← back to catalog · registered 2026-08-22 13:56

mradermacher/sexyGPT-Uncensored-GGUF

mradermacher GGUF second-order 1K ctx
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Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 5,127
  • 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='ross-dev/sexyGPT-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 · lifetime
5K
425 last 30d - cooling
Likes
0
Model age
18mo ago
created 2025-04-07
Downloads over time
Now5.3K→from153↑3,335%
01.9K3.8K5.8K153 on Apr 2, 20255.3K on Oct 11Apr '25Jul '25Oct '25JanAprJulOct
Apr 2, 2025 → Oct 11 · 119 snapshots · spans 557 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 · 1K downloads combined

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

Metadata

License
apache-2.0
Languages
es ar
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf not-for-all-audiences Sex Taboo Teacher-student sex es ar base_model:ross-dev/sexyGPT-Uncensored base_model:quantized:ross-dev/sexyGPT-Uncensored license:apache-2.0 endpoints_compatible

Related

Total size
1.17 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-10-28 17:32

Files by quantization

F16 1 file 241 MB
sexyGPT-Uncensored.f16.gguf 241 MB a619b8dc download
Q8_0 1 file 130 MB
sexyGPT-Uncensored.Q8_0.gguf 130 MB c7b00a6d download
Q6_K 1 file 102 MB
sexyGPT-Uncensored.Q6_K.gguf 102 MB a225a9fb download
Q5_K 2 files 187 MB
sexyGPT-Uncensored.Q5_K_M.gguf 95.5 MB 07fa3d52 download
sexyGPT-Uncensored.Q5_K_S.gguf 91.0 MB c591a0c0 download
Q4_K 2 files 168 MB
sexyGPT-Uncensored.Q4_K_M.gguf 86.9 MB 53a86209 download
sexyGPT-Uncensored.Q4_K_S.gguf 81.2 MB 97facc99 download
Q3_K 3 files 229 MB
sexyGPT-Uncensored.Q3_K_L.gguf 81.5 MB 6985a44f download
sexyGPT-Uncensored.Q3_K_M.gguf 77.3 MB 884d8d02 download
sexyGPT-Uncensored.Q3_K_S.gguf 70.2 MB 6bf9b43a download
IQ4 1 file 78.7 MB
sexyGPT-Uncensored.IQ4_XS.gguf 78.7 MB 965021bc download
Q2_K 1 file 65.4 MB
sexyGPT-Uncensored.Q2_K.gguf 65.4 MB cb47a461 download
Auxiliary files 2 files 5.67 KB
README.md 3.41 KB a190384f download
.gitattributes 2.26 KB faec47c0 download

README current version from Hugging Face


base_model: ross-dev/sexyGPT-Uncensored
language:

  • es
  • ar
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • not-for-all-audiences
  • Sex
  • Taboo
  • Teacher-student sex

About

static quants of https://huggingface.co/ross-dev/sexyGPT-Uncensored

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/sexyGPT-Uncensored-i1-GGUF

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 0.2
GGUF Q3_K_S 0.2
GGUF Q3_K_M 0.2 lower quality
GGUF IQ4_XS 0.2
GGUF Q4_K_S 0.2 fast, recommended
GGUF Q3_K_L 0.2
GGUF Q4_K_M 0.2 fast, recommended
GGUF Q5_K_S 0.2
GGUF Q5_K_M 0.2
GGUF Q6_K 0.2 very good quality
GGUF Q8_0 0.2 fast, best quality
GGUF f16 0.4 16 bpw, overkill

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.

README history 4 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2025-10-28auto-patch README.md00499df3.4 KB
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  2. 2025-09-28auto-patch README.md61baf193.4 KB
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  3. 2025-04-07auto-patch README.md7c94ece3.2 KB
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  4. 2025-04-07uploaded from kaos1e649e7217 B
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