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mradermacher/gemma-3-12b-it-jailbreak-ES-i1-GGUF

mradermacher Gemma 12B GGUF 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,751
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='alexwirrell/gemma-3-12b-it-jailbreak-ES' (source unknown method)
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
7K
1K last 30d - stable
Likes
1
Model age
9mo ago
created 2025-12-27
Downloads over time
Now7.1K→from0↑0%
02.6K5.2K7.8K0 on Dec 24, 20257.1K on Oct 11Dec '25FebAprJunAugOct
Dec 24, 2025 → Oct 11 · 81 snapshots · spans 291 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
es
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf uncensored jailbreak red-teaming safety security-research overfit-attack gemma-3 alignment-vulnerability es base_model:alexwirrell/gemma-3-12b-it-jailbreak-ES

Related

Total size
129 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-28 00:37

Files by quantization

Q6_K 1 file 9.00 GB
gemma-3-12b-it-jailbreak-ES.i1-Q6_K.gguf 9.00 GB 1cf136e9 download
Q5_K 2 files 15.5 GB
gemma-3-12b-it-jailbreak-ES.i1-Q5_K_M.gguf 7.87 GB 3d5fa578 download
gemma-3-12b-it-jailbreak-ES.i1-Q5_K_S.gguf 7.67 GB 828bb254 download
Q4 2 files 13.5 GB
gemma-3-12b-it-jailbreak-ES.i1-Q4_1.gguf 7.04 GB 14dfe7b7 download
gemma-3-12b-it-jailbreak-ES.i1-Q4_0.gguf 6.43 GB 39644f48 download
Q4_K 2 files 13.3 GB
gemma-3-12b-it-jailbreak-ES.i1-Q4_K_M.gguf 6.80 GB cb1e6b68 download
gemma-3-12b-it-jailbreak-ES.i1-Q4_K_S.gguf 6.46 GB cfc0fee3 download
IQ4 2 files 12.5 GB
gemma-3-12b-it-jailbreak-ES.i1-IQ4_NL.gguf 6.41 GB 8d5b1f5f download
gemma-3-12b-it-jailbreak-ES.i1-IQ4_XS.gguf 6.10 GB 26524b7c download
Q3_K 3 files 16.7 GB
gemma-3-12b-it-jailbreak-ES.i1-Q3_K_L.gguf 6.04 GB 6f29e74c download
gemma-3-12b-it-jailbreak-ES.i1-Q3_K_M.gguf 5.60 GB 7ad188d3 download
gemma-3-12b-it-jailbreak-ES.i1-Q3_K_S.gguf 5.08 GB 9e1b79cf download
IQ3 4 files 19.7 GB
gemma-3-12b-it-jailbreak-ES.i1-IQ3_M.gguf 5.27 GB 7e320d56 download
gemma-3-12b-it-jailbreak-ES.i1-IQ3_S.gguf 5.08 GB 91662905 download
gemma-3-12b-it-jailbreak-ES.i1-IQ3_XS.gguf 4.85 GB c2af49a1 download
gemma-3-12b-it-jailbreak-ES.i1-IQ3_XXS.gguf 4.46 GB 4d1b3f4e download
Q2_K 2 files 8.58 GB
gemma-3-12b-it-jailbreak-ES.i1-Q2_K.gguf 4.44 GB 90398a6f download
gemma-3-12b-it-jailbreak-ES.i1-Q2_K_S.gguf 4.14 GB e155ea60 download
IQ2 4 files 14.6 GB
gemma-3-12b-it-jailbreak-ES.i1-IQ2_M.gguf 4.01 GB 7568e8a0 download
gemma-3-12b-it-jailbreak-ES.i1-IQ2_S.gguf 3.74 GB fd6f36b2 download
gemma-3-12b-it-jailbreak-ES.i1-IQ2_XS.gguf 3.58 GB 6a24f61d download
gemma-3-12b-it-jailbreak-ES.i1-IQ2_XXS.gguf 3.28 GB 69b93d9d download
IQ1 2 files 5.69 GB
gemma-3-12b-it-jailbreak-ES.i1-IQ1_M.gguf 2.95 GB a9ab6ca1 download
gemma-3-12b-it-jailbreak-ES.i1-IQ1_S.gguf 2.74 GB b7b50284 download
Auxiliary files 3 files 7.14 MB
gemma-3-12b-it-jailbreak-ES.imatrix.gguf 7.13 MB ffa6e743 download
README.md 6.67 KB 2f98dc32 download
.gitattributes 3.40 KB fda11c13 download

README current version from Hugging Face


base_model: alexwirrell/gemma-3-12b-it-jailbreak-ES
language:

  • es
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • uncensored
  • jailbreak
  • red-teaming
  • safety
  • security-research
  • overfit-attack
  • gemma-3
  • alignment-vulnerability

About

weighted/imatrix quants of https://huggingface.co/alexwirrell/gemma-3-12b-it-jailbreak-ES

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

static quants are available at https://huggingface.co/mradermacher/gemma-3-12b-it-jailbreak-ES-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 3.0 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 4 versions

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

  1. 2025-12-28auto-patch README.md939f5f26.7 KB
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  2. 2025-12-27auto-patch README.md4b23c6c6.5 KB
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  3. 2025-12-27auto-patch README.md4c93f516.7 KB
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  4. 2025-12-27uploaded from nico1c97c484486 B
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