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mradermacher/Ministral-3-8B-Uncensored-i1-GGUF

mradermacher 8B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 5,114
  • 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='Felldude/Ministral-3-8B-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.

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Downloads · lifetime
5K
1K last 30d - stable
Likes
1
Model age
4mo ago
created 2026-05-24
Downloads over time
Now5.5K→from2.8K↑98%
2.6K3.7K4.7K5.7K2.8K on Jun 105.5K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 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 vision-language image-captioning multimodal fp32 bf16 fp16 en base_model:Felldude/Ministral-3-8B-Uncensored base_model:quantized:Felldude/Ministral-3-8B-Uncensored license:apache-2.0

Related

Total size
92.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-24 13:55

Files by quantization

Q6_K 1 file 6.49 GB
Ministral-3-8B-Uncensored.i1-Q6_K.gguf 6.49 GB 811eb6e8 download
Q5_K 2 files 11.2 GB
Ministral-3-8B-Uncensored.i1-Q5_K_M.gguf 5.64 GB 130f29df download
Ministral-3-8B-Uncensored.i1-Q5_K_S.gguf 5.51 GB 4e7784f0 download
Q4 2 files 9.65 GB
Ministral-3-8B-Uncensored.i1-Q4_1.gguf 5.05 GB 8bdf7954 download
Ministral-3-8B-Uncensored.i1-Q4_0.gguf 4.60 GB 6d8f446d download
Q4_K 2 files 9.46 GB
Ministral-3-8B-Uncensored.i1-Q4_K_M.gguf 4.84 GB 613e905f download
Ministral-3-8B-Uncensored.i1-Q4_K_S.gguf 4.61 GB 7d53642e download
IQ4 2 files 8.98 GB
Ministral-3-8B-Uncensored.i1-IQ4_NL.gguf 4.60 GB ea4c1bdd download
Ministral-3-8B-Uncensored.i1-IQ4_XS.gguf 4.37 GB 41261398 download
Q3_K 3 files 11.8 GB
Ministral-3-8B-Uncensored.i1-Q3_K_L.gguf 4.25 GB 8dbda6b7 download
Ministral-3-8B-Uncensored.i1-Q3_K_M.gguf 3.95 GB c95ab579 download
Ministral-3-8B-Uncensored.i1-Q3_K_S.gguf 3.60 GB c2af8df2 download
IQ3 4 files 14.0 GB
Ministral-3-8B-Uncensored.i1-IQ3_M.gguf 3.72 GB 6564ba48 download
Ministral-3-8B-Uncensored.i1-IQ3_S.gguf 3.62 GB a0a09578 download
Ministral-3-8B-Uncensored.i1-IQ3_XS.gguf 3.46 GB 97ff0dc7 download
Ministral-3-8B-Uncensored.i1-IQ3_XXS.gguf 3.22 GB 772cecbd download
Q2_K 2 files 6.05 GB
Ministral-3-8B-Uncensored.i1-Q2_K.gguf 3.12 GB 92a6ca6a download
Ministral-3-8B-Uncensored.i1-Q2_K_S.gguf 2.93 GB 6bfdcd42 download
IQ2 4 files 10.5 GB
Ministral-3-8B-Uncensored.i1-IQ2_M.gguf 2.89 GB 85962e25 download
Ministral-3-8B-Uncensored.i1-IQ2_S.gguf 2.71 GB 7c033e27 download
Ministral-3-8B-Uncensored.i1-IQ2_XS.gguf 2.56 GB 14b9379e download
Ministral-3-8B-Uncensored.i1-IQ2_XXS.gguf 2.35 GB adabc9c8 download
IQ1 2 files 4.09 GB
Ministral-3-8B-Uncensored.i1-IQ1_M.gguf 2.12 GB a3be8f19 download
Ministral-3-8B-Uncensored.i1-IQ1_S.gguf 1.98 GB e6a7f97c download
Auxiliary files 3 files 5.09 MB
Ministral-3-8B-Uncensored.imatrix.gguf 5.08 MB eb8ca43a download
README.md 6.53 KB 521521e8 download
.gitattributes 3.35 KB 8648f7e0 download

README current version from Hugging Face


base_model: Felldude/Ministral-3-8B-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • vision-language
  • image-captioning
  • multimodal
  • fp32
  • bf16
  • fp16
  • transformers

About

weighted/imatrix quants of https://huggingface.co/Felldude/Ministral-3-8B-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Ministral-3-8B-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 2.2 for the desperate
GGUF i1-IQ1_M 2.4 mostly desperate
GGUF i1-IQ2_XXS 2.6
GGUF i1-IQ2_XS 2.8
GGUF i1-IQ2_S 3.0
GGUF i1-IQ2_M 3.2
GGUF i1-Q2_K_S 3.2 very low quality
GGUF i1-Q2_K 3.5 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.6 lower quality
GGUF i1-IQ3_XS 3.8
GGUF i1-Q3_K_S 4.0 IQ3_XS probably better
GGUF i1-IQ3_S 4.0 beats Q3_K*
GGUF i1-IQ3_M 4.1
GGUF i1-Q3_K_M 4.3 IQ3_S probably better
GGUF i1-Q3_K_L 4.7 IQ3_M probably better
GGUF i1-IQ4_XS 4.8
GGUF i1-Q4_0 5.0 fast, low quality
GGUF i1-IQ4_NL 5.0 prefer IQ4_XS
GGUF i1-Q4_K_S 5.1 optimal size/speed/quality
GGUF i1-Q4_K_M 5.3 fast, recommended
GGUF i1-Q4_1 5.5
GGUF i1-Q5_K_S 6.0
GGUF i1-Q5_K_M 6.2
GGUF i1-Q6_K 7.1 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 3 versions

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

  1. 2026-05-24auto-patch README.md3209c306.5 KB
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  2. 2026-05-24auto-patch README.md512b7ab4.9 KB
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  3. 2026-05-24uploaded from nico12e6ca61480 B
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