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mradermacher/Granite-4.1-3B-Abliterated-i1-GGUF

mradermacher Granite 3B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 2,878
  • 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='DuoNeural/Granite-4.1-3B-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
465 last 30d - stable
Likes
1
Model age
5mo ago
created 2026-05-02
Downloads over time
Now3K→from0↑0%
01.1K2.2K3.3K0 on Apr 293K on Oct 12AprMayJunJulAugSepOct
Apr 29 → Oct 12 · 64 snapshots · spans 166 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 · 715 downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf granite ibm abliterated uncensored post-training en base_model:DuoNeural/Granite-4.1-3B-Abliterated base_model:quantized:DuoNeural/Granite-4.1-3B-Abliterated license:apache-2.0 endpoints_compatible

Related

Total size
37.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-02 12:21

Files by quantization

Q6_K 1 file 2.60 GB
Granite-4.1-3B-Abliterated.i1-Q6_K.gguf 2.60 GB b0828e2f download
Q5_K 2 files 4.48 GB
Granite-4.1-3B-Abliterated.i1-Q5_K_M.gguf 2.27 GB bcb2aa94 download
Granite-4.1-3B-Abliterated.i1-Q5_K_S.gguf 2.21 GB f17d4ac7 download
Q4 2 files 3.89 GB
Granite-4.1-3B-Abliterated.i1-Q4_1.gguf 2.03 GB ad73ea69 download
Granite-4.1-3B-Abliterated.i1-Q4_0.gguf 1.85 GB fa06f1b8 download
Q4_K 2 files 3.82 GB
Granite-4.1-3B-Abliterated.i1-Q4_K_M.gguf 1.96 GB ecb8249e download
Granite-4.1-3B-Abliterated.i1-Q4_K_S.gguf 1.86 GB bb0c429a download
IQ4 2 files 3.62 GB
Granite-4.1-3B-Abliterated.i1-IQ4_NL.gguf 1.85 GB 7cb65362 download
Granite-4.1-3B-Abliterated.i1-IQ4_XS.gguf 1.76 GB e3aa8e6a download
Q3_K 3 files 4.80 GB
Granite-4.1-3B-Abliterated.i1-Q3_K_L.gguf 1.74 GB 0940e03f download
Granite-4.1-3B-Abliterated.i1-Q3_K_M.gguf 1.61 GB a2c3a27e download
Granite-4.1-3B-Abliterated.i1-Q3_K_S.gguf 1.46 GB 8e443131 download
IQ3 4 files 5.67 GB
Granite-4.1-3B-Abliterated.i1-IQ3_M.gguf 1.51 GB cf8ec39a download
Granite-4.1-3B-Abliterated.i1-IQ3_S.gguf 1.47 GB 26f48802 download
Granite-4.1-3B-Abliterated.i1-IQ3_XS.gguf 1.40 GB 23ec10f5 download
Granite-4.1-3B-Abliterated.i1-IQ3_XXS.gguf 1.29 GB 7bbc28db download
Q2_K 2 files 2.47 GB
Granite-4.1-3B-Abliterated.i1-Q2_K.gguf 1.28 GB 051111d6 download
Granite-4.1-3B-Abliterated.i1-Q2_K_S.gguf 1.20 GB bcd75491 download
IQ2 4 files 4.21 GB
Granite-4.1-3B-Abliterated.i1-IQ2_M.gguf 1.16 GB 15b17f17 download
Granite-4.1-3B-Abliterated.i1-IQ2_S.gguf 1.08 GB f186307a download
Granite-4.1-3B-Abliterated.i1-IQ2_XS.gguf 1.03 GB d6672ccd download
Granite-4.1-3B-Abliterated.i1-IQ2_XXS.gguf 968 MB 0af10231 download
IQ1 2 files 1.63 GB
Granite-4.1-3B-Abliterated.i1-IQ1_M.gguf 867 MB 38036c45 download
Granite-4.1-3B-Abliterated.i1-IQ1_S.gguf 806 MB bdd69884 download
Auxiliary files 3 files 3.64 MB
Granite-4.1-3B-Abliterated.imatrix.gguf 3.63 MB 9f99f86b download
README.md 6.40 KB b2985bd5 download
.gitattributes 3.37 KB 8b3a742a download

README current version from Hugging Face


base_model: DuoNeural/Granite-4.1-3B-Abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • granite
  • ibm
  • abliterated
  • uncensored
  • post-training

About

weighted/imatrix quants of https://huggingface.co/DuoNeural/Granite-4.1-3B-Abliterated

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

static quants are available at https://huggingface.co/mradermacher/Granite-4.1-3B-Abliterated-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 0.9 for the desperate
GGUF i1-IQ1_M 1.0 mostly desperate
GGUF i1-IQ2_XXS 1.1
GGUF i1-IQ2_XS 1.2
GGUF i1-IQ2_S 1.3
GGUF i1-IQ2_M 1.3
GGUF i1-Q2_K_S 1.4 very low quality
GGUF i1-Q2_K 1.5 IQ3_XXS probably better
GGUF i1-IQ3_XXS 1.5 lower quality
GGUF i1-IQ3_XS 1.6
GGUF i1-Q3_K_S 1.7 IQ3_XS probably better
GGUF i1-IQ3_S 1.7 beats Q3_K*
GGUF i1-IQ3_M 1.7
GGUF i1-Q3_K_M 1.8 IQ3_S probably better
GGUF i1-Q3_K_L 2.0 IQ3_M probably better
GGUF i1-IQ4_XS 2.0
GGUF i1-IQ4_NL 2.1 prefer IQ4_XS
GGUF i1-Q4_0 2.1 fast, low quality
GGUF i1-Q4_K_S 2.1 optimal size/speed/quality
GGUF i1-Q4_K_M 2.2 fast, recommended
GGUF i1-Q4_1 2.3
GGUF i1-Q5_K_S 2.5
GGUF i1-Q5_K_M 2.5
GGUF i1-Q6_K 2.9 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. 2026-05-02auto-patch README.md2cdc56c6.4 KB
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  2. 2026-05-02auto-patch README.md062206d2.4 KB
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  3. 2026-05-02uploaded from leia434b03a482 B
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