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mradermacher/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-i1-GGUF

mradermacher Gemma 31B GGUF second-order 262K ctx
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Response includes
  • classification m3
  • files 26
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  • author_summary 3324 models
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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 · lifetime
26K
1K last 30d - cooling
Likes
7
Model age
6mo ago
created 2026-04-07
Downloads over time
Now26.8K→from0↑0%
09.8K19.6K29.4K0 on Apr 826.8K on Oct 11AprMayJunJulAugSepOct
Apr 8 → Oct 11 · 66 snapshots · spans 186 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 · 3K 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 heretic uncensored unsloth finetune all use cases coder creative creative writing fiction writing plot generation

Related

Total size
312 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-06-30 03:16

Files by quantization

Q6_K 1 file 23.5 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q6_K.gguf 23.5 GB 7396162a download
Q5_K 2 files 40.2 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q5_K_M.gguf 20.3 GB ec6c7b14 download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q5_K_S.gguf 19.8 GB c53fd839 download
Q4 2 files 34.6 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q4_1.gguf 18.1 GB 3eab29d8 download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q4_0.gguf 16.5 GB 72c62418 download
Q4_K 2 files 33.9 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q4_K_M.gguf 17.4 GB 12242e30 download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q4_K_S.gguf 16.5 GB b67ad899 download
IQ4 1 file 15.6 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ4_XS.gguf 15.6 GB 7dab589a download
Q3_K 3 files 42.5 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q3_K_L.gguf 15.5 GB a6b42a7b download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q3_K_M.gguf 14.2 GB 7239770a download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q3_K_S.gguf 12.8 GB 928b75bd download
IQ3 4 files 49.7 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ3_M.gguf 13.4 GB 1de7e48a download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ3_S.gguf 12.8 GB 3460399e download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ3_XS.gguf 12.2 GB 567eda61 download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ3_XXS.gguf 11.2 GB 2f200f80 download
Q2_K 2 files 21.3 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q2_K.gguf 11.1 GB ad33fb63 download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-Q2_K_S.gguf 10.2 GB 6da48420 download
IQ2 4 files 36.6 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ2_M.gguf 10.2 GB d91707bf download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ2_S.gguf 9.46 GB 7096d143 download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ2_XS.gguf 8.88 GB 365f247a download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ2_XXS.gguf 8.08 GB 86d5eceb download
IQ1 2 files 13.9 GB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ1_M.gguf 7.20 GB 69732663 download
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.i1-IQ1_S.gguf 6.66 GB e3bedd44 download
Auxiliary files 3 files 13.1 MB
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking.imatrix.gguf 13.1 MB a6e12aeb download
README.md 8.48 KB 0faffe1c download
.gitattributes 4.09 KB e093300b download

README current version from Hugging Face


base_model: DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • unsloth
  • finetune
  • all use cases
  • coder
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • fiction writing
  • story generation
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction
  • roleplaying
  • bfloat16
  • all use cases

About

weighted/imatrix quants of https://huggingface.co/DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking

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

static quants are available at https://huggingface.co/mradermacher/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-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 7.3 for the desperate
GGUF i1-IQ1_M 7.8 mostly desperate
GGUF i1-IQ2_XXS 8.8
GGUF i1-IQ2_XS 9.6
GGUF i1-IQ2_S 10.3
GGUF i1-IQ2_M 11.0
GGUF i1-Q2_K_S 11.1 very low quality
GGUF i1-Q2_K 12.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.2 lower quality
GGUF i1-IQ3_XS 13.2
GGUF i1-IQ3_S 13.9 beats Q3_K*
GGUF i1-Q3_K_S 13.9 IQ3_XS probably better
GGUF i1-IQ3_M 14.5
GGUF i1-Q3_K_M 15.4 IQ3_S probably better
GGUF i1-Q3_K_L 16.7 IQ3_M probably better
GGUF i1-IQ4_XS 16.8
GGUF i1-Q4_0 17.8 fast, low quality
GGUF i1-Q4_K_S 17.9 optimal size/speed/quality
GGUF i1-Q4_K_M 18.8 fast, recommended
GGUF i1-Q4_1 19.6
GGUF i1-Q5_K_S 21.4
GGUF i1-Q5_K_M 21.9
GGUF i1-Q6_K 25.3 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 7 versions

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

  1. 2026-06-30auto-patch README.md9e7eee38.5 KB
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  2. 2026-06-02auto-patch README.md435a5ff8.3 KB
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  3. 2026-04-08auto-patch README.mdc0283a48.5 KB
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  4. 2026-04-08auto-patch README.md004c7fc7.8 KB
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  5. 2026-04-07auto-patch README.md3c50bd57.1 KB
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  6. 2026-04-07auto-patch README.mda35caf54.8 KB
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  7. 2026-04-07uploaded from nico1e2d1a35514 B
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Discussions 1 thread

  1. 2026-04-22Hosted Optionclosed1 💬#1
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