Q6_K 1 file 20.6 GB
Qwen3.5-27B-abliterated.i1-Q6_K.gguf 20.6 GB 3dea4bdc download
Q5_K 2 files 35.3 GB
Qwen3.5-27B-abliterated.i1-Q5_K_M.gguf 17.9 GB 59c96a7f download
Qwen3.5-27B-abliterated.i1-Q5_K_S.gguf 17.4 GB 6a57071f download
Q4 2 files 30.4 GB
Qwen3.5-27B-abliterated.i1-Q4_1.gguf 15.9 GB 823c24b9 download
Qwen3.5-27B-abliterated.i1-Q4_0.gguf 14.5 GB f7245fee download
Q4_K 2 files 29.9 GB
Qwen3.5-27B-abliterated.i1-Q4_K_M.gguf 15.4 GB 612e4e54 download
Qwen3.5-27B-abliterated.i1-Q4_K_S.gguf 14.5 GB d80931a4 download
IQ4 1 file 14.0 GB
Qwen3.5-27B-abliterated.i1-IQ4_XS.gguf 14.0 GB 53420283 download
Q3_K 3 files 37.0 GB
Qwen3.5-27B-abliterated.i1-Q3_K_L.gguf 13.4 GB 61840be5 download
Qwen3.5-27B-abliterated.i1-Q3_K_M.gguf 12.4 GB 75aa1ad5 download
Qwen3.5-27B-abliterated.i1-Q3_K_S.gguf 11.2 GB 7a94bdba download
IQ3 4 files 44.8 GB
Qwen3.5-27B-abliterated.i1-IQ3_M.gguf 11.7 GB f8f9858b download
Qwen3.5-27B-abliterated.i1-IQ3_S.gguf 11.6 GB 7c2170eb download
Qwen3.5-27B-abliterated.i1-IQ3_XS.gguf 11.1 GB 10a9cb83 download
Qwen3.5-27B-abliterated.i1-IQ3_XXS.gguf 10.4 GB 260c40d9 download
Q2_K 2 files 19.5 GB
Qwen3.5-27B-abliterated.i1-Q2_K.gguf 9.98 GB 95582c5e download
Qwen3.5-27B-abliterated.i1-Q2_K_S.gguf 9.54 GB a771eecf download
IQ2 4 files 34.4 GB
Qwen3.5-27B-abliterated.i1-IQ2_M.gguf 9.32 GB 946d75bc download
Qwen3.5-27B-abliterated.i1-IQ2_S.gguf 8.72 GB 126f3e34 download
Qwen3.5-27B-abliterated.i1-IQ2_XS.gguf 8.47 GB e64baf25 download
Qwen3.5-27B-abliterated.i1-IQ2_XXS.gguf 7.85 GB e8d15341 download
IQ1 2 files 13.8 GB
Qwen3.5-27B-abliterated.i1-IQ1_M.gguf 7.11 GB 556c1ca8 download
Qwen3.5-27B-abliterated.i1-IQ1_S.gguf 6.66 GB 00488922 download
Auxiliary files 3 files 13.0 MB
Qwen3.5-27B-abliterated.imatrix.gguf 13.0 MB acc21fe2 download
README.md 6.07 KB a4f99b5c download
.gitattributes 3.15 KB 51ae8468 download

README current version from Hugging Face


base_model: wangzhang/Qwen3.5-27B-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterix
  • uncensored
  • decensored
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/wangzhang/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/Qwen3.5-27B-abliterated-GGUF

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 7.2 for the desperate
GGUF i1-IQ1_M 7.7 mostly desperate
GGUF i1-IQ2_XXS 8.5
GGUF i1-IQ2_XS 9.2
GGUF i1-IQ2_S 9.5
GGUF i1-IQ2_M 10.1
GGUF i1-Q2_K_S 10.3 very low quality
GGUF i1-Q2_K 10.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 11.3 lower quality
GGUF i1-IQ3_XS 12.1
GGUF i1-Q3_K_S 12.2 IQ3_XS probably better
GGUF i1-IQ3_S 12.5 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 14.4 IQ3_M probably better
GGUF i1-IQ4_XS 15.2
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 19.3
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 6 versions

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

  1. 2026-08-30auto-patch README.md7c552996.1 KB
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  2. 2026-04-09auto-patch README.mde8fee396.1 KB
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  3. 2026-04-09auto-patch README.md8e79e5e5.9 KB
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  4. 2026-04-09auto-patch README.md153f1ee5 KB
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  5. 2026-04-08auto-patch README.md0f2689f3.5 KB
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  6. 2026-04-08uploaded from rich13ff3f3c479 B
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