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mradermacher/ministral-8B-Instruct-2410-abliterated-i1-GGUF

mradermacher Mistral 8B GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 12,179
  • 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='realoperator42/ministral-8B-Instruct-2410-abliterated' (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
12K
1K last 30d - stable
Likes
3
Model age
12mo ago
created 2025-09-22

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now12.5K→from1.8K↑605%
1K5.2K9.4K13.6K1.8K on Sep 24, 202512.5K on Oct 11Sep '25Nov '25JanMarMayJulSep
Sep 24, 2025 → Oct 11 · 96 snapshots · spans 382 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

Languages
en fr de es it pt ru zh ja
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored ministral mistral text-generation conversational en fr de es

Related

Total size
87.4 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-07 22:33

Files by quantization

Q6_K 1 file 6.14 GB
ministral-8B-Instruct-2410-abliterated.i1-Q6_K.gguf 6.14 GB 67068ea4 download
Q5_K 2 files 10.5 GB
ministral-8B-Instruct-2410-abliterated.i1-Q5_K_M.gguf 5.33 GB 91dda432 download
ministral-8B-Instruct-2410-abliterated.i1-Q5_K_S.gguf 5.21 GB 4b7fd5ae download
Q4 2 files 9.12 GB
ministral-8B-Instruct-2410-abliterated.i1-Q4_1.gguf 4.77 GB 6682903b download
ministral-8B-Instruct-2410-abliterated.i1-Q4_0.gguf 4.35 GB e6c5a196 download
Q4_K 2 files 8.94 GB
ministral-8B-Instruct-2410-abliterated.i1-Q4_K_M.gguf 4.57 GB c416a6fe download
ministral-8B-Instruct-2410-abliterated.i1-Q4_K_S.gguf 4.36 GB edd3a05e download
IQ4 2 files 8.50 GB
ministral-8B-Instruct-2410-abliterated.i1-IQ4_NL.gguf 4.36 GB 51cef2ef download
ministral-8B-Instruct-2410-abliterated.i1-IQ4_XS.gguf 4.14 GB 60cb1cb1 download
Q3_K 3 files 11.2 GB
ministral-8B-Instruct-2410-abliterated.i1-Q3_K_L.gguf 4.03 GB 12cce31e download
ministral-8B-Instruct-2410-abliterated.i1-Q3_K_M.gguf 3.74 GB 1472d880 download
ministral-8B-Instruct-2410-abliterated.i1-Q3_K_S.gguf 3.41 GB ca7a2dc8 download
IQ3 4 files 13.3 GB
ministral-8B-Instruct-2410-abliterated.i1-IQ3_M.gguf 3.53 GB 21e044bb download
ministral-8B-Instruct-2410-abliterated.i1-IQ3_S.gguf 3.43 GB d61878c8 download
ministral-8B-Instruct-2410-abliterated.i1-IQ3_XS.gguf 3.28 GB bdacb983 download
ministral-8B-Instruct-2410-abliterated.i1-IQ3_XXS.gguf 3.05 GB 9334b067 download
Q2_K 2 files 5.75 GB
ministral-8B-Instruct-2410-abliterated.i1-Q2_K.gguf 2.97 GB 148cd8f5 download
ministral-8B-Instruct-2410-abliterated.i1-Q2_K_S.gguf 2.78 GB 7869f877 download
IQ2 4 files 10.0 GB
ministral-8B-Instruct-2410-abliterated.i1-IQ2_M.gguf 2.76 GB 90249ee4 download
ministral-8B-Instruct-2410-abliterated.i1-IQ2_S.gguf 2.58 GB 7354c6ff download
ministral-8B-Instruct-2410-abliterated.i1-IQ2_XS.gguf 2.43 GB db89b0b9 download
ministral-8B-Instruct-2410-abliterated.i1-IQ2_XXS.gguf 2.24 GB 55ef6d44 download
IQ1 2 files 3.91 GB
ministral-8B-Instruct-2410-abliterated.i1-IQ1_M.gguf 2.02 GB a7841f3f download
ministral-8B-Instruct-2410-abliterated.i1-IQ1_S.gguf 1.89 GB a0a2d439 download
Auxiliary files 3 files 5.11 MB
ministral-8B-Instruct-2410-abliterated.imatrix.gguf 5.10 MB 2774a198 download
README.md 7.10 KB a5ddf68d download
.gitattributes 3.67 KB 2ce58fb0 download

README current version from Hugging Face


base_model: realoperator42/ministral-8B-Instruct-2410-abliterated
datasets:

  • N/A
    language:
  • en
  • fr
  • de
  • es
  • it
  • pt
  • ru
  • zh
  • ja
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • ministral
  • mistral
  • text-generation
  • conversational

About

weighted/imatrix quants of https://huggingface.co/realoperator42/ministral-8B-Instruct-2410-abliterated

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

static quants are available at https://huggingface.co/mradermacher/ministral-8B-Instruct-2410-abliterated-GGUF

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 2.1 for the desperate
GGUF i1-IQ1_M 2.3 mostly desperate
GGUF i1-IQ2_XXS 2.5
GGUF i1-IQ2_XS 2.7
GGUF i1-IQ2_S 2.9
GGUF i1-IQ2_M 3.1
GGUF i1-Q2_K_S 3.1 very low quality
GGUF i1-Q2_K 3.3 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.4 lower quality
GGUF i1-IQ3_XS 3.6
GGUF i1-Q3_K_S 3.8 IQ3_XS probably better
GGUF i1-IQ3_S 3.8 beats Q3_K*
GGUF i1-IQ3_M 3.9
GGUF i1-Q3_K_M 4.1 IQ3_S probably better
GGUF i1-Q3_K_L 4.4 IQ3_M probably better
GGUF i1-IQ4_XS 4.5
GGUF i1-Q4_0 4.8 fast, low quality
GGUF i1-IQ4_NL 4.8 prefer IQ4_XS
GGUF i1-Q4_K_S 4.8 optimal size/speed/quality
GGUF i1-Q4_K_M 5.0 fast, recommended
GGUF i1-Q4_1 5.2
GGUF i1-Q5_K_S 5.7
GGUF i1-Q5_K_M 5.8
GGUF i1-Q6_K 6.7 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. 2025-12-07auto-patch README.md9313f017.1 KB
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  2. 2025-09-22auto-patch README.md28477d57.1 KB
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  3. 2025-09-22auto-patch README.mdb584bbe4.3 KB
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  4. 2025-09-22uploaded from backf5fe731499 B
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