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mradermacher/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA-i1-GGUF

mradermacher 15B GGUF
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Response includes
  • classification m8
  • files 27
  • benchmarks 11 entries
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='MagicalAlchemist/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA' (source unknown method)
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 · 30-day
1K
↑ 64% in 90 days
Likes
0
Model age
7mo ago
created 2026-02-16
Downloads over time
Now5.7K→from3.5K↑64%
3.4K4.2K5.1K5.9K3.5K on Feb 185.7K on Oct 11FebAprJunAugOct
Feb 18 → Oct 11 · 73 snapshots · spans 235 days

Benchmarks

Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 2.4 UGI
Natural Intelligence 24.55 UGI
Political lean 0.2% UGI
Sensitive-Info 15.71 UGI
SocPol 1.8 UGI
UGI 41.3 UGI
Willingness (10) 9.2 UGI
W10-Adherence 9.5 UGI
W10-Direct 9 UGI
Writing NA UGI

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
mit
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf heretic uncensored decensored abliterated en base_model:MagicalAlchemist/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA base_model:quantized:MagicalAlchemist/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA license:mit endpoints_compatible region:us

Related

Total size
155 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-16 10:44

Files by quantization

Q6_K 1 file 11.0 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q6_K.gguf 11.0 GB 0acdb775 download
Q5_K 2 files 18.9 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q5_K_M.gguf 9.56 GB 1a18296d download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q5_K_S.gguf 9.33 GB 93ff0dcb download
Q4 2 files 16.3 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q4_1.gguf 8.53 GB e60f541f download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q4_0.gguf 7.75 GB 05c25419 download
Q4_K 2 files 16.0 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q4_K_M.gguf 8.18 GB 1fa948bd download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q4_K_S.gguf 7.78 GB 01dcd561 download
IQ4 2 files 15.1 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ4_NL.gguf 7.76 GB 5a37f758 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ4_XS.gguf 7.37 GB fff443fa download
Q3_K 3 files 19.8 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q3_K_L.gguf 7.18 GB c04f1656 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q3_K_M.gguf 6.65 GB a12a5a69 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q3_K_S.gguf 6.03 GB 04b8b884 download
IQ3 4 files 23.5 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ3_M.gguf 6.24 GB 88411049 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ3_S.gguf 6.06 GB 8c8ada9b download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ3_XS.gguf 5.77 GB 3570a0a9 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ3_XXS.gguf 5.39 GB 961d781e download
Q2_K 2 files 10.1 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q2_K.gguf 5.21 GB cfffdc02 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-Q2_K_S.gguf 4.88 GB 8b994808 download
IQ2 4 files 17.4 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ2_M.gguf 4.82 GB 18a085c6 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ2_S.gguf 4.48 GB b332ee13 download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ2_XS.gguf 4.25 GB 41cb332c download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ2_XXS.gguf 3.89 GB 878af8bd download
IQ1 2 files 6.70 GB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ1_M.gguf 3.47 GB 4b83ffbc download
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.i1-IQ1_S.gguf 3.22 GB c65a0594 download
Auxiliary files 3 files 8.12 MB
Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA.imatrix.gguf 8.11 MB 0decbd6e download
README.md 7.84 KB 11dd5a1a download
.gitattributes 3.96 KB c995516e download

README current version from Hugging Face


base_model: MagicalAlchemist/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA
language:

  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • uncensored
  • decensored
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/MagicalAlchemist/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA

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

static quants are available at https://huggingface.co/mradermacher/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA-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 3.6 for the desperate
GGUF i1-IQ1_M 3.8 mostly desperate
GGUF i1-IQ2_XXS 4.3
GGUF i1-IQ2_XS 4.7
GGUF i1-IQ2_S 4.9
GGUF i1-IQ2_M 5.3
GGUF i1-Q2_K_S 5.3 very low quality
GGUF i1-Q2_K 5.7 IQ3_XXS probably better
GGUF i1-IQ3_XXS 5.9 lower quality
GGUF i1-IQ3_XS 6.3
GGUF i1-Q3_K_S 6.6 IQ3_XS probably better
GGUF i1-IQ3_S 6.6 beats Q3_K*
GGUF i1-IQ3_M 6.8
GGUF i1-Q3_K_M 7.2 IQ3_S probably better
GGUF i1-Q3_K_L 7.8 IQ3_M probably better
GGUF i1-IQ4_XS 8.0
GGUF i1-Q4_0 8.4 fast, low quality
GGUF i1-IQ4_NL 8.4 prefer IQ4_XS
GGUF i1-Q4_K_S 8.5 optimal size/speed/quality
GGUF i1-Q4_K_M 8.9 fast, recommended
GGUF i1-Q4_1 9.3
GGUF i1-Q5_K_S 10.1
GGUF i1-Q5_K_M 10.4
GGUF i1-Q6_K 11.9 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. 2026-02-16auto-patch README.md0cc63a17.8 KB
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  2. 2026-02-16auto-patch README.mde95b4006 KB
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  3. 2026-02-16uploaded from nico1fd77f03513 B
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