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

mradermacher/gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34-i1-GGUF

mradermacher Gemma 26B GGUF MoE second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 21,127
  • author_summary 3325 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='keithtyser/gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34' (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.

What is a refusal direction? →
Downloads · lifetime
21K
1K last 30d - cooling
Likes
1
Model age
5mo ago
created 2026-05-05
Downloads over time
Now21.5K→from4.1K↑424%
3.2K9.9K16.6K23.2K4.1K on May 621.5K on Oct 12MayJunJulAugSepOct
May 6 → Oct 12 · 63 snapshots · spans 159 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 gemma abliteration heretic model-forge refusal-ablation en base_model:keithtyser/gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34 base_model:quantized:keithtyser/gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34 license:gemma endpoints_compatible

Related

Total size
280 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-05 11:17

Files by quantization

Q6_K 1 file 21.1 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q6_K.gguf 21.1 GB aab72629 download
Q5_K 2 files 34.6 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q5_K_M.gguf 17.8 GB 25625cc0 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q5_K_S.gguf 16.8 GB f311798c download
Q4_K 2 files 30.0 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q4_K_M.gguf 15.6 GB 49d16f03 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q4_K_S.gguf 14.4 GB a57daa24 download
Q4 2 files 28.4 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q4_1.gguf 14.9 GB a9393127 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q4_0.gguf 13.5 GB bfc3b506 download
IQ4 1 file 13.0 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ4_XS.gguf 13.0 GB 34bebc6b download
Q3_K 3 files 36.6 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q3_K_L.gguf 12.9 GB 9253ce3a download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q3_K_M.gguf 12.4 GB 191647fa download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q3_K_S.gguf 11.4 GB 6a4aace8 download
IQ3 4 files 44.3 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ3_M.gguf 11.5 GB c1d7ad35 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ3_S.gguf 11.4 GB 2f58e85f download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ3_XS.gguf 10.8 GB c41ed2f3 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ3_XXS.gguf 10.5 GB df6856cd download
Q2_K 2 files 19.8 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q2_K_S.gguf 9.89 GB fb79cc22 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-Q2_K.gguf 9.86 GB 215a6b24 download
IQ2 4 files 36.7 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ2_M.gguf 9.67 GB 7fb77659 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ2_S.gguf 9.20 GB 2bb72d4e download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ2_XS.gguf 9.14 GB 3df47cf6 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ2_XXS.gguf 8.66 GB fe9a4640 download
IQ1 2 files 15.8 GB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ1_M.gguf 8.07 GB b3e16bb6 download
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.i1-IQ1_S.gguf 7.72 GB 86b5f2b0 download
Auxiliary files 3 files 54.3 MB
gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34.imatrix.gguf 54.3 MB 5659f8ad download
README.md 7.86 KB 19b18cdf download
.gitattributes 3.95 KB 6a3742d6 download

README current version from Hugging Face


base_model: keithtyser/gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • gemma
  • abliteration
  • heretic
  • model-forge
  • refusal-ablation

About

weighted/imatrix quants of https://huggingface.co/keithtyser/gemma-4-26B-A4B-it-local-abliterated-sota-internal-t34

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-local-abliterated-sota-internal-t34-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 3 versions

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

  1. 2026-05-05auto-patch README.md2281aec7.9 KB
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  2. 2026-05-05auto-patch README.md06aa5464.6 KB
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  3. 2026-05-05uploaded from nico1d33d720512 B
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