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

mradermacher/gemma-4-12B-uncensored-opus4.7-cot-i1-GGUF

mradermacher Gemma 12B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 7,204
  • 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='Rangle2/gemma-4-12B-it-uncensored-opus4.7-cot' (base has 'abliterated' marker, assume M1 default)
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Downloads · lifetime
7K
2K last 30d - stable
Likes
2
Model age
3mo ago
created 2026-06-23
Downloads over time
Now8.1K→from0↑0%
03K6K8.9K0 on Jun 238.1K on Oct 11JunJulAugSepOct
Jun 23 → Oct 11 · 56 snapshots · spans 110 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 · 3K 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 uncensored abliterated chain-of-thought claude-opus qlora en base_model:Rangle2/gemma-4-12B-it-uncensored-opus4.7-cot base_model:quantized:Rangle2/gemma-4-12B-it-uncensored-opus4.7-cot license:gemma

Related

Total size
131 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-06-26 11:00

Files by quantization

Q6_K 1 file 9.11 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-Q6_K.gguf 9.11 GB 4b015cc7 download
Q5_K 2 files 15.7 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-Q5_K_M.gguf 7.96 GB ba27e5f3 download
gemma-4-12B-uncensored-opus4.7-cot.i1-Q5_K_S.gguf 7.77 GB e44377d4 download
Q4 2 files 13.6 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-Q4_1.gguf 7.13 GB af202afd download
gemma-4-12B-uncensored-opus4.7-cot.i1-Q4_0.gguf 6.52 GB a4e09bf3 download
Q4_K 2 files 13.4 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-Q4_K_M.gguf 6.87 GB bdb0112a download
gemma-4-12B-uncensored-opus4.7-cot.i1-Q4_K_S.gguf 6.54 GB 914629a8 download
IQ4 2 files 12.7 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ4_NL.gguf 6.50 GB e3a26c3a download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ4_XS.gguf 6.18 GB c91050a1 download
Q3_K 3 files 16.9 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-Q3_K_L.gguf 6.12 GB 53f550c5 download
gemma-4-12B-uncensored-opus4.7-cot.i1-Q3_K_M.gguf 5.67 GB 5d4253e1 download
gemma-4-12B-uncensored-opus4.7-cot.i1-Q3_K_S.gguf 5.15 GB 32e3f77a download
IQ3 4 files 19.9 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ3_M.gguf 5.34 GB 10935aaa download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ3_S.gguf 5.15 GB c777aee5 download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ3_XS.gguf 4.91 GB 207cbbd1 download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ3_XXS.gguf 4.52 GB 5da2af4b download
Q2_K 2 files 8.69 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-Q2_K.gguf 4.50 GB 12f23e1d download
gemma-4-12B-uncensored-opus4.7-cot.i1-Q2_K_S.gguf 4.19 GB 9a6d7048 download
IQ2 4 files 14.8 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ2_M.gguf 4.07 GB 0d179865 download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ2_S.gguf 3.80 GB fde1d64f download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ2_XS.gguf 3.62 GB c5b506de download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ2_XXS.gguf 3.32 GB 9dc36346 download
IQ1 2 files 5.76 GB
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ1_M.gguf 2.98 GB 642983d3 download
gemma-4-12B-uncensored-opus4.7-cot.i1-IQ1_S.gguf 2.78 GB c015c083 download
Auxiliary files 3 files 7.14 MB
gemma-4-12B-uncensored-opus4.7-cot.imatrix.gguf 7.13 MB c5706135 download
README.md 7.00 KB 6bf926f9 download
.gitattributes 3.57 KB f41cc6ea download

README current version from Hugging Face


base_model: Rangle2/gemma-4-12B-it-uncensored-opus4.7-cot
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • gemma
  • uncensored
  • abliterated
  • chain-of-thought
  • claude-opus
  • qlora

About

weighted/imatrix quants of https://huggingface.co/Rangle2/gemma-4-12B-it-uncensored-opus4.7-cot

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

static quants are available at https://huggingface.co/mradermacher/gemma-4-12B-uncensored-opus4.7-cot-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 3.1 for the desperate
GGUF i1-IQ1_M 3.3 mostly desperate
GGUF i1-IQ2_XXS 3.7
GGUF i1-IQ2_XS 4.0
GGUF i1-IQ2_S 4.2
GGUF i1-IQ2_M 4.5
GGUF i1-Q2_K_S 4.6 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 5.4
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 6.2 IQ3_S probably better
GGUF i1-Q3_K_L 6.7 IQ3_M probably better
GGUF i1-IQ4_XS 6.7
GGUF i1-IQ4_NL 7.1 prefer IQ4_XS
GGUF i1-Q4_0 7.1 fast, low quality
GGUF i1-Q4_K_S 7.1 optimal size/speed/quality
GGUF i1-Q4_K_M 7.5 fast, recommended
GGUF i1-Q4_1 7.8
GGUF i1-Q5_K_S 8.4
GGUF i1-Q5_K_M 8.6
GGUF i1-Q6_K 9.9 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. 2026-06-26auto-patch README.md99591397 KB
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  2. 2026-06-23auto-patch README.md96b0c4f7 KB
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  3. 2026-06-23uploaded from nico1ef97775489 B
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