← back to catalog · registered 2026-09-27 19:57

mradermacher/Qwen3.8-27B-Uncensored-Chinese-i1-GGUF

mradermacher 27B GGUF second-order
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FQwen3.8-27B-Uncensored-Chinese-i1-GGUF"
Response includes
  • classification m-uncensored
  • files 6
  • author_summary 3281 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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? →
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Model age
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created 2026-09-27

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Variants by this author 2 formats · 221 downloads combined

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

Metadata

License
apache-2.0
Languages
zh
Quantizations
IQ3 Q2_K Q4_K
Tags
transformers gguf not-for-all-audiences lora sft creative-writing zh base_model:vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese base_model:adapter:vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese license:apache-2.0 endpoints_compatible region:us

Related

Total size
36.8 GB
Files
6
Quantizations
4
Registered
2026-09-27 19:57
Last updated on HF
2026-09-27 22:52

Files by quantization

Q4_K 1 file 14.7 GB
Qwen3.8-27B-Uncensored-Chinese.i1-Q4_K_S.gguf 14.7 GB 641f2765 download
IQ3 1 file 11.9 GB
Qwen3.8-27B-Uncensored-Chinese.i1-IQ3_M.gguf 11.9 GB 58118f70 download
Q2_K 1 file 10.1 GB
Qwen3.8-27B-Uncensored-Chinese.i1-Q2_K.gguf 10.1 GB 2a09e987 download
Auxiliary files 3 files 13.0 MB
Qwen3.8-27B-Uncensored-Chinese.imatrix.gguf 13.0 MB ed3f7c43 download
README.md 2.63 KB abd58d0f download
.gitattributes 1.80 KB 71d7659b download

README current version from Hugging Face


base_model: vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese
language:

  • zh
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • not-for-all-audiences
  • lora
  • sft
  • creative-writing

About

weighted/imatrix quants of https://huggingface.co/vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.8-27B-Uncensored-Chinese-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)

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.

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