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mradermacher/Qwen3.6-27B-Uncensored-Aggressive-i1-GGUF

mradermacher Qwen 27B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 9,686
  • 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='prithivMLmods/Qwen3.6-27B-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.

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Downloads · lifetime
10K
984 last 30d - stable
Likes
3
Model age
5mo ago
created 2026-05-03

Training datasets

1 of 1 in /datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now9.8K→from4.3K↑127%
4K6.1K8.3K10.4K4.3K on May 69.8K on Oct 11MayJunJulAugSepOct
May 6 → Oct 11 · 62 snapshots · spans 158 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 · 2K 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 text-generation-inference uncensored abliterated unfiltered unredacted refusal-ablated vllm pytorch bf16 max

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-03 12:36

Files by quantization

Q6_K 1 file 20.6 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-Q6_K.gguf 20.6 GB 92ae4119 download
Q5_K 2 files 35.3 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-Q5_K_M.gguf 17.9 GB 34daeb39 download
Qwen3.6-27B-Uncensored-Aggressive.i1-Q5_K_S.gguf 17.4 GB a8019ee5 download
Q4 2 files 30.4 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-Q4_1.gguf 15.9 GB 7ea1be3e download
Qwen3.6-27B-Uncensored-Aggressive.i1-Q4_0.gguf 14.5 GB 714be226 download
Q4_K 2 files 29.9 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-Q4_K_M.gguf 15.4 GB e5658545 download
Qwen3.6-27B-Uncensored-Aggressive.i1-Q4_K_S.gguf 14.5 GB dfcd9d01 download
IQ4 1 file 14.0 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ4_XS.gguf 14.0 GB 1a0dfed8 download
Q3_K 3 files 37.0 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-Q3_K_L.gguf 13.4 GB cc85a017 download
Qwen3.6-27B-Uncensored-Aggressive.i1-Q3_K_M.gguf 12.4 GB b6a8e305 download
Qwen3.6-27B-Uncensored-Aggressive.i1-Q3_K_S.gguf 11.2 GB 2ccd0cbb download
IQ3 4 files 44.8 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ3_M.gguf 11.7 GB 6de5f8f8 download
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ3_S.gguf 11.6 GB 5ebc452f download
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ3_XS.gguf 11.1 GB 94b2954f download
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ3_XXS.gguf 10.4 GB 6de60109 download
Q2_K 2 files 19.5 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-Q2_K.gguf 9.98 GB 88f81a66 download
Qwen3.6-27B-Uncensored-Aggressive.i1-Q2_K_S.gguf 9.54 GB 5e93a1f9 download
IQ2 4 files 34.4 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ2_M.gguf 9.32 GB 2eadee31 download
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ2_S.gguf 8.72 GB 59338af8 download
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ2_XS.gguf 8.47 GB 1e4c8a91 download
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ2_XXS.gguf 7.85 GB 48d166c0 download
IQ1 2 files 13.8 GB
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ1_M.gguf 7.11 GB ecd58d32 download
Qwen3.6-27B-Uncensored-Aggressive.i1-IQ1_S.gguf 6.66 GB 086d169f download
Auxiliary files 3 files 13.0 MB
Qwen3.6-27B-Uncensored-Aggressive.imatrix.gguf 13.0 MB 7380b0be download
README.md 6.92 KB 1ace4ef3 download
.gitattributes 3.46 KB a4e8e1ad download

README current version from Hugging Face


base_model: prithivMLmods/Qwen3.6-27B-Uncensored-Aggressive
datasets:

  • prithivMLmods/harm_bench
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • uncensored
  • abliterated
  • unfiltered
  • unredacted
  • refusal-ablated
  • vllm
  • pytorch
  • bf16
  • max
  • alignment-modified
  • reasoning
  • agent

About

weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen3.6-27B-Uncensored-Aggressive

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.6-27B-Uncensored-Aggressive-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 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 4 versions

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

  1. 2026-05-03auto-patch README.md71822146.9 KB
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  2. 2026-05-03auto-patch README.mdb91eb976.2 KB
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  3. 2026-05-03auto-patch README.md4f57c433.2 KB
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  4. 2026-05-03uploaded from nico1100ff62493 B
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