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

mradermacher/Uncensored-SinLlama-8B-GGUF

mradermacher 8B GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 1,435
  • 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='ShenalMax/Uncensored-SinLlama-8B' (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 · lifetime
1K
357 last 30d - stable
Likes
1
Model age
5mo ago
created 2026-04-30
Downloads over time
Now1.5K→from545↑175%
4978631.2K1.6K545 on Apr 291.5K on Oct 11AprMayJunJulAugSepOct
Apr 29 → Oct 11 · 63 snapshots · spans 165 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.

Metadata

Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf en endpoints_compatible region:us

Related

Total size
67.7 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-04-30 10:37

Files by quantization

F16 1 file 15.1 GB
Uncensored-SinLlama-8B.f16.gguf 15.1 GB 54d2212e download
Q8_0 1 file 8.04 GB
Uncensored-SinLlama-8B.Q8_0.gguf 8.04 GB a223e216 download
Q6_K 1 file 6.21 GB
Uncensored-SinLlama-8B.Q6_K.gguf 6.21 GB 92f31fb3 download
Q5_K 2 files 10.7 GB
Uncensored-SinLlama-8B.Q5_K_M.gguf 5.40 GB 53494c54 download
Uncensored-SinLlama-8B.Q5_K_S.gguf 5.28 GB d352cfa2 download
Q4_K 2 files 9.07 GB
Uncensored-SinLlama-8B.Q4_K_M.gguf 4.64 GB 2d583596 download
Uncensored-SinLlama-8B.Q4_K_S.gguf 4.43 GB 9bb44ead download
IQ4 1 file 4.23 GB
Uncensored-SinLlama-8B.IQ4_XS.gguf 4.23 GB a16ac14f download
Q3_K 3 files 11.3 GB
Uncensored-SinLlama-8B.Q3_K_L.gguf 4.08 GB e1d25a55 download
Uncensored-SinLlama-8B.Q3_K_M.gguf 3.80 GB 8e0940cf download
Uncensored-SinLlama-8B.Q3_K_S.gguf 3.47 GB 01877f5b download
Q2_K 1 file 3.01 GB
Uncensored-SinLlama-8B.Q2_K.gguf 3.01 GB 3b37e7bf download
Auxiliary files 2 files 6.01 KB
README.md 3.70 KB 0bf9726b download
.gitattributes 2.31 KB 62913af4 download

README current version from Hugging Face


base_model: ShenalMax/Uncensored-SinLlama-8B
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

static quants of https://huggingface.co/ShenalMax/Uncensored-SinLlama-8B

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 3.3
GGUF Q3_K_S 3.8
GGUF Q3_K_M 4.2 lower quality
GGUF Q3_K_L 4.5
GGUF IQ4_XS 4.6
GGUF Q4_K_S 4.9 fast, recommended
GGUF Q4_K_M 5.1 fast, recommended
GGUF Q5_K_S 5.8
GGUF Q5_K_M 5.9
GGUF Q6_K 6.8 very good quality
GGUF Q8_0 8.7 fast, best quality
GGUF f16 16.4 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 3 versions

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

  1. 2026-04-30auto-patch README.mde7981113.7 KB
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  2. 2026-04-30auto-patch README.mdbfae83a3.6 KB
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  3. 2026-04-30uploaded from leia1b2d1ba375 B
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