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mradermacher/Ministral-3-14B-Reasoning-2512-Uncensored-i1-GGUF

mradermacher Mistral 14B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 4,192
  • 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-3-14B-Reasoning-2512-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
4K
1K last 30d - stable
Likes
2
Model age
2mo ago
created 2026-07-16
Downloads over time
Now4.5K→from1K↑336%
8612.2K3.5K4.9K1K on Jul 154.5K on Oct 11JulAugSepOct
Jul 15 → Oct 11 · 53 snapshots · spans 88 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 · 3K 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-3-14B-Reasoning-2512-Uncensored

Related

Total size
145 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-16 15:08

Files by quantization

Q6_K 1 file 10.3 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q6_K.gguf 10.3 GB e41daa3c download
Q5_K 2 files 17.7 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q5_K_M.gguf 8.96 GB 1f0cfeeb download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q5_K_S.gguf 8.74 GB e0d1038e download
Q4 2 files 15.3 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q4_1.gguf 7.99 GB b44f7af4 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q4_0.gguf 7.27 GB d3f61170 download
Q4_K 2 files 15.0 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q4_K_M.gguf 7.67 GB 74c7cadc download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q4_K_S.gguf 7.30 GB 39dc5902 download
IQ4 2 files 14.2 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ4_NL.gguf 7.27 GB b8bacf03 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ4_XS.gguf 6.90 GB 720c954e download
Q3_K 3 files 18.6 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q3_K_L.gguf 6.72 GB 5068c77f download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q3_K_M.gguf 6.22 GB 8c13d80f download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q3_K_S.gguf 5.66 GB b5c32dfb download
IQ3 4 files 22.0 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ3_M.gguf 5.84 GB 16f8c9b8 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ3_S.gguf 5.68 GB 3350cae7 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ3_XS.gguf 5.42 GB 8e501f8e download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ3_XXS.gguf 5.05 GB ed182f5c download
Q2_K 2 files 9.47 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q2_K.gguf 4.89 GB eff8e1ff download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-Q2_K_S.gguf 4.58 GB 1f540b04 download
IQ2 4 files 16.3 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ2_M.gguf 4.51 GB 5dafbd98 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ2_S.gguf 4.20 GB b2970696 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ2_XS.gguf 3.99 GB b775f0e8 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ2_XXS.gguf 3.65 GB cc485811 download
IQ1 2 files 6.29 GB
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ1_M.gguf 3.26 GB f824be89 download
Ministral-3-14B-Reasoning-2512-Uncensored.i1-IQ1_S.gguf 3.03 GB 56e97db1 download
Auxiliary files 3 files 7.08 MB
Ministral-3-14B-Reasoning-2512-Uncensored.imatrix.gguf 7.07 MB 362f871b download
README.md 7.41 KB 89995d65 download
.gitattributes 3.74 KB 9ced7131 download

README current version from Hugging Face


base_model: ccharnkij/Ministral-3-14B-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-3-14B-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-3-14B-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 3.4 for the desperate
GGUF i1-IQ1_M 3.6 mostly desperate
GGUF i1-IQ2_XXS 4.0
GGUF i1-IQ2_XS 4.4
GGUF i1-IQ2_S 4.6
GGUF i1-IQ2_M 4.9
GGUF i1-Q2_K_S 5.0 very low quality
GGUF i1-Q2_K 5.3 IQ3_XXS probably better
GGUF i1-IQ3_XXS 5.5 lower quality
GGUF i1-IQ3_XS 5.9
GGUF i1-Q3_K_S 6.2 IQ3_XS probably better
GGUF i1-IQ3_S 6.2 beats Q3_K*
GGUF i1-IQ3_M 6.4
GGUF i1-Q3_K_M 6.8 IQ3_S probably better
GGUF i1-Q3_K_L 7.3 IQ3_M probably better
GGUF i1-IQ4_XS 7.5
GGUF i1-IQ4_NL 7.9 prefer IQ4_XS
GGUF i1-Q4_0 7.9 fast, low quality
GGUF i1-Q4_K_S 7.9 optimal size/speed/quality
GGUF i1-Q4_K_M 8.3 fast, recommended
GGUF i1-Q4_1 8.7
GGUF i1-Q5_K_S 9.5
GGUF i1-Q5_K_M 9.7
GGUF i1-Q6_K 11.2 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 2 versions

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

  1. 2026-07-16auto-patch README.mda93cdf87.4 KB
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  2. 2026-07-16uploaded from nico1bb1490e497 B
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