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mradermacher/Suri-Qwen-3.8-27B-Uncensored-GGUF

mradermacher Qwen 27B GGUF second-order
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FSuri-Qwen-3.8-27B-Uncensored-GGUF"
Response includes
  • classification m8
  • files 15
  • author_summary 3253 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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='SpaceTimee/Suri-Qwen-3.8-27B-Uncensored' (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 · 30-day
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Model age
today
created 2026-09-24

Genealogy 0 direct forks

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Metadata

Languages
zh en
Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf suri qwen 27B uncensored unaligned text-generation-inference qwen3.8 zh en base_model:SpaceTimee/Suri-Qwen-3.8-27B-Uncensored

Related

Total size
174 GB
Files
15
Quantizations
9
Registered
2026-09-24 08:57
Last updated on HF
2026-09-24 08:29

Files by quantization

Q8_0 2 files 27.2 GB
Suri-Qwen-3.8-27B-Uncensored.Q8_0.gguf 26.6 GB 1134e97b download
Suri-Qwen-3.8-27B-Uncensored.mmproj-Q8_0.gguf 600 MB 77b7ecc7 download
Q6_K 1 file 20.6 GB
Suri-Qwen-3.8-27B-Uncensored.Q6_K.gguf 20.6 GB 35b090e9 download
Q5_K 2 files 35.3 GB
Suri-Qwen-3.8-27B-Uncensored.Q5_K_M.gguf 17.9 GB 51a76edf download
Suri-Qwen-3.8-27B-Uncensored.Q5_K_S.gguf 17.4 GB 8916bc72 download
Q4_K 2 files 29.9 GB
Suri-Qwen-3.8-27B-Uncensored.Q4_K_M.gguf 15.4 GB 6cb49d1f download
Suri-Qwen-3.8-27B-Uncensored.Q4_K_S.gguf 14.5 GB f7fb16d3 download
IQ4 1 file 14.2 GB
Suri-Qwen-3.8-27B-Uncensored.IQ4_XS.gguf 14.2 GB 83de5b4a download
Q3_K 3 files 37.0 GB
Suri-Qwen-3.8-27B-Uncensored.Q3_K_L.gguf 13.4 GB 118768c2 download
Suri-Qwen-3.8-27B-Uncensored.Q3_K_M.gguf 12.4 GB a326da9f download
Suri-Qwen-3.8-27B-Uncensored.Q3_K_S.gguf 11.2 GB 700a8a22 download
Q2_K 1 file 9.98 GB
Suri-Qwen-3.8-27B-Uncensored.Q2_K.gguf 9.98 GB 8d27f1cd download
F16 1 file 885 MB
Suri-Qwen-3.8-27B-Uncensored.mmproj-f16.gguf 885 MB 9de0e929 download
Auxiliary files 2 files 6.63 KB
README.md 4.17 KB 46138d9c download
.gitattributes 2.46 KB f00dcbc4 download

README current version from Hugging Face


base_model: SpaceTimee/Suri-Qwen-3.8-27B-Uncensored
language:

  • zh
  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • suri
  • qwen
  • 27B
  • uncensored
  • unaligned
  • text-generation-inference
  • qwen3.8

About

static quants of https://huggingface.co/SpaceTimee/Suri-Qwen-3.8-27B-Uncensored

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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.

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