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mradermacher/Huihui-Ministral-3-14B-Reasoning-2512-abliterated-i1-GGUF

mradermacher 14B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 16,585
  • author_summary 3328 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation 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='huihui-ai/Huihui-Ministral-3-14B-Reasoning-2512-abliterated' (base is huihui-ai model (M3))
Refusal direction extraction

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Downloads · lifetime
17K
2K last 30d - stable
Likes
2
Model age
9mo ago
created 2026-01-07
Downloads over time
Now17.1K→from813↑2,006%
06.3K12.5K18.8K813 on Jan 717.1K on Oct 12JanMarMayJulSep
Jan 7 → Oct 12 · 80 snapshots · spans 278 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 fr es de it pt nl zh ja ko ar
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf mistral-common abliterated uncensored en fr es de it pt nl

Related

Total size
145 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-28 23:24

Files by quantization

Q6_K 1 file 10.3 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q6_K.gguf 10.3 GB d3c35cf8 download
Q5_K 2 files 17.7 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q5_K_M.gguf 8.96 GB 2eef33d8 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q5_K_S.gguf 8.74 GB 7716cf53 download
Q4 2 files 15.3 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q4_1.gguf 7.99 GB f489e4a5 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q4_0.gguf 7.27 GB 791097d9 download
Q4_K 2 files 15.0 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q4_K_M.gguf 7.67 GB 35fd313a download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q4_K_S.gguf 7.30 GB 9c3bc137 download
IQ4 2 files 14.2 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ4_NL.gguf 7.27 GB 04e55138 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ4_XS.gguf 6.90 GB c1667937 download
Q3_K 3 files 18.6 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q3_K_L.gguf 6.72 GB 0b1ac6f2 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q3_K_M.gguf 6.22 GB 8d3ec75a download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q3_K_S.gguf 5.66 GB 11f69ab8 download
IQ3 4 files 22.0 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ3_M.gguf 5.84 GB 0a8eaf13 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ3_S.gguf 5.68 GB 934e78b0 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ3_XS.gguf 5.42 GB f36e967e download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ3_XXS.gguf 5.05 GB f54cf77d download
Q2_K 2 files 9.47 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q2_K.gguf 4.89 GB 0ab984c9 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-Q2_K_S.gguf 4.58 GB cf03653a download
IQ2 4 files 16.4 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ2_M.gguf 4.51 GB f13fc441 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ2_S.gguf 4.20 GB 8126485e download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ2_XS.gguf 3.99 GB 42e71ea4 download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ2_XXS.gguf 3.65 GB 58cfe548 download
IQ1 2 files 6.29 GB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ1_M.gguf 3.26 GB 1d2088fe download
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.i1-IQ1_S.gguf 3.03 GB 245ce589 download
Auxiliary files 3 files 7.08 MB
Huihui-Ministral-3-14B-Reasoning-2512-abliterated.imatrix.gguf 7.07 MB cbba4121 download
README.md 7.83 KB f260b3b6 download
.gitattributes 3.94 KB d06614f2 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Ministral-3-14B-Reasoning-2512-abliterated
language:

  • en
  • fr
  • es
  • de
  • it
  • pt
  • nl
  • zh
  • ja
  • ko
  • ar
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • mistral-common
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Ministral-3-14B-Reasoning-2512-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Huihui-Ministral-3-14B-Reasoning-2512-abliterated-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 4 versions

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

  1. 2026-08-28auto-patch README.mdc77e1517.7 KB
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  2. 2026-01-07auto-patch README.md0734de77.8 KB
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  3. 2026-01-07auto-patch README.mde16e39a3.9 KB
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  4. 2026-01-07uploaded from nico12bac30e506 B
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