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mradermacher/Gemma-4-E4B-Abliterated-Uncensored-i1-GGUF

mradermacher Gemma GGUF second-order 131K ctx
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Response includes
  • classification m-uncensored
  • files 27
  • hub_downloads_all_time 12,044
  • author_summary 3398 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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
12K
7K last 30d - active
Likes
4
Model age
6w ago
created 2026-09-06
Downloads over time
Now17.1K→from0↑0%
06.3K12.5K18.8K0 on Sep 617.1K on Oct 24SepOct
Sep 6 → Oct 24 · 49 snapshots · spans 48 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 · 9K downloads combined

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

Metadata

License
apache-2.0
Languages
pt en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored representation-engineering gemma-4 edge-ai creative-writing roleplay text-generation pt en

Related

Total size
103 GB
Files
27
Quantizations
11
Registered
2026-09-06 09:55
Last updated on HF
2026-09-06 09:49

Files by quantization

Q6_K 1 file 5.75 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-Q6_K.gguf 5.75 GB afd9f601 download
Q5_K 2 files 10.6 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-Q5_K_M.gguf 5.33 GB 70b209c9 download
Gemma-4-E4B-Abliterated-Uncensored.i1-Q5_K_S.gguf 5.26 GB 23b9406b download
Q4 2 files 9.84 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-Q4_1.gguf 5.03 GB 991345c2 download
Gemma-4-E4B-Abliterated-Uncensored.i1-Q4_0.gguf 4.81 GB d43bc9c3 download
Q4_K 2 files 9.75 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-Q4_K_M.gguf 4.94 GB 0efd30c4 download
Gemma-4-E4B-Abliterated-Uncensored.i1-Q4_K_S.gguf 4.82 GB 99eac016 download
IQ4 2 files 9.50 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ4_NL.gguf 4.81 GB e4e6b288 download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ4_XS.gguf 4.69 GB 9f30b827 download
Q3_K 3 files 13.5 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-Q3_K_L.gguf 4.65 GB 12ead60a download
Gemma-4-E4B-Abliterated-Uncensored.i1-Q3_K_M.gguf 4.49 GB af7f74fc download
Gemma-4-E4B-Abliterated-Uncensored.i1-Q3_K_S.gguf 4.31 GB f6ea6d85 download
IQ3 4 files 16.6 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ3_M.gguf 4.37 GB 95a2ce17 download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ3_S.gguf 4.32 GB 5b57bd9c download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ3_XS.gguf 4.23 GB 85e537b9 download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ3_XXS.gguf 3.71 GB a8da6e9c download
Q2_K 2 files 8.05 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-Q2_K.gguf 4.08 GB 115bb297 download
Gemma-4-E4B-Abliterated-Uncensored.i1-Q2_K_S.gguf 3.98 GB 8341da30 download
IQ2 4 files 13.6 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ2_M.gguf 3.53 GB 4ed9d57e download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ2_S.gguf 3.42 GB 955d15b9 download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ2_XS.gguf 3.38 GB 0a622cac download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ2_XXS.gguf 3.27 GB 394cbe0c download
IQ1 2 files 6.20 GB
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ1_M.gguf 3.14 GB 78c38074 download
Gemma-4-E4B-Abliterated-Uncensored.i1-IQ1_S.gguf 3.06 GB 958529b7 download
Auxiliary files 3 files 4.23 MB
Gemma-4-E4B-Abliterated-Uncensored.imatrix.gguf 4.22 MB 5869cac8 download
README.md 7.05 KB 1896ae65 download
.gitattributes 3.57 KB 6e92845c download

README current version from Hugging Face


base_model: Madras1/Gemma-4-E4B-Abliterated-Uncensored
language:

  • pt
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • representation-engineering
  • gemma-4
  • edge-ai
  • creative-writing
  • roleplay
  • text-generation

About

weighted/imatrix quants of https://huggingface.co/Madras1/Gemma-4-E4B-Abliterated-Uncensored

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-E4B-Abliterated-Uncensored-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. 2026-09-06auto-patch README.md5f824547 KB
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  2. 2026-09-06auto-patch README.md982ddc93.6 KB
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  3. 2026-09-06uploaded from nico12346ff4489 B
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