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

mradermacher Gemma 4B GGUF second-order 131K ctx
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Response includes
  • classification m3
  • files 27
  • hub_downloads_all_time 9,166
  • 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
9K
2K last 30d - stable
Likes
7
Model age
10mo ago
created 2025-11-23
Downloads over time
Now9.5K→from1.9K↑389%
1.6K4.5K7.3K10.2K1.9K on Nov 26, 20259.5K on Oct 11Nov '25JanMarMayJulSep
Nov 26, 2025 → Oct 11 · 87 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 · 3K 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-balanced base_model:quantized:DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-balanced endpoints_compatible region:us

Related

Total size
45.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-05 23:10

Files by quantization

Q6_K 1 file 2.97 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q6_K.gguf 2.97 GB 41980bcb download
Q5_K 2 files 5.21 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q5_K_M.gguf 2.64 GB c3c12f41 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q5_K_S.gguf 2.57 GB 85a15990 download
Q4 2 files 4.60 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q4_1.gguf 2.39 GB 7633a0b5 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q4_0.gguf 2.21 GB b8ae7a60 download
Q4_K 2 files 4.53 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q4_K_M.gguf 2.32 GB c0f8480e download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q4_K_S.gguf 2.21 GB 9614bf90 download
IQ4 2 files 4.31 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ4_NL.gguf 2.20 GB 628023a0 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ4_XS.gguf 2.11 GB bfdfd37b download
Q3_K 3 files 5.84 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q3_K_L.gguf 2.08 GB 1f46847b download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q3_K_M.gguf 1.95 GB 22e5360a download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q3_K_S.gguf 1.80 GB a31e3781 download
IQ3 4 files 6.96 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ3_M.gguf 1.85 GB 7fbcf09c download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ3_S.gguf 1.80 GB 8d6a474c download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ3_XS.gguf 1.74 GB bec11aa9 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ3_XXS.gguf 1.57 GB 1f809d6d download
Q2_K 2 files 3.13 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q2_K.gguf 1.61 GB 1d49c8bc download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-Q2_K_S.gguf 1.52 GB f6b7f7af download
IQ2 4 files 5.31 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ2_M.gguf 1.43 GB b0099646 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ2_S.gguf 1.35 GB 43492026 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ2_XS.gguf 1.31 GB 861dad83 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ2_XXS.gguf 1.22 GB e72e6e64 download
IQ1 2 files 2.17 GB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ1_M.gguf 1.12 GB ff6a8e81 download
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.i1-IQ1_S.gguf 1.06 GB 3896bc61 download
Auxiliary files 3 files 3.30 MB
gemma-3-4b-it-heretic-uncensored-abliterated-balanced.imatrix.gguf 3.29 MB 6aba77cd download
README.md 7.98 KB 5bde4ed9 download
.gitattributes 4.03 KB 6894e6f6 download

README current version from Hugging Face


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

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-balanced-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. 2025-12-05auto-patch README.mdfe91c788 KB
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  2. 2025-11-24auto-patch README.mdc9c09038 KB
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  3. 2025-11-23auto-patch README.mde696e1e2.8 KB
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  4. 2025-11-23uploaded from nico1d59f1f8507 B
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