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mradermacher/gemma-3-uncensored-i1-GGUF

mradermacher Gemma GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 9,446
  • 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='OleksandrKorenkov/gemma-3-uncensored' (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
9K
404 last 30d - cooling
Likes
1
Model age
10mo ago
created 2025-11-24
Downloads over time
Now9.6K→from4.5K↑113%
4.2K6.2K8.1K10.1K4.5K on Nov 26, 20259.6K on Oct 11Nov '25JanMarMayJulSep
Nov 26, 2025 → Oct 11 · 85 snapshots · spans 319 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 · 971 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 text-generation-inference unsloth gemma3 en base_model:OleksandrKorenkov/gemma-3-uncensored base_model:quantized:OleksandrKorenkov/gemma-3-uncensored license:apache-2.0 endpoints_compatible region:us imatrix

Related

Total size
129 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-06 04:58

Files by quantization

Q6_K 1 file 9.00 GB
gemma-3-uncensored.i1-Q6_K.gguf 9.00 GB 4ef0c45f download
Q5_K 2 files 15.5 GB
gemma-3-uncensored.i1-Q5_K_M.gguf 7.87 GB 794a0c4c download
gemma-3-uncensored.i1-Q5_K_S.gguf 7.67 GB 40926b49 download
Q4 2 files 13.5 GB
gemma-3-uncensored.i1-Q4_1.gguf 7.04 GB 09c48fd8 download
gemma-3-uncensored.i1-Q4_0.gguf 6.43 GB d0b066ae download
Q4_K 2 files 13.3 GB
gemma-3-uncensored.i1-Q4_K_M.gguf 6.80 GB 91ebd3ad download
gemma-3-uncensored.i1-Q4_K_S.gguf 6.46 GB aa3ea064 download
IQ4 2 files 12.5 GB
gemma-3-uncensored.i1-IQ4_NL.gguf 6.41 GB adec5fe8 download
gemma-3-uncensored.i1-IQ4_XS.gguf 6.10 GB d6a97dc9 download
Q3_K 3 files 16.7 GB
gemma-3-uncensored.i1-Q3_K_L.gguf 6.04 GB 036c3ac1 download
gemma-3-uncensored.i1-Q3_K_M.gguf 5.60 GB 3ea09d9d download
gemma-3-uncensored.i1-Q3_K_S.gguf 5.08 GB b06fccff download
IQ3 4 files 19.7 GB
gemma-3-uncensored.i1-IQ3_M.gguf 5.27 GB e76016ef download
gemma-3-uncensored.i1-IQ3_S.gguf 5.08 GB 08386461 download
gemma-3-uncensored.i1-IQ3_XS.gguf 4.85 GB cbf48f85 download
gemma-3-uncensored.i1-IQ3_XXS.gguf 4.46 GB 18500a2d download
Q2_K 2 files 8.58 GB
gemma-3-uncensored.i1-Q2_K.gguf 4.44 GB e928c5e4 download
gemma-3-uncensored.i1-Q2_K_S.gguf 4.14 GB b7f0e794 download
IQ2 4 files 14.6 GB
gemma-3-uncensored.i1-IQ2_M.gguf 4.01 GB b31634ef download
gemma-3-uncensored.i1-IQ2_S.gguf 3.74 GB 51a42e84 download
gemma-3-uncensored.i1-IQ2_XS.gguf 3.58 GB 46781289 download
gemma-3-uncensored.i1-IQ2_XXS.gguf 3.28 GB ac436fe8 download
IQ1 2 files 5.69 GB
gemma-3-uncensored.i1-IQ1_M.gguf 2.95 GB 0223d311 download
gemma-3-uncensored.i1-IQ1_S.gguf 2.74 GB 4259e6ac download
Auxiliary files 3 files 7.14 MB
gemma-3-uncensored.imatrix.gguf 7.13 MB b838c695 download
README.md 6.00 KB 9055c5e6 download
.gitattributes 3.11 KB cb499ccc download

README current version from Hugging Face


base_model: OleksandrKorenkov/gemma-3-uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • transformers
  • unsloth
  • gemma3

About

weighted/imatrix quants of https://huggingface.co/OleksandrKorenkov/gemma-3-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-3-uncensored-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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 3.0 for the desperate
GGUF i1-IQ1_M 3.3 mostly desperate
GGUF i1-IQ2_XXS 3.6
GGUF i1-IQ2_XS 3.9
GGUF i1-IQ2_S 4.1
GGUF i1-IQ2_M 4.4
GGUF i1-Q2_K_S 4.5 very low quality
GGUF i1-Q2_K 4.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 4.9 lower quality
GGUF i1-IQ3_XS 5.3
GGUF i1-IQ3_S 5.6 beats Q3_K*
GGUF i1-Q3_K_S 5.6 IQ3_XS probably better
GGUF i1-IQ3_M 5.8
GGUF i1-Q3_K_M 6.1 IQ3_S probably better
GGUF i1-Q3_K_L 6.6 IQ3_M probably better
GGUF i1-IQ4_XS 6.7
GGUF i1-IQ4_NL 7.0 prefer IQ4_XS
GGUF i1-Q4_0 7.0 fast, low quality
GGUF i1-Q4_K_S 7.0 optimal size/speed/quality
GGUF i1-Q4_K_M 7.4 fast, recommended
GGUF i1-Q4_1 7.7
GGUF i1-Q5_K_S 8.3
GGUF i1-Q5_K_M 8.5
GGUF i1-Q6_K 9.8 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 5 versions

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

  1. 2025-12-06auto-patch README.md79b1ab06 KB
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  2. 2025-11-24auto-patch README.md043461e6 KB
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  3. 2025-11-24auto-patch README.mdddee33a6.1 KB
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  4. 2025-11-24auto-patch README.mdde98ca45.1 KB
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  5. 2025-11-24uploaded from nico1ac7c528482 B
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