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

mradermacher 3B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,879
  • 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 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-3-3B-Reasoning-2512-abliterated' (base is huihui-ai model (M3))
Refusal direction extraction

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Downloads · lifetime
7K
2K last 30d - stable
Likes
1
Model age
10mo ago
created 2025-12-05
Downloads over time
Now7.5K→from1.9K↑298%
1.6K3.7K5.9K8K1.9K on Dec 10, 20257.5K on Oct 11Dec '25FebAprJunAugOct
Dec 10, 2025 → Oct 11 · 83 snapshots · spans 305 days

Genealogy 0 direct forks

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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
38.7 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-25 16:31

Files by quantization

Q6_K 1 file 2.63 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q6_K.gguf 2.63 GB dbf5580d download
Q5_K 2 files 4.56 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q5_K_M.gguf 2.30 GB 6912243b download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q5_K_S.gguf 2.25 GB 40e42ecc download
Q4 2 files 3.98 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q4_1.gguf 2.08 GB c261ace3 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q4_0.gguf 1.91 GB ed962555 download
Q4_K 2 files 3.91 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q4_K_M.gguf 2.00 GB 5f8406c3 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q4_K_S.gguf 1.91 GB bfd3e2d8 download
IQ4 2 files 3.74 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ4_NL.gguf 1.91 GB ee0350e5 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ4_XS.gguf 1.82 GB a19a237e download
Q3_K 3 files 5.00 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q3_K_L.gguf 1.80 GB 4c39c331 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q3_K_M.gguf 1.67 GB 31c469fa download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q3_K_S.gguf 1.53 GB ed780eff download
IQ3 4 files 5.95 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ3_M.gguf 1.59 GB ce628c59 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ3_S.gguf 1.54 GB 3142cf0d download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ3_XS.gguf 1.47 GB b64f465f download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ3_XXS.gguf 1.35 GB b56d5ee9 download
Q2_K 2 files 2.64 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q2_K.gguf 1.36 GB cfba98d5 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-Q2_K_S.gguf 1.28 GB 7012766f download
IQ2 4 files 4.51 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ2_M.gguf 1.23 GB 601d7206 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ2_S.gguf 1.16 GB ef692945 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ2_XS.gguf 1.10 GB 3dbedaf9 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ2_XXS.gguf 1.02 GB e567b31f download
IQ1 2 files 1.80 GB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ1_M.gguf 951 MB 37bc6174 download
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.i1-IQ1_S.gguf 895 MB 793471f1 download
Auxiliary files 3 files 2.88 MB
Huihui-Ministral-3-3B-Reasoning-2512-abliterated.imatrix.gguf 2.87 MB 2e892902 download
README.md 7.77 KB 3858d750 download
.gitattributes 3.91 KB 3f855b02 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Ministral-3-3B-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-3-3B-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-3-3B-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 1.0 for the desperate
GGUF i1-IQ1_M 1.1 mostly desperate
GGUF i1-IQ2_XXS 1.2
GGUF i1-IQ2_XS 1.3
GGUF i1-IQ2_S 1.3
GGUF i1-IQ2_M 1.4
GGUF i1-Q2_K_S 1.5 very low quality
GGUF i1-IQ3_XXS 1.5 lower quality
GGUF i1-Q2_K 1.6 IQ3_XXS probably better
GGUF i1-IQ3_XS 1.7
GGUF i1-Q3_K_S 1.7 IQ3_XS probably better
GGUF i1-IQ3_S 1.8 beats Q3_K*
GGUF i1-IQ3_M 1.8
GGUF i1-Q3_K_M 1.9 IQ3_S probably better
GGUF i1-Q3_K_L 2.0 IQ3_M probably better
GGUF i1-IQ4_XS 2.1
GGUF i1-Q4_0 2.1 fast, low quality
GGUF i1-IQ4_NL 2.2 prefer IQ4_XS
GGUF i1-Q4_K_S 2.2 optimal size/speed/quality
GGUF i1-Q4_K_M 2.2 fast, recommended
GGUF i1-Q4_1 2.3
GGUF i1-Q5_K_S 2.5
GGUF i1-Q5_K_M 2.6
GGUF i1-Q6_K 2.9 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. 2026-08-25auto-patch README.mdeca4bf07.6 KB
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  2. 2025-12-05auto-patch README.md002977e7.8 KB
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  3. 2025-12-05uploaded from nico18d2a99e505 B
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