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mradermacher/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme-i1-GGUF

mradermacher Gemma 4B GGUF second-order 131K ctx
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Response includes
  • classification m3
  • files 27
  • hub_downloads_all_time 47,346
  • 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 · lifetime
47K
1K last 30d - cooling
Likes
10
Model age
10mo ago
created 2025-11-23
Downloads over time
Now47.7K→from3.4K↑1,323%
35017.6K34.9K52.2K3.4K on Nov 26, 202547.7K on Oct 11Nov '25JanMarMayJulSep
Nov 26, 2025 → Oct 11 · 89 snapshots · spans 319 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 · 6K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf heretic uncensored decensored abliterated finetune en base_model:DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme base_model:quantized:DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme endpoints_compatible region:us

Related

Total size
45.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-06 00:19

Files by quantization

Q6_K 1 file 2.97 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q6_K.gguf 2.97 GB 425fb2ab download
Q5_K 2 files 5.21 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q5_K_M.gguf 2.64 GB 54f0146d download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q5_K_S.gguf 2.57 GB 6a30ea0a download
Q4 2 files 4.60 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q4_1.gguf 2.39 GB 18327a76 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q4_0.gguf 2.21 GB dc551972 download
Q4_K 2 files 4.53 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q4_K_M.gguf 2.32 GB 76680892 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q4_K_S.gguf 2.21 GB 868ccfa7 download
IQ4 2 files 4.31 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ4_NL.gguf 2.20 GB 69690f62 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ4_XS.gguf 2.11 GB 7583f01b download
Q3_K 3 files 5.84 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q3_K_L.gguf 2.08 GB 8a0fbe55 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q3_K_M.gguf 1.95 GB 30053921 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q3_K_S.gguf 1.80 GB 6f38d263 download
IQ3 4 files 6.96 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ3_M.gguf 1.85 GB e8df75bd download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ3_S.gguf 1.80 GB 6defb78d download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ3_XS.gguf 1.74 GB 0a867c55 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ3_XXS.gguf 1.57 GB af76dc7f download
Q2_K 2 files 3.13 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q2_K.gguf 1.61 GB 85dabd96 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-Q2_K_S.gguf 1.52 GB 57365362 download
IQ2 4 files 5.31 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ2_M.gguf 1.43 GB 8d7af43e download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ2_S.gguf 1.35 GB 9737b484 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ2_XS.gguf 1.31 GB 06141e84 download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ2_XXS.gguf 1.22 GB dffa84d7 download
IQ1 2 files 2.17 GB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ1_M.gguf 1.12 GB 3b44738b download
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.i1-IQ1_S.gguf 1.06 GB f276a5cf download
Auxiliary files 3 files 3.30 MB
gemma-3-4b-it-heretic-uncensored-abliterated-Extreme.imatrix.gguf 3.29 MB 9aaf9eaf download
README.md 7.93 KB 2caf3cdb download
.gitattributes 4.01 KB a148826b download

README current version from Hugging Face


base_model: DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • decensored
  • abliterated
  • finetune

About

weighted/imatrix quants of https://huggingface.co/DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme

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

static quants are available at https://huggingface.co/mradermacher/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme-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 1.2 for the desperate
GGUF i1-IQ1_M 1.3 mostly desperate
GGUF i1-IQ2_XXS 1.4
GGUF i1-IQ2_XS 1.5
GGUF i1-IQ2_S 1.5
GGUF i1-IQ2_M 1.6
GGUF i1-Q2_K_S 1.7 very low quality
GGUF i1-IQ3_XXS 1.8 lower quality
GGUF i1-Q2_K 1.8 IQ3_XXS probably better
GGUF i1-IQ3_XS 2.0
GGUF i1-IQ3_S 2.0 beats Q3_K*
GGUF i1-Q3_K_S 2.0 IQ3_XS probably better
GGUF i1-IQ3_M 2.1
GGUF i1-Q3_K_M 2.2 IQ3_S probably better
GGUF i1-Q3_K_L 2.3 IQ3_M probably better
GGUF i1-IQ4_XS 2.4
GGUF i1-IQ4_NL 2.5 prefer IQ4_XS
GGUF i1-Q4_0 2.5 fast, low quality
GGUF i1-Q4_K_S 2.5 optimal size/speed/quality
GGUF i1-Q4_K_M 2.6 fast, recommended
GGUF i1-Q4_1 2.7
GGUF i1-Q5_K_S 2.9
GGUF i1-Q5_K_M 2.9
GGUF i1-Q6_K 3.3 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 4 versions

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

  1. 2025-12-06auto-patch README.mdfd673947.9 KB
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  2. 2025-11-24auto-patch README.mdbe11c077.9 KB
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  3. 2025-11-23auto-patch README.mdc9f99ff2.8 KB
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  4. 2025-11-23uploaded from nico1898cc0d506 B
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Discussions 1 thread

  1. 2026-01-04Anyone having generation issues on Ollama? (I will report it there too)open1 💬#1
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