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mradermacher/Ministral-3-8B-Reasoning-2512-Uncensored-i1-GGUF

mradermacher Mistral 8B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 5,875
  • 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='ccharnkij/Ministral-3-8B-Reasoning-2512-Uncensored' (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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Downloads · lifetime
6K
1K last 30d - stable
Likes
2
Model age
5mo ago
created 2026-04-21
Downloads over time
Now6.4K→from2.3K↑173%
2.1K3.7K5.3K6.8K2.3K on Apr 226.4K on Oct 11AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 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 mistral ministral uncensored text-generation image-text-to-text multimodal reasoning lora en base_model:ccharnkij/Ministral-3-8B-Reasoning-2512-Uncensored

Related

Total size
92.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-21 10:06

Files by quantization

Q6_K 1 file 6.49 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q6_K.gguf 6.49 GB fcf86024 download
Q5_K 2 files 11.2 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q5_K_M.gguf 5.64 GB 4253c4cc download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q5_K_S.gguf 5.51 GB 988f36d5 download
Q4 2 files 9.65 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q4_1.gguf 5.05 GB 870faebd download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q4_0.gguf 4.60 GB d981881a download
Q4_K 2 files 9.46 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q4_K_M.gguf 4.84 GB 7ae551ab download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q4_K_S.gguf 4.61 GB cc6ad750 download
IQ4 2 files 8.98 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ4_NL.gguf 4.60 GB 16303613 download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ4_XS.gguf 4.37 GB 0cde5c96 download
Q3_K 3 files 11.8 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q3_K_L.gguf 4.25 GB 6e049393 download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q3_K_M.gguf 3.95 GB 1e8f02bb download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q3_K_S.gguf 3.60 GB 590b697e download
IQ3 4 files 14.0 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ3_M.gguf 3.72 GB f2bcb947 download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ3_S.gguf 3.62 GB 1a5b2d4e download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ3_XS.gguf 3.46 GB eb2a3a84 download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ3_XXS.gguf 3.22 GB fa376b2c download
Q2_K 2 files 6.05 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q2_K.gguf 3.12 GB 40335403 download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-Q2_K_S.gguf 2.93 GB 7c0fd86f download
IQ2 4 files 10.5 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ2_M.gguf 2.89 GB 4091df9c download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ2_S.gguf 2.71 GB 11815d3c download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ2_XS.gguf 2.56 GB 030b72cc download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ2_XXS.gguf 2.35 GB c1dce002 download
IQ1 2 files 4.09 GB
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ1_M.gguf 2.12 GB ef845cd9 download
Ministral-3-8B-Reasoning-2512-Uncensored.i1-IQ1_S.gguf 1.98 GB ba0bf9bd download
Auxiliary files 3 files 5.09 MB
Ministral-3-8B-Reasoning-2512-Uncensored.imatrix.gguf 5.08 MB 1d814b5e download
README.md 7.35 KB 6ccf89c4 download
.gitattributes 3.72 KB 6e96c81a download

README current version from Hugging Face


base_model: ccharnkij/Ministral-3-8B-Reasoning-2512-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • mistral
  • ministral
  • uncensored
  • text-generation
  • image-text-to-text
  • multimodal
  • reasoning
  • lora

About

weighted/imatrix quants of https://huggingface.co/ccharnkij/Ministral-3-8B-Reasoning-2512-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-Reasoning-2512-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. 2026-04-21auto-patch README.md21e3b3b7.4 KB
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  2. 2026-04-21auto-patch README.md0afdd783.1 KB
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  3. 2026-04-21uploaded from nico1cb85f97496 B
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