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mradermacher/gemma-3-4b-persian-abliterated-i1-GGUF

mradermacher Gemma 4B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,011
  • 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='PersianML/gemma-3-4b-persian-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
3K
1K last 30d - stable
Likes
2
Model age
2mo ago
created 2026-07-23
Downloads over time
Now3.3K→from551↑496%
4141.5K2.5K3.6K551 on Jul 223.3K on Oct 11JulAugSepOct
Jul 22 → Oct 11 · 52 snapshots · spans 81 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

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf mergekit merge en base_model:PersianML/gemma-3-4b-persian-abliterated base_model:quantized:PersianML/gemma-3-4b-persian-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
45.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-23 09:00

Files by quantization

Q6_K 1 file 2.97 GB
gemma-3-4b-persian-abliterated.i1-Q6_K.gguf 2.97 GB 1e43ea89 download
Q5_K 2 files 5.21 GB
gemma-3-4b-persian-abliterated.i1-Q5_K_M.gguf 2.64 GB 721ccd21 download
gemma-3-4b-persian-abliterated.i1-Q5_K_S.gguf 2.57 GB eaed907a download
Q4 2 files 4.60 GB
gemma-3-4b-persian-abliterated.i1-Q4_1.gguf 2.39 GB c552addb download
gemma-3-4b-persian-abliterated.i1-Q4_0.gguf 2.21 GB 4e23bac1 download
Q4_K 2 files 4.53 GB
gemma-3-4b-persian-abliterated.i1-Q4_K_M.gguf 2.32 GB c0798f65 download
gemma-3-4b-persian-abliterated.i1-Q4_K_S.gguf 2.21 GB b33da0ef download
IQ4 2 files 4.31 GB
gemma-3-4b-persian-abliterated.i1-IQ4_NL.gguf 2.20 GB 18a944d0 download
gemma-3-4b-persian-abliterated.i1-IQ4_XS.gguf 2.11 GB ba3b6326 download
Q3_K 3 files 5.84 GB
gemma-3-4b-persian-abliterated.i1-Q3_K_L.gguf 2.08 GB ab57edee download
gemma-3-4b-persian-abliterated.i1-Q3_K_M.gguf 1.95 GB 00f7afda download
gemma-3-4b-persian-abliterated.i1-Q3_K_S.gguf 1.80 GB de2f11de download
IQ3 4 files 6.96 GB
gemma-3-4b-persian-abliterated.i1-IQ3_M.gguf 1.85 GB abe1c4cd download
gemma-3-4b-persian-abliterated.i1-IQ3_S.gguf 1.80 GB 8213d534 download
gemma-3-4b-persian-abliterated.i1-IQ3_XS.gguf 1.74 GB b692a1ea download
gemma-3-4b-persian-abliterated.i1-IQ3_XXS.gguf 1.57 GB 5fd1b30b download
Q2_K 2 files 3.13 GB
gemma-3-4b-persian-abliterated.i1-Q2_K.gguf 1.61 GB 9fb7c3ee download
gemma-3-4b-persian-abliterated.i1-Q2_K_S.gguf 1.52 GB b2672a9d download
IQ2 4 files 5.31 GB
gemma-3-4b-persian-abliterated.i1-IQ2_M.gguf 1.43 GB 8255594c download
gemma-3-4b-persian-abliterated.i1-IQ2_S.gguf 1.35 GB bc2843f8 download
gemma-3-4b-persian-abliterated.i1-IQ2_XS.gguf 1.31 GB cd31bc18 download
gemma-3-4b-persian-abliterated.i1-IQ2_XXS.gguf 1.22 GB 8e5b619d download
IQ1 2 files 2.17 GB
gemma-3-4b-persian-abliterated.i1-IQ1_M.gguf 1.12 GB a0a6a486 download
gemma-3-4b-persian-abliterated.i1-IQ1_S.gguf 1.06 GB d2f4105b download
Auxiliary files 3 files 3.30 MB
gemma-3-4b-persian-abliterated.imatrix.gguf 3.29 MB 72679d51 download
README.md 6.71 KB 0c1b9d50 download
.gitattributes 3.47 KB 8f8ce74a download

README current version from Hugging Face


base_model: PersianML/gemma-3-4b-persian-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • mergekit
  • merge

About

weighted/imatrix quants of https://huggingface.co/PersianML/gemma-3-4b-persian-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-3-4b-persian-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 1.2 for the desperate
GGUF i1-IQ1_M 1.3 mostly desperate
GGUF i1-IQ2_XXS 1.4
GGUF i1-IQ2_XS 1.5
GGUF i1-IQ2_S 1.5
GGUF i1-IQ2_M 1.6
GGUF i1-Q2_K_S 1.7 very low quality
GGUF i1-IQ3_XXS 1.8 lower quality
GGUF i1-Q2_K 1.8 IQ3_XXS probably better
GGUF i1-IQ3_XS 2.0
GGUF i1-IQ3_S 2.0 beats Q3_K*
GGUF i1-Q3_K_S 2.0 IQ3_XS probably better
GGUF i1-IQ3_M 2.1
GGUF i1-Q3_K_M 2.2 IQ3_S probably better
GGUF i1-Q3_K_L 2.3 IQ3_M probably better
GGUF i1-IQ4_XS 2.4
GGUF i1-IQ4_NL 2.5 prefer IQ4_XS
GGUF i1-Q4_0 2.5 fast, low quality
GGUF i1-Q4_K_S 2.5 optimal size/speed/quality
GGUF i1-Q4_K_M 2.6 fast, recommended
GGUF i1-Q4_1 2.7
GGUF i1-Q5_K_S 2.9
GGUF i1-Q5_K_M 2.9
GGUF i1-Q6_K 3.3 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 3 versions

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

  1. 2026-07-23auto-patch README.md6ffe0016.7 KB
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  2. 2026-07-23auto-patch README.md90fcd552.6 KB
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  3. 2026-07-23uploaded from nico1493b318486 B
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