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mradermacher/gemma-3-4b-it-qat-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 4,573
  • 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-qat-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
5K
610 last 30d - stable
Likes
1
Model age
16mo ago
created 2025-05-29
Downloads over time
Now4.7K→from395↑1,085%
1811.8K3.5K5.1K395 on May 28, 20254.7K on Oct 11May '25Aug '25Nov '25FebMayAug
May 28, 2025 → Oct 11 · 111 snapshots · spans 501 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 · 995 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-qat-abliterated base_model:quantized:mlabonne/gemma-3-4b-it-qat-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
2025-05-29 19:00

Files by quantization

Q6_K 1 file 2.97 GB
gemma-3-4b-it-qat-abliterated.i1-Q6_K.gguf 2.97 GB 2bcaa0c2 download
Q5_K 2 files 5.21 GB
gemma-3-4b-it-qat-abliterated.i1-Q5_K_M.gguf 2.64 GB 0376adfa download
gemma-3-4b-it-qat-abliterated.i1-Q5_K_S.gguf 2.57 GB d5e4d672 download
Q4 2 files 4.60 GB
gemma-3-4b-it-qat-abliterated.i1-Q4_1.gguf 2.39 GB 415d8d0d download
gemma-3-4b-it-qat-abliterated.i1-Q4_0.gguf 2.21 GB c3819ad7 download
Q4_K 2 files 4.53 GB
gemma-3-4b-it-qat-abliterated.i1-Q4_K_M.gguf 2.32 GB b96d1404 download
gemma-3-4b-it-qat-abliterated.i1-Q4_K_S.gguf 2.21 GB 349bb70e download
IQ4 2 files 4.31 GB
gemma-3-4b-it-qat-abliterated.i1-IQ4_NL.gguf 2.20 GB f087bbc8 download
gemma-3-4b-it-qat-abliterated.i1-IQ4_XS.gguf 2.11 GB 63604734 download
Q3_K 3 files 5.84 GB
gemma-3-4b-it-qat-abliterated.i1-Q3_K_L.gguf 2.08 GB 2357156b download
gemma-3-4b-it-qat-abliterated.i1-Q3_K_M.gguf 1.95 GB 070fb036 download
gemma-3-4b-it-qat-abliterated.i1-Q3_K_S.gguf 1.80 GB 1f0f36ee download
IQ3 4 files 6.96 GB
gemma-3-4b-it-qat-abliterated.i1-IQ3_M.gguf 1.85 GB 33979071 download
gemma-3-4b-it-qat-abliterated.i1-IQ3_S.gguf 1.80 GB 9b13abad download
gemma-3-4b-it-qat-abliterated.i1-IQ3_XS.gguf 1.74 GB cb86c13f download
gemma-3-4b-it-qat-abliterated.i1-IQ3_XXS.gguf 1.57 GB 0c5524d2 download
Q2_K 2 files 3.13 GB
gemma-3-4b-it-qat-abliterated.i1-Q2_K.gguf 1.61 GB f0079648 download
gemma-3-4b-it-qat-abliterated.i1-Q2_K_S.gguf 1.52 GB 1b26a992 download
IQ2 4 files 5.31 GB
gemma-3-4b-it-qat-abliterated.i1-IQ2_M.gguf 1.43 GB b70be2c6 download
gemma-3-4b-it-qat-abliterated.i1-IQ2_S.gguf 1.35 GB 9640311f download
gemma-3-4b-it-qat-abliterated.i1-IQ2_XS.gguf 1.31 GB 1ff148ac download
gemma-3-4b-it-qat-abliterated.i1-IQ2_XXS.gguf 1.22 GB d4892cff download
IQ1 2 files 2.17 GB
gemma-3-4b-it-qat-abliterated.i1-IQ1_M.gguf 1.12 GB 6545fd11 download
gemma-3-4b-it-qat-abliterated.i1-IQ1_S.gguf 1.06 GB 14d2877f download
Auxiliary files 3 files 3.27 MB
imatrix.dat 3.26 MB a2ae66d7 download
README.md 5.88 KB bccffde8 download
.gitattributes 3.42 KB d946f0a6 download

README current version from Hugging Face


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

  • en
    library_name: transformers
    license: gemma
    quantized_by: mradermacher

About

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

static quants are available at https://huggingface.co/mradermacher/gemma-3-4b-it-qat-abliterated-GGUF

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 2 versions

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

  1. 2025-05-29auto-patch README.mdce713505.9 KB
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  2. 2025-05-29uploaded from back40fb3ae246 B
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