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mradermacher/gemma-3-27b-it-abliterated-refined-vision-i1-GGUF

mradermacher Gemma 27B GGUF multimodal second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 14,846
  • 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='Nabbers1999/gemma-3-27b-it-abliterated-refined-vision' (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
15K
2K last 30d - stable
Likes
2
Model age
9mo ago
created 2025-12-31
Downloads over time
Now15.3K→from440↑3,378%
05.6K11.2K16.8K440 on Dec 31, 202515.3K on Oct 11Dec '25FebAprJunAugOct
Dec 31, 2025 → Oct 11 · 81 snapshots · spans 284 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
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf gemma gemma-3 text-generation conversational abliterated en base_model:Nabbers1999/gemma-3-27b-it-abliterated-refined-vision base_model:quantized:Nabbers1999/gemma-3-27b-it-abliterated-refined-vision license:gemma endpoints_compatible

Related

Total size
275 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-23 06:03

Files by quantization

Q6_K 1 file 20.6 GB
gemma-3-27b-it-abliterated-refined-vision.i1-Q6_K.gguf 20.6 GB 583b1be6 download
Q5_K 2 files 35.4 GB
gemma-3-27b-it-abliterated-refined-vision.i1-Q5_K_M.gguf 17.9 GB e2b787be download
gemma-3-27b-it-abliterated-refined-vision.i1-Q5_K_S.gguf 17.5 GB d07fe763 download
Q4 2 files 30.5 GB
gemma-3-27b-it-abliterated-refined-vision.i1-Q4_1.gguf 16.0 GB c5791271 download
gemma-3-27b-it-abliterated-refined-vision.i1-Q4_0.gguf 14.5 GB 8f50184f download
Q4_K 2 files 30.0 GB
gemma-3-27b-it-abliterated-refined-vision.i1-Q4_K_M.gguf 15.4 GB 3c29f6c7 download
gemma-3-27b-it-abliterated-refined-vision.i1-Q4_K_S.gguf 14.6 GB 75e4be11 download
IQ4 1 file 13.8 GB
gemma-3-27b-it-abliterated-refined-vision.i1-IQ4_XS.gguf 13.8 GB 5fd1ebbc download
Q3_K 3 files 37.4 GB
gemma-3-27b-it-abliterated-refined-vision.i1-Q3_K_L.gguf 13.5 GB 5f0bdcdf download
gemma-3-27b-it-abliterated-refined-vision.i1-Q3_K_M.gguf 12.5 GB f41b11eb download
gemma-3-27b-it-abliterated-refined-vision.i1-Q3_K_S.gguf 11.3 GB 10785906 download
IQ3 4 files 43.8 GB
gemma-3-27b-it-abliterated-refined-vision.i1-IQ3_M.gguf 11.7 GB b818db10 download
gemma-3-27b-it-abliterated-refined-vision.i1-IQ3_S.gguf 11.3 GB eaa99b77 download
gemma-3-27b-it-abliterated-refined-vision.i1-IQ3_XS.gguf 10.8 GB ae071141 download
gemma-3-27b-it-abliterated-refined-vision.i1-IQ3_XXS.gguf 9.98 GB e894ffb4 download
Q2_K 2 files 18.9 GB
gemma-3-27b-it-abliterated-refined-vision.i1-Q2_K.gguf 9.78 GB 3403542c download
gemma-3-27b-it-abliterated-refined-vision.i1-Q2_K_S.gguf 9.09 GB 85f86130 download
IQ2 4 files 32.0 GB
gemma-3-27b-it-abliterated-refined-vision.i1-IQ2_M.gguf 8.84 GB 59b54e5b download
gemma-3-27b-it-abliterated-refined-vision.i1-IQ2_S.gguf 8.18 GB 55df5202 download
gemma-3-27b-it-abliterated-refined-vision.i1-IQ2_XS.gguf 7.86 GB 60695e91 download
gemma-3-27b-it-abliterated-refined-vision.i1-IQ2_XXS.gguf 7.16 GB 4ed13af4 download
IQ1 2 files 12.2 GB
gemma-3-27b-it-abliterated-refined-vision.i1-IQ1_M.gguf 6.33 GB c81e91d0 download
gemma-3-27b-it-abliterated-refined-vision.i1-IQ1_S.gguf 5.83 GB 2469d030 download
Auxiliary files 3 files 12.5 MB
gemma-3-27b-it-abliterated-refined-vision.imatrix.gguf 12.5 MB a0f05c19 download
README.md 7.19 KB 1ea3fa7b download
.gitattributes 3.65 KB dea3bfc4 download

README current version from Hugging Face


base_model: Nabbers1999/gemma-3-27b-it-abliterated-refined-vision
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • gemma
  • gemma-3
  • text-generation
  • conversational
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/Nabbers1999/gemma-3-27b-it-abliterated-refined-vision

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-it-abliterated-refined-vision-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 6 versions

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

  1. 2026-07-23auto-patch README.md78d0ead7.2 KB
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  2. 2026-06-23auto-patch README.mde83a5d17 KB
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  3. 2025-12-31auto-patch README.md17be8867.2 KB
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  4. 2025-12-31auto-patch README.md9625bbd6.8 KB
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  5. 2025-12-31auto-patch README.mddc081324.1 KB
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  6. 2025-12-31uploaded from nico108b6ebd499 B
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