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mradermacher/Ministral-3-3B-Instruct-2512-BF16-3MPER0RR-abliterated-GGUF

mradermacher 3B GGUF multimodal second-order
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  • readme_text full
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Abliteration classifier · v1.0.0
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Primary method

Unclassified

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  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
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created 2026-10-01

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Metadata

License
apache-2.0
Languages
en
Tags
transformers gguf text-only vision-encoder-removed en base_model:3MPER0RR/Ministral-3-3B-Instruct-2512-BF16-3MPER0RR-abliterated base_model:quantized:3MPER0RR/Ministral-3-3B-Instruct-2512-BF16-3MPER0RR-abliterated license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
0 B
Files
4
Quantizations
3
Registered
2026-10-01 19:58
Last updated on HF
2026-10-01 20:41

Files by quantization

F16 1 file 801 MB
Ministral-3-3B-Instruct-2512-BF16-3MPER0RR-abliterated.mmproj-f16.gguf 801 MB 44d590da download
Q8_0 1 file 439 MB
Ministral-3-3B-Instruct-2512-BF16-3MPER0RR-abliterated.mmproj-Q8_0.gguf 439 MB baa44907 download
Auxiliary files 2 files 4.27 KB
README.md 2.58 KB 56b6fa58 download
.gitattributes 1.69 KB d56b0f95 download

README current version from Hugging Face


base_model: 3MPER0RR/Ministral-3-3B-Instruct-2512-BF16-3MPER0RR-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-only
  • vision-encoder-removed

About

static quants of https://huggingface.co/3MPER0RR/Ministral-3-3B-Instruct-2512-BF16-3MPER0RR-abliterated

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 mmproj-Q8_0 0.6 multi-modal supplement
GGUF mmproj-f16 0.9 multi-modal supplement

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.

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