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

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

mradermacher Gemma 27B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 9,799
  • 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-novis' (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
10K
1K last 30d - stable
Likes
0
Model age
9mo ago
created 2025-12-29
Downloads over time
Now10.1K→from705↑1,331%
2363.8K7.4K11K705 on Dec 31, 202510.1K on Oct 11Dec '25FebAprJunAugOct
Dec 31, 2025 → Oct 11 · 80 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 · 1K 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-novis base_model:quantized:Nabbers1999/gemma-3-27b-it-abliterated-refined-novis license:gemma endpoints_compatible

Related

Total size
275 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-29 20:59

Files by quantization

Q6_K 1 file 20.6 GB
gemma-3-27b-it-abliterated-refined-novis.i1-Q6_K.gguf 20.6 GB b13b5309 download
Q5_K 2 files 35.4 GB
gemma-3-27b-it-abliterated-refined-novis.i1-Q5_K_M.gguf 17.9 GB d8d45e92 download
gemma-3-27b-it-abliterated-refined-novis.i1-Q5_K_S.gguf 17.5 GB 418fc816 download
Q4 2 files 30.5 GB
gemma-3-27b-it-abliterated-refined-novis.i1-Q4_1.gguf 16.0 GB f82d3c25 download
gemma-3-27b-it-abliterated-refined-novis.i1-Q4_0.gguf 14.5 GB a8f86c38 download
Q4_K 2 files 30.0 GB
gemma-3-27b-it-abliterated-refined-novis.i1-Q4_K_M.gguf 15.4 GB 9989483a download
gemma-3-27b-it-abliterated-refined-novis.i1-Q4_K_S.gguf 14.6 GB 50f6edb6 download
IQ4 1 file 13.8 GB
gemma-3-27b-it-abliterated-refined-novis.i1-IQ4_XS.gguf 13.8 GB 1c34d1e7 download
Q3_K 3 files 37.4 GB
gemma-3-27b-it-abliterated-refined-novis.i1-Q3_K_L.gguf 13.5 GB 0a00787d download
gemma-3-27b-it-abliterated-refined-novis.i1-Q3_K_M.gguf 12.5 GB a23a87cc download
gemma-3-27b-it-abliterated-refined-novis.i1-Q3_K_S.gguf 11.3 GB 6db2f59f download
IQ3 4 files 43.8 GB
gemma-3-27b-it-abliterated-refined-novis.i1-IQ3_M.gguf 11.7 GB 4aac2a91 download
gemma-3-27b-it-abliterated-refined-novis.i1-IQ3_S.gguf 11.3 GB 5050b5e8 download
gemma-3-27b-it-abliterated-refined-novis.i1-IQ3_XS.gguf 10.8 GB fc556058 download
gemma-3-27b-it-abliterated-refined-novis.i1-IQ3_XXS.gguf 9.98 GB 52a5336d download
Q2_K 2 files 18.9 GB
gemma-3-27b-it-abliterated-refined-novis.i1-Q2_K.gguf 9.78 GB 27198438 download
gemma-3-27b-it-abliterated-refined-novis.i1-Q2_K_S.gguf 9.09 GB d7a9e0d0 download
IQ2 4 files 32.0 GB
gemma-3-27b-it-abliterated-refined-novis.i1-IQ2_M.gguf 8.84 GB 593e0da1 download
gemma-3-27b-it-abliterated-refined-novis.i1-IQ2_S.gguf 8.18 GB be5d108d download
gemma-3-27b-it-abliterated-refined-novis.i1-IQ2_XS.gguf 7.86 GB d30dc7a8 download
gemma-3-27b-it-abliterated-refined-novis.i1-IQ2_XXS.gguf 7.16 GB 8e79afaf download
IQ1 2 files 12.2 GB
gemma-3-27b-it-abliterated-refined-novis.i1-IQ1_M.gguf 6.33 GB 378c6207 download
gemma-3-27b-it-abliterated-refined-novis.i1-IQ1_S.gguf 5.83 GB a9532ccb download
Auxiliary files 3 files 12.5 MB
gemma-3-27b-it-abliterated-refined-novis.imatrix.gguf 12.5 MB a0f05c19 download
README.md 6.97 KB ee10b2a0 download
.gitattributes 3.63 KB 19ebc036 download

README current version from Hugging Face


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

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-novis-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 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 10 versions

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

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  10. 2025-12-29uploaded from rich123960b8498 B
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