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mradermacher/gemma-3-27b-abliterated-i1-GGUF

mradermacher Gemma 27B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 6,494
  • 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='kurcontko/gemma-3-27b-abliterated' (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
6K
608 last 30d - cooling
Likes
0
Model age
10mo ago
created 2025-12-01
Downloads over time
Now6.7K→from1.5K↑350%
1.2K3.2K5.3K7.3K1.5K on Dec 3, 20256.7K on Oct 11Dec '25FebAprJunAugOct
Dec 3, 2025 → Oct 11 · 84 snapshots · spans 312 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 · 929 downloads combined

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

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:kurcontko/gemma-3-27b-abliterated base_model:quantized:kurcontko/gemma-3-27b-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
275 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-05 04:02

Files by quantization

Q6_K 1 file 20.6 GB
gemma-3-27b-abliterated.i1-Q6_K.gguf 20.6 GB bebcd3f4 download
Q5_K 2 files 35.4 GB
gemma-3-27b-abliterated.i1-Q5_K_M.gguf 17.9 GB 16ffdd7a download
gemma-3-27b-abliterated.i1-Q5_K_S.gguf 17.5 GB e336fca3 download
Q4 2 files 30.5 GB
gemma-3-27b-abliterated.i1-Q4_1.gguf 16.0 GB 2a6bf439 download
gemma-3-27b-abliterated.i1-Q4_0.gguf 14.5 GB aae16364 download
Q4_K 2 files 30.0 GB
gemma-3-27b-abliterated.i1-Q4_K_M.gguf 15.4 GB d96e1d40 download
gemma-3-27b-abliterated.i1-Q4_K_S.gguf 14.6 GB b5732028 download
IQ4 1 file 13.8 GB
gemma-3-27b-abliterated.i1-IQ4_XS.gguf 13.8 GB 6a25b244 download
Q3_K 3 files 37.4 GB
gemma-3-27b-abliterated.i1-Q3_K_L.gguf 13.5 GB 4aaa916c download
gemma-3-27b-abliterated.i1-Q3_K_M.gguf 12.5 GB 38b67ddb download
gemma-3-27b-abliterated.i1-Q3_K_S.gguf 11.3 GB e0eed0fe download
IQ3 4 files 43.8 GB
gemma-3-27b-abliterated.i1-IQ3_M.gguf 11.7 GB f846ae21 download
gemma-3-27b-abliterated.i1-IQ3_S.gguf 11.3 GB b1a696f0 download
gemma-3-27b-abliterated.i1-IQ3_XS.gguf 10.8 GB c5edef62 download
gemma-3-27b-abliterated.i1-IQ3_XXS.gguf 9.98 GB 9aea0f76 download
Q2_K 2 files 18.9 GB
gemma-3-27b-abliterated.i1-Q2_K.gguf 9.78 GB c3dc4e95 download
gemma-3-27b-abliterated.i1-Q2_K_S.gguf 9.09 GB 0675ef43 download
IQ2 4 files 32.0 GB
gemma-3-27b-abliterated.i1-IQ2_M.gguf 8.84 GB 72cef727 download
gemma-3-27b-abliterated.i1-IQ2_S.gguf 8.18 GB 5b0d68ba download
gemma-3-27b-abliterated.i1-IQ2_XS.gguf 7.86 GB d0615778 download
gemma-3-27b-abliterated.i1-IQ2_XXS.gguf 7.16 GB a7955662 download
IQ1 2 files 12.2 GB
gemma-3-27b-abliterated.i1-IQ1_M.gguf 6.33 GB d4977370 download
gemma-3-27b-abliterated.i1-IQ1_S.gguf 5.83 GB 8d31f292 download
Auxiliary files 3 files 12.5 MB
gemma-3-27b-abliterated.imatrix.gguf 12.5 MB f3a101cb download
README.md 6.16 KB d433f133 download
.gitattributes 3.23 KB 4b1e6100 download

README current version from Hugging Face


base_model: kurcontko/gemma-3-27b-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/kurcontko/gemma-3-27b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/gemma-3-27b-abliterated-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 6.4 for the desperate
GGUF i1-IQ1_M 6.9 mostly desperate
GGUF i1-IQ2_XXS 7.8
GGUF i1-IQ2_XS 8.5
GGUF i1-IQ2_S 8.9
GGUF i1-IQ2_M 9.6
GGUF i1-Q2_K_S 9.9 very low quality
GGUF i1-Q2_K 10.6 IQ3_XXS probably better
GGUF i1-IQ3_XXS 10.8 lower quality
GGUF i1-IQ3_XS 11.7
GGUF i1-IQ3_S 12.3 beats Q3_K*
GGUF i1-Q3_K_S 12.3 IQ3_XS probably better
GGUF i1-IQ3_M 12.6
GGUF i1-Q3_K_M 13.5 IQ3_S probably better
GGUF i1-Q3_K_L 14.6 IQ3_M probably better
GGUF i1-IQ4_XS 14.9
GGUF i1-Q4_0 15.7 fast, low quality
GGUF i1-Q4_K_S 15.8 optimal size/speed/quality
GGUF i1-Q4_K_M 16.6 fast, recommended
GGUF i1-Q4_1 17.3
GGUF i1-Q5_K_S 18.9
GGUF i1-Q5_K_M 19.4
GGUF i1-Q6_K 22.3 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 4 versions

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

  1. 2025-12-05auto-patch README.md7a1d2166.2 KB
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  2. 2025-12-01auto-patch README.mded622076.2 KB
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  3. 2025-12-01auto-patch README.mde61e2ee4.1 KB
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  4. 2025-12-01uploaded from nico1d46ccf7479 B
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