← back to catalog · registered 2026-08-22 13:56

mradermacher/gemma-4-26B-A4B-it-ara-abliterated-i1-GGUF

mradermacher Gemma 26B GGUF MoE multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 21,787
  • 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='jenerallee78/gemma-4-26B-A4B-it-ara-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
22K
2K last 30d - cooling
Likes
3
Model age
5mo ago
created 2026-04-29
Downloads over time
Now22.1K→from4.7K↑374%
3.8K10.5K17.1K23.8K4.7K on Apr 2922.1K on Oct 11AprMayJunJulAugSepOct
Apr 29 → Oct 11 · 63 snapshots · spans 165 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
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliteration uncensored gemma4 moe ara multimodal vision conversational en base_model:jenerallee78/gemma-4-26B-A4B-it-ara-abliterated

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-07 16:43

Files by quantization

Q6_K 1 file 21.1 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-Q6_K.gguf 21.1 GB 544a7bcf download
Q5_K 2 files 34.6 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-Q5_K_M.gguf 17.8 GB e0b2b312 download
gemma-4-26B-A4B-it-ara-abliterated.i1-Q5_K_S.gguf 16.8 GB 990cf572 download
Q4_K 2 files 30.0 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-Q4_K_M.gguf 15.6 GB 8063ab6d download
gemma-4-26B-A4B-it-ara-abliterated.i1-Q4_K_S.gguf 14.4 GB 464cdfb4 download
Q4 2 files 28.4 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-Q4_1.gguf 14.9 GB 99a83e39 download
gemma-4-26B-A4B-it-ara-abliterated.i1-Q4_0.gguf 13.5 GB 2c9d9ad6 download
IQ4 1 file 13.0 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ4_XS.gguf 13.0 GB 835f494a download
Q3_K 3 files 36.6 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-Q3_K_L.gguf 12.9 GB d9ead9f1 download
gemma-4-26B-A4B-it-ara-abliterated.i1-Q3_K_M.gguf 12.4 GB e099bc2e download
gemma-4-26B-A4B-it-ara-abliterated.i1-Q3_K_S.gguf 11.4 GB 2aa883c7 download
IQ3 4 files 44.3 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ3_M.gguf 11.5 GB 53a8f28f download
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ3_S.gguf 11.4 GB cb78f3c3 download
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ3_XS.gguf 10.8 GB 54c2ae4f download
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ3_XXS.gguf 10.5 GB 881adb4b download
Q2_K 2 files 19.8 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-Q2_K_S.gguf 9.89 GB 0dd514b8 download
gemma-4-26B-A4B-it-ara-abliterated.i1-Q2_K.gguf 9.86 GB 2d0260f0 download
IQ2 4 files 36.7 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ2_M.gguf 9.66 GB b9be6fe5 download
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ2_S.gguf 9.20 GB de529473 download
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ2_XS.gguf 9.14 GB 2263d1c5 download
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ2_XXS.gguf 8.66 GB c047b037 download
IQ1 2 files 15.8 GB
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ1_M.gguf 8.07 GB a7091f7a download
gemma-4-26B-A4B-it-ara-abliterated.i1-IQ1_S.gguf 7.72 GB 83a7384f download
Auxiliary files 3 files 54.3 MB
gemma-4-26B-A4B-it-ara-abliterated.imatrix.gguf 54.3 MB e193ded0 download
README.md 6.85 KB b78c342f download
.gitattributes 3.49 KB 6ac57b4b download

README current version from Hugging Face


base_model: jenerallee78/gemma-4-26B-A4B-it-ara-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliteration
  • uncensored
  • gemma4
  • moe
  • ara
  • multimodal
  • vision
  • conversational

About

weighted/imatrix quants of https://huggingface.co/jenerallee78/gemma-4-26B-A4B-it-ara-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-4-26B-A4B-it-ara-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 imatrix 0.2 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 8.4 for the desperate
GGUF i1-IQ1_M 8.8 mostly desperate
GGUF i1-IQ2_XXS 9.4
GGUF i1-IQ2_XS 9.9
GGUF i1-IQ2_S 10.0
GGUF i1-IQ2_M 10.5
GGUF i1-Q2_K 10.7 IQ3_XXS probably better
GGUF i1-Q2_K_S 10.7 very low quality
GGUF i1-IQ3_XXS 11.4 lower quality
GGUF i1-IQ3_XS 11.7
GGUF i1-IQ3_S 12.3 beats Q3_K*
GGUF i1-Q3_K_S 12.3 IQ3_XS probably better
GGUF i1-IQ3_M 12.5
GGUF i1-Q3_K_M 13.4 IQ3_S probably better
GGUF i1-Q3_K_L 13.9 IQ3_M probably better
GGUF i1-IQ4_XS 14.0
GGUF i1-Q4_0 14.6 fast, low quality
GGUF i1-Q4_K_S 15.6 optimal size/speed/quality
GGUF i1-Q4_1 16.1
GGUF i1-Q4_K_M 16.9 fast, recommended
GGUF i1-Q5_K_S 18.1
GGUF i1-Q5_K_M 19.2
GGUF i1-Q6_K 22.7 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 6 versions

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

  1. 2026-07-07auto-patch README.mdf410acd6.9 KB
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  2. 2026-06-30auto-patch README.md8f3646a6.7 KB
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  3. 2026-04-29auto-patch README.md0f93ddf6.9 KB
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  4. 2026-04-29auto-patch README.mddb5dd7c5.8 KB
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  5. 2026-04-29auto-patch README.md6ada8773 KB
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  6. 2026-04-29uploaded from nico1639af40494 B
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