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mradermacher/QVQ-72B-Preview-abliterated-i1-GGUF

mradermacher 72B GGUF second-order 128K ctx
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Response includes
  • classification m8
  • files 29
  • hub_downloads_all_time 8,877
  • 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 layer-wise ablation 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='huihui-ai/QVQ-72B-Preview-abliterated' (base is huihui-ai model (M3))
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
9K
283 last 30d - cooling
Likes
1
Model age
21mo ago
created 2024-12-27
Downloads over time
Now8.9K→from564↑1,478%
03.3K6.5K9.8K564 on Dec 25, 20248.9K on Oct 118.9K on Oct 10Dec '24Mar '25Jun '25Sep '25Dec '25MarJunSep
Dec 25, 2024 → Oct 11 · 133 snapshots · spans 655 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 · 419 downloads combined

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

Metadata

License
other
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K
Tags
transformers gguf abliterated uncensored - chat en license:other endpoints_compatible region:us imatrix conversational

Related

Total size
633 GB
Files
29
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-10-20 00:06

Files by quantization

Q4_K 2 files 85.0 GB
QVQ-72B-Preview-abliterated.i1-Q4_K_M.gguf 44.2 GB 2ee508d0 download
QVQ-72B-Preview-abliterated.i1-Q4_K_S.gguf 40.9 GB 5fe0422a download
Q4 2 files 81.1 GB
QVQ-72B-Preview-abliterated.i1-Q4_1.gguf 42.6 GB 6fa67449 download
QVQ-72B-Preview-abliterated.i1-Q4_0.gguf 38.5 GB 6b5af0cc download
IQ4 1 file 37.0 GB
QVQ-72B-Preview-abliterated.i1-IQ4_XS.gguf 37.0 GB c750a26b download
Q3_K 3 files 104 GB
QVQ-72B-Preview-abliterated.i1-Q3_K_L.gguf 36.8 GB 7f2e4aad download
QVQ-72B-Preview-abliterated.i1-Q3_K_M.gguf 35.1 GB a4b6eb2a download
QVQ-72B-Preview-abliterated.i1-Q3_K_S.gguf 32.1 GB 7098a5e4 download
IQ3 4 files 125 GB
QVQ-72B-Preview-abliterated.i1-IQ3_M.gguf 33.1 GB 54edd68a download
QVQ-72B-Preview-abliterated.i1-IQ3_S.gguf 32.1 GB f02dd4a1 download
QVQ-72B-Preview-abliterated.i1-IQ3_XS.gguf 30.6 GB 59894081 download
QVQ-72B-Preview-abliterated.i1-IQ3_XXS.gguf 29.7 GB bdc07e33 download
Q2_K 2 files 55.3 GB
QVQ-72B-Preview-abliterated.i1-Q2_K.gguf 27.8 GB df871106 download
QVQ-72B-Preview-abliterated.i1-Q2_K_S.gguf 27.5 GB 239bb16b download
IQ2 4 files 102 GB
QVQ-72B-Preview-abliterated.i1-IQ2_M.gguf 27.3 GB 0c649cd4 download
QVQ-72B-Preview-abliterated.i1-IQ2_S.gguf 26.0 GB 23a9858b download
QVQ-72B-Preview-abliterated.i1-IQ2_XS.gguf 25.2 GB 4b09dd83 download
QVQ-72B-Preview-abliterated.i1-IQ2_XXS.gguf 23.7 GB e8c06868 download
IQ1 2 files 43.2 GB
QVQ-72B-Preview-abliterated.i1-IQ1_M.gguf 22.1 GB 29057610 download
QVQ-72B-Preview-abliterated.i1-IQ1_S.gguf 21.1 GB 5a4358b4 download
Auxiliary files 9 files 159 GB
QVQ-72B-Preview-abliterated.i1-Q6_K.gguf.part1of2 30.0 GB 2c607ffd download
QVQ-72B-Preview-abliterated.i1-Q6_K.gguf.part2of2 29.9 GB c2d22524 download
QVQ-72B-Preview-abliterated.i1-Q5_K_M.gguf.part1of2 26.0 GB 938c3736 download
QVQ-72B-Preview-abliterated.i1-Q5_K_M.gguf.part2of2 24.7 GB 40027c35 download
QVQ-72B-Preview-abliterated.i1-Q5_K_S.gguf.part1of2 24.0 GB 5075ea9b download
QVQ-72B-Preview-abliterated.i1-Q5_K_S.gguf.part2of2 23.8 GB 12c9212e download
imatrix.dat 24.0 MB a4910e2d download
README.md 6.42 KB 0ac3141e download
.gitattributes 3.58 KB 1bf118dd download

README current version from Hugging Face


base_model: huihui-ai/QVQ-72B-Preview-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/QVQ-72B-Preview-abliterated

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

static quants are available at https://huggingface.co/mradermacher/QVQ-72B-Preview-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 i1-IQ1_S 22.8 for the desperate
GGUF i1-IQ1_M 23.8 mostly desperate
GGUF i1-IQ2_XXS 25.6
GGUF i1-IQ2_XS 27.2
GGUF i1-IQ2_S 28.0
GGUF i1-IQ2_M 29.4
GGUF i1-Q2_K_S 29.7 very low quality
GGUF i1-Q2_K 29.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 31.9 lower quality
GGUF i1-IQ3_XS 32.9
GGUF i1-IQ3_S 34.6 beats Q3_K*
GGUF i1-Q3_K_S 34.6 IQ3_XS probably better
GGUF i1-IQ3_M 35.6
GGUF i1-Q3_K_M 37.8 IQ3_S probably better
GGUF i1-Q3_K_L 39.6 IQ3_M probably better
GGUF i1-IQ4_XS 39.8
GGUF i1-Q4_0 41.5 fast, low quality
GGUF i1-Q4_K_S 44.0 optimal size/speed/quality
GGUF i1-Q4_1 45.8
GGUF i1-Q4_K_M 47.5 fast, recommended
PART 1 PART 2 i1-Q5_K_S 51.5
PART 1 PART 2 i1-Q5_K_M 54.5
PART 1 PART 2 i1-Q6_K 64.4 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 4 versions

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

  1. 2025-10-20auto-patch README.mdbb5a42b6.4 KB
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  2. 2025-07-11auto-patch README.md05ff7a06.6 KB
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  3. 2024-12-28auto-patch README.md54ff8cd6.2 KB
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  4. 2024-12-27uploaded from nico13c28fde245 B
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Discussions 1 thread

  1. 2025-01-08abliteration removes ability to use images?closed2 💬#1
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