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mradermacher/gemma-4-12B-it-heretic_decensored-i1-GGUF

mradermacher Gemma 12B GGUF second-order
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  • classification m3
  • files 27
  • author_summary 3324 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
2K
↑ 748% in 90 days
Likes
2
Model age
3mo ago
created 2026-06-18
Downloads over time
Now14.6K→from1.7K↑748%
1.1K6K10.9K15.9K1.7K on Jun 1714.6K on Oct 11JunJulAugSepOct
Jun 17 → Oct 11 · 56 snapshots · spans 116 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 · 4K 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
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf text-generation-inference pytorch decensored abliterated unfiltered unredacted heretic bf16 en base_model:prithivMLmods/gemma-4-12B-it-heretic_decensored

Related

Total size
131 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-03 11:09

Files by quantization

Q6_K 1 file 9.11 GB
gemma-4-12B-it-heretic_decensored.i1-Q6_K.gguf 9.11 GB 2ef7b95e download
Q5_K 2 files 15.7 GB
gemma-4-12B-it-heretic_decensored.i1-Q5_K_M.gguf 7.96 GB ea335e22 download
gemma-4-12B-it-heretic_decensored.i1-Q5_K_S.gguf 7.77 GB fea6aa6e download
Q4 2 files 13.6 GB
gemma-4-12B-it-heretic_decensored.i1-Q4_1.gguf 7.13 GB a9c507db download
gemma-4-12B-it-heretic_decensored.i1-Q4_0.gguf 6.52 GB 082151dc download
Q4_K 2 files 13.4 GB
gemma-4-12B-it-heretic_decensored.i1-Q4_K_M.gguf 6.87 GB 991f91df download
gemma-4-12B-it-heretic_decensored.i1-Q4_K_S.gguf 6.54 GB 6b06d787 download
IQ4 2 files 12.7 GB
gemma-4-12B-it-heretic_decensored.i1-IQ4_NL.gguf 6.50 GB c340fabd download
gemma-4-12B-it-heretic_decensored.i1-IQ4_XS.gguf 6.18 GB ee8a0dab download
Q3_K 3 files 16.9 GB
gemma-4-12B-it-heretic_decensored.i1-Q3_K_L.gguf 6.12 GB cb80b800 download
gemma-4-12B-it-heretic_decensored.i1-Q3_K_M.gguf 5.67 GB 40ffaf66 download
gemma-4-12B-it-heretic_decensored.i1-Q3_K_S.gguf 5.15 GB db36905e download
IQ3 4 files 19.9 GB
gemma-4-12B-it-heretic_decensored.i1-IQ3_M.gguf 5.34 GB 77375e69 download
gemma-4-12B-it-heretic_decensored.i1-IQ3_S.gguf 5.15 GB e156e56a download
gemma-4-12B-it-heretic_decensored.i1-IQ3_XS.gguf 4.91 GB 6cf2f04e download
gemma-4-12B-it-heretic_decensored.i1-IQ3_XXS.gguf 4.52 GB 88d065b0 download
Q2_K 2 files 8.69 GB
gemma-4-12B-it-heretic_decensored.i1-Q2_K.gguf 4.50 GB d9c6668d download
gemma-4-12B-it-heretic_decensored.i1-Q2_K_S.gguf 4.19 GB f154b6c0 download
IQ2 4 files 14.8 GB
gemma-4-12B-it-heretic_decensored.i1-IQ2_M.gguf 4.07 GB 1c73e3be download
gemma-4-12B-it-heretic_decensored.i1-IQ2_S.gguf 3.80 GB 77850917 download
gemma-4-12B-it-heretic_decensored.i1-IQ2_XS.gguf 3.62 GB ca02ec28 download
gemma-4-12B-it-heretic_decensored.i1-IQ2_XXS.gguf 3.32 GB 03a7191e download
IQ1 2 files 5.76 GB
gemma-4-12B-it-heretic_decensored.i1-IQ1_M.gguf 2.98 GB 828c9f5f download
gemma-4-12B-it-heretic_decensored.i1-IQ1_S.gguf 2.78 GB 22e95778 download
Auxiliary files 3 files 7.14 MB
gemma-4-12B-it-heretic_decensored.imatrix.gguf 7.13 MB d98c3ac2 download
README.md 6.99 KB 93e7d982 download
.gitattributes 3.54 KB 5f032446 download

README current version from Hugging Face


base_model: prithivMLmods/gemma-4-12B-it-heretic_decensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • pytorch
  • decensored
  • abliterated
  • unfiltered
  • unredacted
  • heretic
  • bf16

About

weighted/imatrix quants of https://huggingface.co/prithivMLmods/gemma-4-12B-it-heretic_decensored

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

static quants are available at https://huggingface.co/mradermacher/gemma-4-12B-it-heretic_decensored-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 3.1 for the desperate
GGUF i1-IQ1_M 3.3 mostly desperate
GGUF i1-IQ2_XXS 3.7
GGUF i1-IQ2_XS 4.0
GGUF i1-IQ2_S 4.2
GGUF i1-IQ2_M 4.5
GGUF i1-Q2_K_S 4.6 very low quality
GGUF i1-Q2_K 4.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 4.9 lower quality
GGUF i1-IQ3_XS 5.4
GGUF i1-IQ3_S 5.6 beats Q3_K*
GGUF i1-Q3_K_S 5.6 IQ3_XS probably better
GGUF i1-IQ3_M 5.8
GGUF i1-Q3_K_M 6.2 IQ3_S probably better
GGUF i1-Q3_K_L 6.7 IQ3_M probably better
GGUF i1-IQ4_XS 6.7
GGUF i1-IQ4_NL 7.1 prefer IQ4_XS
GGUF i1-Q4_0 7.1 fast, low quality
GGUF i1-Q4_K_S 7.1 optimal size/speed/quality
GGUF i1-Q4_K_M 7.5 fast, recommended
GGUF i1-Q4_1 7.8
GGUF i1-Q5_K_S 8.4
GGUF i1-Q5_K_M 8.6
GGUF i1-Q6_K 9.9 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 5 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-07-03auto-patch README.md23456847 KB
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  2. 2026-06-30auto-patch README.md55302076.8 KB
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  3. 2026-06-18auto-patch README.md24a1d577 KB
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  4. 2026-06-18auto-patch README.mda3440786.8 KB
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  5. 2026-06-18uploaded from nico1d54c3f7493 B
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