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mradermacher/Ministral-3-8B-Reasoning-UNCENSORED-heretic-i1-GGUF

mradermacher 8B GGUF second-order
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Response includes
  • classification m3
  • files 27
  • author_summary 3386 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
0
Likes
2
Model age
today
created 2026-10-22

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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 unsloth heretic uncensored decensored abliterated en fr es de

Related

Total size
92.2 GB
Files
27
Quantizations
11
Registered
2026-10-22 09:00
Last updated on HF
2026-10-22 07:56

Files by quantization

Q6_K 1 file 6.49 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q6_K.gguf 6.49 GB 83ce88d2 download
Q5_K 2 files 11.2 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q5_K_M.gguf 5.64 GB ddba99c9 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q5_K_S.gguf 5.51 GB e6b3136d download
Q4 2 files 9.65 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q4_1.gguf 5.05 GB 00efc6d1 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q4_0.gguf 4.60 GB 13040889 download
Q4_K 2 files 9.46 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q4_K_M.gguf 4.84 GB c5033eaf download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q4_K_S.gguf 4.61 GB f738f745 download
IQ4 2 files 8.98 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ4_NL.gguf 4.60 GB d2118a95 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ4_XS.gguf 4.37 GB 974ca469 download
Q3_K 3 files 11.8 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q3_K_L.gguf 4.25 GB 4b2d9eb0 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q3_K_M.gguf 3.95 GB 84b14de4 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q3_K_S.gguf 3.60 GB f05335ff download
IQ3 4 files 14.0 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ3_M.gguf 3.72 GB 9ab0d242 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ3_S.gguf 3.62 GB ee7f466c download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ3_XS.gguf 3.46 GB 18236b0c download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ3_XXS.gguf 3.22 GB f9af5360 download
Q2_K 2 files 6.05 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q2_K.gguf 3.12 GB d172e439 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-Q2_K_S.gguf 2.93 GB 53e6dca9 download
IQ2 4 files 10.5 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ2_M.gguf 2.89 GB 792bb736 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ2_S.gguf 2.71 GB 40435681 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ2_XS.gguf 2.56 GB de6cc5f6 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ2_XXS.gguf 2.35 GB 2b54b5ae download
IQ1 2 files 4.09 GB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ1_M.gguf 2.12 GB 2183f724 download
Ministral-3-8B-Reasoning-UNCENSORED-heretic.i1-IQ1_S.gguf 1.98 GB 35fa5431 download
Auxiliary files 3 files 10.2 MB
Ministral-3-8B-Reasoning-UNCENSORED-heretic.imatrix.gguf 10.2 MB 3d65a311 download
README.md 7.53 KB 43597e62 download
.gitattributes 3.79 KB e79c1a8a download

README current version from Hugging Face


base_model: xtools-at/Ministral-3-8B-Reasoning-UNCENSORED-heretic
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
  • unsloth
  • heretic
  • uncensored
  • decensored
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/xtools-at/Ministral-3-8B-Reasoning-UNCENSORED-heretic

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

static quants are available at https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-UNCENSORED-heretic-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 2.2 for the desperate
GGUF i1-IQ1_M 2.4 mostly desperate
GGUF i1-IQ2_XXS 2.6
GGUF i1-IQ2_XS 2.8
GGUF i1-IQ2_S 3.0
GGUF i1-IQ2_M 3.2
GGUF i1-Q2_K_S 3.2 very low quality
GGUF i1-Q2_K 3.5 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.6 lower quality
GGUF i1-IQ3_XS 3.8
GGUF i1-Q3_K_S 4.0 IQ3_XS probably better
GGUF i1-IQ3_S 4.0 beats Q3_K*
GGUF i1-IQ3_M 4.1
GGUF i1-Q3_K_M 4.3 IQ3_S probably better
GGUF i1-Q3_K_L 4.7 IQ3_M probably better
GGUF i1-IQ4_XS 4.8
GGUF i1-Q4_0 5.0 fast, low quality
GGUF i1-IQ4_NL 5.0 prefer IQ4_XS
GGUF i1-Q4_K_S 5.1 optimal size/speed/quality
GGUF i1-Q4_K_M 5.3 fast, recommended
GGUF i1-Q4_1 5.5
GGUF i1-Q5_K_S 6.0
GGUF i1-Q5_K_M 6.2
GGUF i1-Q6_K 7.1 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.

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