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mradermacher/gemma-3-4b-it-abliterated-i1-GGUF

mradermacher Gemma 4B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 9,509
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='mlabonne/gemma-3-4b-it-abliterated' (base has 'abliterated' marker, assume M1 default)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
10K
637 last 30d - cooling
Likes
0
Model age
19mo ago
created 2025-03-18
Downloads over time
Now9.6K→from0↑0%
03.5K7K10.6K0 on Mar 12, 20259.6K on Oct 12Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 12, 2025 → Oct 12 · 123 snapshots · spans 579 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 · 2K downloads combined

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

Metadata

License
gemma
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:mlabonne/gemma-3-4b-it-abliterated base_model:quantized:mlabonne/gemma-3-4b-it-abliterated license:gemma endpoints_compatible region:us imatrix conversational

Related

Total size
45.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-10 21:29

Files by quantization

Q6_K 1 file 2.97 GB
gemma-3-4b-it-abliterated.i1-Q6_K.gguf 2.97 GB 78e0ac4d download
Q5_K 2 files 5.21 GB
gemma-3-4b-it-abliterated.i1-Q5_K_M.gguf 2.64 GB 9aa9e66b download
gemma-3-4b-it-abliterated.i1-Q5_K_S.gguf 2.57 GB ba1109f4 download
Q4 2 files 4.60 GB
gemma-3-4b-it-abliterated.i1-Q4_1.gguf 2.39 GB d4059331 download
gemma-3-4b-it-abliterated.i1-Q4_0.gguf 2.21 GB ec0b3d0b download
Q4_K 2 files 4.53 GB
gemma-3-4b-it-abliterated.i1-Q4_K_M.gguf 2.32 GB 60b05ac4 download
gemma-3-4b-it-abliterated.i1-Q4_K_S.gguf 2.21 GB 4f095fce download
IQ4 2 files 4.31 GB
gemma-3-4b-it-abliterated.i1-IQ4_NL.gguf 2.20 GB 70046baa download
gemma-3-4b-it-abliterated.i1-IQ4_XS.gguf 2.11 GB 58e84942 download
Q3_K 3 files 5.84 GB
gemma-3-4b-it-abliterated.i1-Q3_K_L.gguf 2.08 GB df1fcec8 download
gemma-3-4b-it-abliterated.i1-Q3_K_M.gguf 1.95 GB f2f2b293 download
gemma-3-4b-it-abliterated.i1-Q3_K_S.gguf 1.80 GB 5a69db67 download
IQ3 4 files 6.96 GB
gemma-3-4b-it-abliterated.i1-IQ3_M.gguf 1.85 GB 8e72187f download
gemma-3-4b-it-abliterated.i1-IQ3_S.gguf 1.80 GB 660d56af download
gemma-3-4b-it-abliterated.i1-IQ3_XS.gguf 1.74 GB 8902479f download
gemma-3-4b-it-abliterated.i1-IQ3_XXS.gguf 1.57 GB deb1c4c0 download
Q2_K 2 files 3.13 GB
gemma-3-4b-it-abliterated.i1-Q2_K.gguf 1.61 GB eee5fac4 download
gemma-3-4b-it-abliterated.i1-Q2_K_S.gguf 1.52 GB 5a2714f0 download
IQ2 4 files 5.31 GB
gemma-3-4b-it-abliterated.i1-IQ2_M.gguf 1.43 GB 4a313428 download
gemma-3-4b-it-abliterated.i1-IQ2_S.gguf 1.35 GB e3114bfb download
gemma-3-4b-it-abliterated.i1-IQ2_XS.gguf 1.31 GB 4035b597 download
gemma-3-4b-it-abliterated.i1-IQ2_XXS.gguf 1.22 GB 57f2ef54 download
IQ1 2 files 2.17 GB
gemma-3-4b-it-abliterated.i1-IQ1_M.gguf 1.12 GB 5277f310 download
gemma-3-4b-it-abliterated.i1-IQ1_S.gguf 1.06 GB 9744d52f download
Auxiliary files 3 files 3.27 MB
imatrix.dat 3.26 MB ccb6e7cc download
README.md 6.01 KB 909e9c44 download
.gitattributes 3.32 KB 6de8d433 download

README current version from Hugging Face


base_model: mlabonne/gemma-3-4b-it-abliterated
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/mlabonne/gemma-3-4b-it-abliterated

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-abliterated-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 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 3 versions

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

  1. 2025-07-10auto-patch README.md792b9196 KB
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  2. 2025-03-18auto-patch README.mde678eeb5.7 KB
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  3. 2025-03-18uploaded from nico114d18dc242 B
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