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mradermacher/Qwen3.5-9B-abliterated-i1-GGUF

mradermacher Qwen 9B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 21,011
  • author_summary 3333 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/Qwen3.5-9B-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
21K
1K last 30d - cooling
Likes
3
Model age
7mo ago
created 2026-03-11
Downloads over time
Now21.7K→from4.9K↑342%
4.1K10.5K16.9K23.3K4.9K on Mar 1121.7K on Oct 13MarAprMayJunJulAugSepOct
Mar 11 → Oct 13 · 73 snapshots · spans 216 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 · 20K 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 abliterix uncensored decensored abliterated en base_model:wangzhang/Qwen3.5-9B-abliterated base_model:quantized:wangzhang/Qwen3.5-9B-abliterated license:apache-2.0 endpoints_compatible region:us

Related

Total size
100 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-09-01 01:37

Files by quantization

Q6_K 1 file 6.85 GB
Qwen3.5-9B-abliterated.i1-Q6_K.gguf 6.85 GB 1367cd5a download
Q5_K 2 files 11.9 GB
Qwen3.5-9B-abliterated.i1-Q5_K_M.gguf 6.07 GB e839cd12 download
Qwen3.5-9B-abliterated.i1-Q5_K_S.gguf 5.87 GB 20902150 download
Q4 2 files 10.4 GB
Qwen3.5-9B-abliterated.i1-Q4_1.gguf 5.41 GB 4c9daf18 download
Qwen3.5-9B-abliterated.i1-Q4_0.gguf 4.96 GB fe5a1c81 download
Q4_K 2 files 10.2 GB
Qwen3.5-9B-abliterated.i1-Q4_K_M.gguf 5.24 GB 17bd312c download
Qwen3.5-9B-abliterated.i1-Q4_K_S.gguf 4.97 GB 48eb7e8b download
IQ4 2 files 9.67 GB
Qwen3.5-9B-abliterated.i1-IQ4_NL.gguf 4.95 GB 3765178f download
Qwen3.5-9B-abliterated.i1-IQ4_XS.gguf 4.72 GB 9fd085cd download
Q3_K 3 files 12.8 GB
Qwen3.5-9B-abliterated.i1-Q3_K_L.gguf 4.49 GB b2638174 download
Qwen3.5-9B-abliterated.i1-Q3_K_M.gguf 4.30 GB 7e2b068b download
Qwen3.5-9B-abliterated.i1-Q3_K_S.gguf 3.97 GB 73f3460c download
IQ3 4 files 15.5 GB
Qwen3.5-9B-abliterated.i1-IQ3_M.gguf 4.11 GB 8e2b47c3 download
Qwen3.5-9B-abliterated.i1-IQ3_S.gguf 3.97 GB 9c862e06 download
Qwen3.5-9B-abliterated.i1-IQ3_XS.gguf 3.85 GB 007752dd download
Qwen3.5-9B-abliterated.i1-IQ3_XXS.gguf 3.53 GB 59e7428b download
Q2_K 2 files 6.66 GB
Qwen3.5-9B-abliterated.i1-Q2_K.gguf 3.39 GB 88cca2f9 download
Qwen3.5-9B-abliterated.i1-Q2_K_S.gguf 3.27 GB e5014328 download
IQ2 4 files 11.7 GB
Qwen3.5-9B-abliterated.i1-IQ2_M.gguf 3.18 GB 1ce95dd6 download
Qwen3.5-9B-abliterated.i1-IQ2_S.gguf 2.99 GB 65e75289 download
Qwen3.5-9B-abliterated.i1-IQ2_XS.gguf 2.85 GB 317720d1 download
Qwen3.5-9B-abliterated.i1-IQ2_XXS.gguf 2.66 GB 360bd96f download
IQ1 2 files 4.70 GB
Qwen3.5-9B-abliterated.i1-IQ1_M.gguf 2.42 GB cc755e11 download
Qwen3.5-9B-abliterated.i1-IQ1_S.gguf 2.28 GB d41517d1 download
Auxiliary files 3 files 4.92 MB
Qwen3.5-9B-abliterated.imatrix.gguf 4.91 MB 33d1a762 download
README.md 6.40 KB 7e4a9bd6 download
.gitattributes 3.28 KB 042de528 download

README current version from Hugging Face


base_model: wangzhang/Qwen3.5-9B-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/wangzhang/Qwen3.5-9B-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-9B-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 2.5 for the desperate
GGUF i1-IQ1_M 2.7 mostly desperate
GGUF i1-IQ2_XXS 3.0
GGUF i1-IQ2_XS 3.2
GGUF i1-IQ2_S 3.3
GGUF i1-IQ2_M 3.5
GGUF i1-Q2_K_S 3.6 very low quality
GGUF i1-Q2_K 3.7 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.9 lower quality
GGUF i1-IQ3_XS 4.2
GGUF i1-Q3_K_S 4.4 IQ3_XS probably better
GGUF i1-IQ3_S 4.4 beats Q3_K*
GGUF i1-IQ3_M 4.5
GGUF i1-Q3_K_M 4.7 IQ3_S probably better
GGUF i1-Q3_K_L 4.9 IQ3_M probably better
GGUF i1-IQ4_XS 5.2
GGUF i1-IQ4_NL 5.4 prefer IQ4_XS
GGUF i1-Q4_0 5.4 fast, low quality
GGUF i1-Q4_K_S 5.4 optimal size/speed/quality
GGUF i1-Q4_K_M 5.7 fast, recommended
GGUF i1-Q4_1 5.9
GGUF i1-Q5_K_S 6.4
GGUF i1-Q5_K_M 6.6
GGUF i1-Q6_K 7.5 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 5 versions

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

  1. 2026-09-01auto-patch README.md9a123886.4 KB
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  2. 2026-04-01auto-patch README.md066b0da6.4 KB
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  3. 2026-03-11auto-patch README.md193acf66.4 KB
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  4. 2026-03-11auto-patch README.md080c0cd5 KB
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  5. 2026-03-11uploaded from nico16f67778479 B
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