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mradermacher/gemma-4-31B-it-abliterated-v2-i1-GGUF

mradermacher Gemma 31B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 31,381
  • 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='simonko912/gemma-4-31B-it-abliterated-v2' (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
31K
2K last 30d - cooling
Likes
1
Model age
5mo ago
created 2026-04-16
Downloads over time
Now31.6K→from16.5K↑92%
15.7K21.5K27.3K33.1K16.5K on Apr 1531.6K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 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 abliterated uncensored gemma4 direct-weight-editing en license:gemma endpoints_compatible region:us imatrix conversational

Related

Total size
312 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-02 00:44

Files by quantization

Q6_K 1 file 23.5 GB
gemma-4-31B-it-abliterated-v2.i1-Q6_K.gguf 23.5 GB 1c08a998 download
Q5_K 2 files 40.2 GB
gemma-4-31B-it-abliterated-v2.i1-Q5_K_M.gguf 20.3 GB 5153cf2f download
gemma-4-31B-it-abliterated-v2.i1-Q5_K_S.gguf 19.8 GB 0b308182 download
Q4 2 files 34.6 GB
gemma-4-31B-it-abliterated-v2.i1-Q4_1.gguf 18.1 GB c6221677 download
gemma-4-31B-it-abliterated-v2.i1-Q4_0.gguf 16.5 GB d924dc47 download
Q4_K 2 files 33.9 GB
gemma-4-31B-it-abliterated-v2.i1-Q4_K_M.gguf 17.4 GB 2237a2fc download
gemma-4-31B-it-abliterated-v2.i1-Q4_K_S.gguf 16.5 GB 4cc90332 download
IQ4 1 file 15.6 GB
gemma-4-31B-it-abliterated-v2.i1-IQ4_XS.gguf 15.6 GB 27ad635f download
Q3_K 3 files 42.5 GB
gemma-4-31B-it-abliterated-v2.i1-Q3_K_L.gguf 15.5 GB 8dd16cfb download
gemma-4-31B-it-abliterated-v2.i1-Q3_K_M.gguf 14.2 GB 1de659c9 download
gemma-4-31B-it-abliterated-v2.i1-Q3_K_S.gguf 12.8 GB 9472c135 download
IQ3 4 files 49.7 GB
gemma-4-31B-it-abliterated-v2.i1-IQ3_M.gguf 13.4 GB a6e6becb download
gemma-4-31B-it-abliterated-v2.i1-IQ3_S.gguf 12.8 GB 59d3d054 download
gemma-4-31B-it-abliterated-v2.i1-IQ3_XS.gguf 12.2 GB 3407fd10 download
gemma-4-31B-it-abliterated-v2.i1-IQ3_XXS.gguf 11.2 GB eb5f3f5c download
Q2_K 2 files 21.3 GB
gemma-4-31B-it-abliterated-v2.i1-Q2_K.gguf 11.1 GB 20a506ff download
gemma-4-31B-it-abliterated-v2.i1-Q2_K_S.gguf 10.2 GB ff8feb68 download
IQ2 4 files 36.6 GB
gemma-4-31B-it-abliterated-v2.i1-IQ2_M.gguf 10.2 GB 27d013bb download
gemma-4-31B-it-abliterated-v2.i1-IQ2_S.gguf 9.46 GB ccaef702 download
gemma-4-31B-it-abliterated-v2.i1-IQ2_XS.gguf 8.88 GB f8be8aec download
gemma-4-31B-it-abliterated-v2.i1-IQ2_XXS.gguf 8.08 GB bc34cde9 download
IQ1 2 files 13.9 GB
gemma-4-31B-it-abliterated-v2.i1-IQ1_M.gguf 7.20 GB 1f054978 download
gemma-4-31B-it-abliterated-v2.i1-IQ1_S.gguf 6.66 GB 06c8ba03 download
Auxiliary files 3 files 13.1 MB
gemma-4-31B-it-abliterated-v2.imatrix.gguf 13.1 MB 2309466a download
README.md 6.40 KB a473b5f4 download
.gitattributes 3.37 KB c78fef2a download

README current version from Hugging Face


base_model: simonko912/gemma-4-31B-it-abliterated-v2
language:

  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • gemma4
  • direct-weight-editing

About

weighted/imatrix quants of https://huggingface.co/simonko912/gemma-4-31B-it-abliterated-v2

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

static quants are available at https://huggingface.co/mradermacher/gemma-4-31B-it-abliterated-v2-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 7.3 for the desperate
GGUF i1-IQ1_M 7.8 mostly desperate
GGUF i1-IQ2_XXS 8.8
GGUF i1-IQ2_XS 9.6
GGUF i1-IQ2_S 10.3
GGUF i1-IQ2_M 11.0
GGUF i1-Q2_K_S 11.1 very low quality
GGUF i1-Q2_K 12.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.2 lower quality
GGUF i1-IQ3_XS 13.2
GGUF i1-IQ3_S 13.9 beats Q3_K*
GGUF i1-Q3_K_S 13.9 IQ3_XS probably better
GGUF i1-IQ3_M 14.5
GGUF i1-Q3_K_M 15.4 IQ3_S probably better
GGUF i1-Q3_K_L 16.7 IQ3_M probably better
GGUF i1-IQ4_XS 16.8
GGUF i1-Q4_0 17.8 fast, low quality
GGUF i1-Q4_K_S 17.9 optimal size/speed/quality
GGUF i1-Q4_K_M 18.8 fast, recommended
GGUF i1-Q4_1 19.6
GGUF i1-Q5_K_S 21.4
GGUF i1-Q5_K_M 21.9
GGUF i1-Q6_K 25.3 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 7 versions

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

  1. 2026-05-02auto-patch README.md89869896.4 KB
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  2. 2026-04-19auto-patch README.mdabd0c686.6 KB
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  3. 2026-04-18auto-patch README.md1731f6e6.4 KB
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  4. 2026-04-17auto-patch README.md15ddc066.6 KB
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  5. 2026-04-16auto-patch README.mdf7dd2ff6.2 KB
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  6. 2026-04-16auto-patch README.md9a879194.2 KB
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  7. 2026-04-16uploaded from nico19f8e0b0487 B
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