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mradermacher/gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source-GGUF

mradermacher Gemma 31B GGUF second-order
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Response includes
  • classification m3
  • files 15
  • author_summary 3427 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 2026-10-30

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
Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf unsloth horror halloween finetune abliterated uncensored heretic not-for-all-audiences 13 reasoning modes 13 instruct modes

Related

Total size
197 GB
Files
15
Quantizations
9
Registered
2026-10-30 11:01
Last updated on HF
2026-10-30 11:40

Files by quantization

Q8_0 2 files 31.1 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q8_0.gguf 30.4 GB 34d2e55b download
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.mmproj-Q8_0.gguf 772 MB a2c2c296 download
Q6_K 1 file 23.5 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q6_K.gguf 23.5 GB 646f07fa download
Q5_K 2 files 40.2 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q5_K_M.gguf 20.3 GB 1c577715 download
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q5_K_S.gguf 19.8 GB 3276d20d download
Q4_K 2 files 33.9 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q4_K_M.gguf 17.4 GB ad5d10a6 download
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q4_K_S.gguf 16.5 GB 3d2422ef download
IQ4 1 file 15.7 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.IQ4_XS.gguf 15.7 GB 09791214 download
Q3_K 3 files 42.5 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q3_K_L.gguf 15.5 GB 4ee47d1b download
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q3_K_M.gguf 14.2 GB 26a66be0 download
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q3_K_S.gguf 12.8 GB 492da2e9 download
Q2_K 1 file 11.1 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.Q2_K.gguf 11.1 GB 361b0e9e download
F16 1 file 1.12 GB
gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source.mmproj-f16.gguf 1.12 GB 57fb8c7e download
Auxiliary files 2 files 8.20 KB
README.md 5.37 KB 24c72a7c download
.gitattributes 2.83 KB 48fdf5d2 download

README current version from Hugging Face


base_model: DavidAU/gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • unsloth
  • horror
  • halloween
  • finetune
  • abliterated
  • uncensored
  • heretic
  • not-for-all-audiences
  • unsloth
  • horror
  • halloween
  • finetune
  • abliterated
  • uncensored
  • heretic
  • not-for-all-audiences
  • heretic
  • uncensored
  • 13 reasoning modes
  • 13 instruct modes
  • 10 EVIL AI Constructs
  • Turbo-Brilliance Evil Ed
  • Halloween O/S
  • thinking
  • reasoning
  • creative
  • creative writing
  • all genres
  • story
  • writing
  • fiction
  • roleplaying
  • evil sims

About

static quants of https://huggingface.co/DavidAU/gemma-4-31B-it-Halloween-Terror-Heretic-Uncensored-source

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 0.9 multi-modal supplement
GGUF mmproj-f16 1.3 multi-modal supplement
GGUF Q2_K 12.0
GGUF Q3_K_S 13.9
GGUF Q3_K_M 15.4 lower quality
GGUF Q3_K_L 16.7
GGUF Q4_K_S 17.9 fast, recommended
GGUF Q4_K_M 18.8 fast, recommended
GGUF Q5_K_S 21.4
GGUF Q5_K_M 21.9
GGUF Q6_K 25.3 very good quality
GGUF Q8_0 32.7 fast, best quality

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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