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

mradermacher/gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS-i1-GGUF

mradermacher Gemma GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 10,823
  • 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='treadon/gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS' (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
11K
1K last 30d - stable
Likes
1
Model age
5mo ago
created 2026-05-03
Downloads over time
Now11.3K→from5.3K↑112%
3.9K6.6K9.3K12K5.3K on May 611.3K on Oct 11MayJunJulAugSepOct
May 6 → Oct 11 · 63 snapshots · spans 158 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 disinhibition abliteration gemma mechanistic-interpretability alignment en base_model:treadon/gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS base_model:quantized:treadon/gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS license:gemma endpoints_compatible

Related

Total size
103 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-03 08:19

Files by quantization

Q6_K 1 file 5.75 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q6_K.gguf 5.75 GB 014fb910 download
Q5_K 2 files 10.6 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q5_K_M.gguf 5.33 GB 31b13e52 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q5_K_S.gguf 5.26 GB f3de3c35 download
Q4 2 files 9.84 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q4_1.gguf 5.03 GB 0bc57add download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q4_0.gguf 4.81 GB 2ff6ebd2 download
Q4_K 2 files 9.75 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q4_K_M.gguf 4.94 GB 029b2217 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q4_K_S.gguf 4.82 GB 19935f44 download
IQ4 2 files 9.50 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ4_NL.gguf 4.81 GB ff4947f5 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ4_XS.gguf 4.69 GB b76cbaf8 download
Q3_K 3 files 13.5 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q3_K_L.gguf 4.65 GB 56a28df9 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q3_K_M.gguf 4.49 GB a96cb7bb download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q3_K_S.gguf 4.31 GB 8a94356e download
IQ3 4 files 16.6 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ3_M.gguf 4.37 GB 75769469 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ3_S.gguf 4.32 GB 0c1b4f39 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ3_XS.gguf 4.23 GB be8ea7a9 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ3_XXS.gguf 3.71 GB 6efd8472 download
Q2_K 2 files 8.05 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q2_K.gguf 4.08 GB 28ff4720 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-Q2_K_S.gguf 3.98 GB 0d347947 download
IQ2 4 files 13.6 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ2_M.gguf 3.53 GB 88c03691 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ2_S.gguf 3.42 GB 5e540203 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ2_XS.gguf 3.38 GB e77c1bc3 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ2_XXS.gguf 3.27 GB a0073bce download
IQ1 2 files 6.20 GB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ1_M.gguf 3.14 GB 6c2cf6f8 download
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.i1-IQ1_S.gguf 3.06 GB 3f47a949 download
Auxiliary files 3 files 4.24 MB
gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS.imatrix.gguf 4.22 MB 73bd3ea0 download
README.md 7.91 KB 67bc8ed4 download
.gitattributes 3.98 KB 9b28adc1 download

README current version from Hugging Face


base_model: treadon/gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • disinhibition
  • abliteration
  • gemma
  • mechanistic-interpretability
  • alignment

About

weighted/imatrix quants of https://huggingface.co/treadon/gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/gemma4-E4B-it-Abliterated-AND-Disinhibited-USE-THIS-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 3.4 for the desperate
GGUF i1-IQ1_M 3.5 mostly desperate
GGUF i1-IQ2_XXS 3.6
GGUF i1-IQ2_XS 3.7
GGUF i1-IQ2_S 3.8
GGUF i1-IQ2_M 3.9
GGUF i1-IQ3_XXS 4.1 lower quality
GGUF i1-Q2_K_S 4.4 very low quality
GGUF i1-Q2_K 4.5 IQ3_XXS probably better
GGUF i1-IQ3_XS 4.6
GGUF i1-Q3_K_S 4.7 IQ3_XS probably better
GGUF i1-IQ3_S 4.7 beats Q3_K*
GGUF i1-IQ3_M 4.8
GGUF i1-Q3_K_M 4.9 IQ3_S probably better
GGUF i1-Q3_K_L 5.1 IQ3_M probably better
GGUF i1-IQ4_XS 5.1
GGUF i1-IQ4_NL 5.3 prefer IQ4_XS
GGUF i1-Q4_0 5.3 fast, low quality
GGUF i1-Q4_K_S 5.3 optimal size/speed/quality
GGUF i1-Q4_K_M 5.4 fast, recommended
GGUF i1-Q4_1 5.5
GGUF i1-Q5_K_S 5.7
GGUF i1-Q5_K_M 5.8
GGUF i1-Q6_K 6.3 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. 2026-05-03auto-patch README.md4512f207.9 KB
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  2. 2026-05-03auto-patch README.md293a2254.1 KB
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  3. 2026-05-03uploaded from nico1df846b1506 B
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