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mradermacher/Qwen3.8-27B-Yes-Man-uncensored-i1-GGUF

mradermacher Qwen 27B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 3,390
  • 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='cloudbjorn/Qwen3.8-27B-Yes-Man-uncensored' (base has 'abliterated' marker, assume M1 default)
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Downloads · lifetime
3K
914 last 30d - stable
Likes
1
Model age
7w ago
created 2026-08-19

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
Now3.7K→from1.6K↑132%
1.2K2.1K3K3.9K1.6K on Aug 193.7K on Oct 12AugSepOct
Aug 19 → Oct 12 · 50 snapshots · spans 54 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 peft lora rslora qwen qwen3.8 conversational multimodal reasoning yesman uncensored

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-20 01:55

Files by quantization

Q6_K 1 file 20.6 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-Q6_K.gguf 20.6 GB 59ea3327 download
Q5_K 2 files 35.3 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-Q5_K_M.gguf 17.9 GB b04d9cbf download
Qwen3.8-27B-Yes-Man-uncensored.i1-Q5_K_S.gguf 17.4 GB 53757968 download
Q4 2 files 30.4 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-Q4_1.gguf 15.9 GB 86a4a277 download
Qwen3.8-27B-Yes-Man-uncensored.i1-Q4_0.gguf 14.5 GB 807293f6 download
Q4_K 2 files 29.9 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-Q4_K_M.gguf 15.4 GB d9ef33cc download
Qwen3.8-27B-Yes-Man-uncensored.i1-Q4_K_S.gguf 14.5 GB 3c0fa86c download
IQ4 1 file 14.0 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ4_XS.gguf 14.0 GB 9d37162d download
Q3_K 3 files 37.0 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-Q3_K_L.gguf 13.4 GB 6c2a2294 download
Qwen3.8-27B-Yes-Man-uncensored.i1-Q3_K_M.gguf 12.4 GB 304acad7 download
Qwen3.8-27B-Yes-Man-uncensored.i1-Q3_K_S.gguf 11.2 GB 202df124 download
IQ3 4 files 44.8 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ3_M.gguf 11.7 GB 4a06d308 download
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ3_S.gguf 11.6 GB 2810bf22 download
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ3_XS.gguf 11.1 GB 17dce99f download
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ3_XXS.gguf 10.4 GB 901f6a25 download
Q2_K 2 files 19.5 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-Q2_K.gguf 9.98 GB e6996629 download
Qwen3.8-27B-Yes-Man-uncensored.i1-Q2_K_S.gguf 9.54 GB ea6f40fc download
IQ2 4 files 34.4 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ2_M.gguf 9.32 GB 2d10e3cd download
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ2_S.gguf 8.72 GB 34181fe4 download
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ2_XS.gguf 8.47 GB 9e7b89b4 download
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ2_XXS.gguf 7.85 GB 87cc91cb download
IQ1 2 files 13.8 GB
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ1_M.gguf 7.11 GB 8d271429 download
Qwen3.8-27B-Yes-Man-uncensored.i1-IQ1_S.gguf 6.66 GB d9cd30fd download
Auxiliary files 3 files 13.0 MB
Qwen3.8-27B-Yes-Man-uncensored.imatrix.gguf 13.0 MB 49417705 download
README.md 6.73 KB 602ca1e2 download
.gitattributes 3.39 KB dd761da0 download

README current version from Hugging Face


base_model: cloudbjorn/Qwen3.8-27B-Yes-Man-uncensored
datasets:

  • cloudbjorn/Yes-Man-uncensored
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • transformers
  • peft
  • lora
  • rslora
  • qwen
  • qwen3.8
  • conversational
  • multimodal
  • reasoning
  • yesman
  • uncensored
  • eschaton-engine

About

weighted/imatrix quants of https://huggingface.co/cloudbjorn/Qwen3.8-27B-Yes-Man-uncensored

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-Yes-Man-uncensored-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. 2026-08-20auto-patch README.md6c4f2ac6.7 KB
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  2. 2026-08-20auto-patch README.md71d44ce5.7 KB
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  3. 2026-08-19auto-patch README.mdbba76244 KB
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  4. 2026-08-19uploaded from rich10f2641f487 B
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