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

mradermacher 3B GGUF second-order
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Response includes
  • classification m3
  • files 16
  • author_summary 3368 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
0
Model age
today
created 2026-10-21

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
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf mistral-common unsloth heretic uncensored decensored abliterated en fr es de

Related

Total size
29.1 GB
Files
16
Quantizations
9
Registered
2026-10-21 03:00
Last updated on HF
2026-10-21 02:44

Files by quantization

F16 2 files 7.18 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.f16.gguf 6.39 GB da5d53fc download
Ministral-3-3B-Reasoning-UNCENSORED-heretic.mmproj-f16.gguf 801 MB 7a22735c download
Q8_0 2 files 3.83 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q8_0.gguf 3.40 GB c7371c6a download
Ministral-3-3B-Reasoning-UNCENSORED-heretic.mmproj-Q8_0.gguf 439 MB 37e0787b download
Q6_K 1 file 2.63 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q6_K.gguf 2.63 GB 903e1862 download
Q5_K 2 files 4.56 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q5_K_M.gguf 2.30 GB 8548d12d download
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q5_K_S.gguf 2.25 GB 5913c955 download
Q4_K 2 files 3.91 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q4_K_M.gguf 2.00 GB a129e699 download
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q4_K_S.gguf 1.91 GB 3aba9eba download
IQ4 1 file 1.84 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.IQ4_XS.gguf 1.84 GB ecaf8179 download
Q3_K 3 files 5.00 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q3_K_L.gguf 1.80 GB a52cc2b9 download
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q3_K_M.gguf 1.67 GB 26bd3236 download
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q3_K_S.gguf 1.53 GB 22185c0f download
Q2_K 1 file 1.36 GB
Ministral-3-3B-Reasoning-UNCENSORED-heretic.Q2_K.gguf 1.36 GB 27e17487 download
Auxiliary files 2 files 7.47 KB
README.md 4.73 KB 5dac2e9b download
.gitattributes 2.74 KB 0569c720 download

README current version from Hugging Face


base_model: xtools-at/Ministral-3-3B-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

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

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-UNCENSORED-heretic-i1-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 mmproj-Q8_0 0.6 multi-modal supplement
GGUF mmproj-f16 0.9 multi-modal supplement
GGUF Q2_K 1.6
GGUF Q3_K_S 1.7
GGUF Q3_K_M 1.9 lower quality
GGUF Q3_K_L 2.0
GGUF IQ4_XS 2.1
GGUF Q4_K_S 2.2 fast, recommended
GGUF Q4_K_M 2.2 fast, recommended
GGUF Q5_K_S 2.5
GGUF Q5_K_M 2.6
GGUF Q6_K 2.9 very good quality
GGUF Q8_0 3.8 fast, best quality
GGUF f16 7.0 16 bpw, overkill

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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