← back to catalog · registered 2026-09-16 18:56

mradermacher/qwen3.8-27b-korean-uncensored-merged-GGUF

mradermacher 27B GGUF second-order
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='koreallmdev/qwen3.8-27b-korean-uncensored-merged' (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 · 30-day
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Model age
today
created 2026-09-16

Genealogy 0 direct forks

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Metadata

Languages
ko en
Quantizations
Q2_K Q4_K
Tags
transformers gguf qwen qwen3.8 27b korean uncensored merged bf16 text-generation ko en

Related

Total size
24.5 GB
Files
4
Quantizations
3
Registered
2026-09-16 18:56
Last updated on HF
2026-09-16 18:48

Files by quantization

Q4_K 1 file 14.5 GB
qwen3.8-27b-korean-uncensored-merged.Q4_K_S.gguf 14.5 GB 4a27f3d6 download
Q2_K 1 file 9.98 GB
qwen3.8-27b-korean-uncensored-merged.Q2_K.gguf 9.98 GB 28aaec67 download
Auxiliary files 2 files 4.09 KB
README.md 2.44 KB 8f98d880 download
.gitattributes 1.65 KB fa9ae412 download

README current version from Hugging Face


base_model: koreallmdev/qwen3.8-27b-korean-uncensored-merged
language:

  • ko
  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen
  • qwen3.8
  • 27b
  • korean
  • uncensored
  • merged
  • bf16
  • text-generation

About

static quants of https://huggingface.co/koreallmdev/qwen3.8-27b-korean-uncensored-merged

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 Q2_K 10.8
GGUF Q4_K_S 15.7 fast, recommended

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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