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mradermacher/Qwen3.8-27B-Uncensored-v3-i1-GGUF

mradermacher 27B GGUF second-order
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Response includes
  • classification m8
  • files 26
  • author_summary 3501 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='InterpreticAI/Qwen3.8-27B-Uncensored-v3' (base has 'abliterated' marker, assume M1 default)
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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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created 2026-11-08
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Variants by this author 2 formats · 436 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 qwen3.8 uncensored political-censorship en base_model:InterpreticAI/Qwen3.8-27B-Uncensored-v3 base_model:quantized:InterpreticAI/Qwen3.8-27B-Uncensored-v3 license:apache-2.0 endpoints_compatible region:us imatrix

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-11-08 13:02
Last updated on HF
2026-11-08 12:00

Files by quantization

Q6_K 1 file 20.6 GB
Qwen3.8-27B-Uncensored-v3.i1-Q6_K.gguf 20.6 GB 773f3dab download
Q5_K 2 files 35.3 GB
Qwen3.8-27B-Uncensored-v3.i1-Q5_K_M.gguf 17.9 GB 09f077b5 download
Qwen3.8-27B-Uncensored-v3.i1-Q5_K_S.gguf 17.4 GB 43e556fa download
Q4 2 files 30.4 GB
Qwen3.8-27B-Uncensored-v3.i1-Q4_1.gguf 15.9 GB 188c8a81 download
Qwen3.8-27B-Uncensored-v3.i1-Q4_0.gguf 14.5 GB 3bb2e4f6 download
Q4_K 2 files 29.9 GB
Qwen3.8-27B-Uncensored-v3.i1-Q4_K_M.gguf 15.4 GB a8cade66 download
Qwen3.8-27B-Uncensored-v3.i1-Q4_K_S.gguf 14.5 GB b259719d download
IQ4 1 file 14.0 GB
Qwen3.8-27B-Uncensored-v3.i1-IQ4_XS.gguf 14.0 GB 692ecf51 download
Q3_K 3 files 37.0 GB
Qwen3.8-27B-Uncensored-v3.i1-Q3_K_L.gguf 13.4 GB 1cf0c2c4 download
Qwen3.8-27B-Uncensored-v3.i1-Q3_K_M.gguf 12.4 GB d56d15fa download
Qwen3.8-27B-Uncensored-v3.i1-Q3_K_S.gguf 11.2 GB 685f1be0 download
IQ3 4 files 44.8 GB
Qwen3.8-27B-Uncensored-v3.i1-IQ3_M.gguf 11.7 GB 84556f60 download
Qwen3.8-27B-Uncensored-v3.i1-IQ3_S.gguf 11.6 GB b799e8ba download
Qwen3.8-27B-Uncensored-v3.i1-IQ3_XS.gguf 11.1 GB e31e1f65 download
Qwen3.8-27B-Uncensored-v3.i1-IQ3_XXS.gguf 10.4 GB c6dfe49b download
Q2_K 2 files 19.5 GB
Qwen3.8-27B-Uncensored-v3.i1-Q2_K.gguf 9.98 GB 2b2496e8 download
Qwen3.8-27B-Uncensored-v3.i1-Q2_K_S.gguf 9.54 GB 88091ac6 download
IQ2 4 files 34.4 GB
Qwen3.8-27B-Uncensored-v3.i1-IQ2_M.gguf 9.32 GB d2c7ff32 download
Qwen3.8-27B-Uncensored-v3.i1-IQ2_S.gguf 8.72 GB e2ba0ec7 download
Qwen3.8-27B-Uncensored-v3.i1-IQ2_XS.gguf 8.47 GB 861cdac4 download
Qwen3.8-27B-Uncensored-v3.i1-IQ2_XXS.gguf 7.85 GB 888ffc94 download
IQ1 2 files 13.8 GB
Qwen3.8-27B-Uncensored-v3.i1-IQ1_M.gguf 7.11 GB 7c0a5fac download
Qwen3.8-27B-Uncensored-v3.i1-IQ1_S.gguf 6.66 GB 2084a511 download
Auxiliary files 3 files 26.0 MB
Qwen3.8-27B-Uncensored-v3.imatrix.gguf 26.0 MB af9afce4 download
README.md 6.35 KB c5e81011 download
.gitattributes 3.27 KB 4e46a8a4 download

README current version from Hugging Face


base_model: InterpreticAI/Qwen3.8-27B-Uncensored-v3
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen3.8
  • uncensored
  • political-censorship

About

weighted/imatrix quants of https://huggingface.co/InterpreticAI/Qwen3.8-27B-Uncensored-v3

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-v3-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.

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