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mradermacher/Qwen3.5-27B-Uncensored-Aggressive-GGUF

mradermacher Qwen 27B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 15
  • hub_downloads_all_time 2,357
  • 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='rodrigomt/Qwen3.5-27B-Uncensored-Aggressive' (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.

What is a refusal direction? →
Downloads · lifetime
2K
439 last 30d - stable
Likes
0
Model age
5mo ago
created 2026-04-22
Downloads over time
Now2.6K→from934↑174%
8531.5K2.1K2.7K934 on Apr 222.6K on Oct 11AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 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 · 1K downloads combined

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

Metadata

License
other
Languages
multilingual
Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf qwen qwen3.5 uncensored safetensors multimodal multilingual base_model:rodrigomt/Qwen3.5-27B-Uncensored-Aggressive base_model:quantized:rodrigomt/Qwen3.5-27B-Uncensored-Aggressive license:other endpoints_compatible

Related

Total size
174 GB
Files
15
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-04-27 13:55

Files by quantization

Q8_0 2 files 27.2 GB
Qwen3.5-27B-Uncensored-Aggressive.Q8_0.gguf 26.6 GB 775cc773 download
Qwen3.5-27B-Uncensored-Aggressive.mmproj-Q8_0.gguf 600 MB 57ff8a86 download
Q6_K 1 file 20.6 GB
Qwen3.5-27B-Uncensored-Aggressive.Q6_K.gguf 20.6 GB 664dbf68 download
Q5_K 2 files 35.3 GB
Qwen3.5-27B-Uncensored-Aggressive.Q5_K_M.gguf 17.9 GB 314fce2a download
Qwen3.5-27B-Uncensored-Aggressive.Q5_K_S.gguf 17.4 GB 02f3a14b download
Q4_K 2 files 29.9 GB
Qwen3.5-27B-Uncensored-Aggressive.Q4_K_M.gguf 15.4 GB 1b252989 download
Qwen3.5-27B-Uncensored-Aggressive.Q4_K_S.gguf 14.5 GB 0ca9da89 download
IQ4 1 file 14.2 GB
Qwen3.5-27B-Uncensored-Aggressive.IQ4_XS.gguf 14.2 GB da798df6 download
Q3_K 3 files 37.0 GB
Qwen3.5-27B-Uncensored-Aggressive.Q3_K_L.gguf 13.4 GB 23b980df download
Qwen3.5-27B-Uncensored-Aggressive.Q3_K_M.gguf 12.4 GB 9e4ee3a4 download
Qwen3.5-27B-Uncensored-Aggressive.Q3_K_S.gguf 11.2 GB 747cdf00 download
Q2_K 1 file 9.98 GB
Qwen3.5-27B-Uncensored-Aggressive.Q2_K.gguf 9.98 GB f377ad56 download
F16 1 file 885 MB
Qwen3.5-27B-Uncensored-Aggressive.mmproj-f16.gguf 885 MB f4b1e63a download
Auxiliary files 2 files 6.82 KB
README.md 4.29 KB b68e88c0 download
.gitattributes 2.53 KB 3da70197 download

README current version from Hugging Face


base_model: rodrigomt/Qwen3.5-27B-Uncensored-Aggressive
language:


About

static quants of https://huggingface.co/rodrigomt/Qwen3.5-27B-Uncensored-Aggressive

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5-27B-Uncensored-Aggressive-i1-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 mmproj-Q8_0 0.7 multi-modal supplement
GGUF mmproj-f16 1.0 multi-modal supplement
GGUF Q2_K 10.8
GGUF Q3_K_S 12.2
GGUF Q3_K_M 13.4 lower quality
GGUF Q3_K_L 14.4
GGUF IQ4_XS 15.3
GGUF Q4_K_S 15.7 fast, recommended
GGUF Q4_K_M 16.6 fast, recommended
GGUF Q5_K_S 18.8
GGUF Q5_K_M 19.3
GGUF Q6_K 22.2 very good quality
GGUF Q8_0 28.7 fast, best quality

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.

README history 4 versions

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

  1. 2026-04-27auto-patch README.mdf3aaf114.3 KB
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  2. 2026-04-22auto-patch README.md7b2b2df4.4 KB
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  3. 2026-04-22auto-patch README.md26044234.2 KB
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  4. 2026-04-22uploaded from nico182f467e386 B
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