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mradermacher/Qwen3-VL-32B-Abliterated-xCloud-i1-GGUF

mradermacher Qwen 32B GGUF multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 2,093
  • 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='xCloudinfo/Qwen3-VL-32B-Abliterated-xCloud' (base has 'abliterated' marker, assume M1 default)
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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
2K
1K last 30d - active
Likes
0
Model age
7w ago
created 2026-08-22
Downloads over time
Now2.3K→from0↑0%
08441.7K2.5K0 on Aug 192.3K on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 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

License
apache-2.0
Languages
en zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf uncensored abliterated multimodal vision qwen3_vl en zh base_model:xCloudinfo/Qwen3-VL-32B-Abliterated-xCloud base_model:quantized:xCloudinfo/Qwen3-VL-32B-Abliterated-xCloud license:apache-2.0

Related

Total size
328 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-22 08:55

Files by quantization

Q6_K 1 file 25.0 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-Q6_K.gguf 25.0 GB cae9a4ae download
Q5_K 2 files 42.7 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-Q5_K_M.gguf 21.6 GB 3b9a7e6d download
Qwen3-VL-32B-Abliterated-xCloud.i1-Q5_K_S.gguf 21.1 GB cfec7344 download
Q4 2 files 36.6 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-Q4_1.gguf 19.2 GB 1a44f663 download
Qwen3-VL-32B-Abliterated-xCloud.i1-Q4_0.gguf 17.4 GB 70c4f3f3 download
Q4_K 2 files 35.9 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-Q4_K_M.gguf 18.4 GB 0079ff3e download
Qwen3-VL-32B-Abliterated-xCloud.i1-Q4_K_S.gguf 17.5 GB b522c894 download
IQ4 1 file 16.5 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ4_XS.gguf 16.5 GB 008ab770 download
Q3_K 3 files 44.4 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-Q3_K_L.gguf 16.1 GB 5b8218c6 download
Qwen3-VL-32B-Abliterated-xCloud.i1-Q3_K_M.gguf 14.9 GB ec8f82fb download
Qwen3-VL-32B-Abliterated-xCloud.i1-Q3_K_S.gguf 13.4 GB d7220c9e download
IQ3 4 files 52.1 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ3_M.gguf 13.9 GB f25cb9de download
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ3_S.gguf 13.4 GB acc987fd download
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ3_XS.gguf 12.8 GB 40861ca7 download
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ3_XXS.gguf 11.9 GB 2388fd91 download
Q2_K 2 files 22.2 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-Q2_K.gguf 11.5 GB f86e7ebd download
Qwen3-VL-32B-Abliterated-xCloud.i1-Q2_K_S.gguf 10.7 GB e5088654 download
IQ2 4 files 38.0 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ2_M.gguf 10.6 GB ee97da81 download
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ2_S.gguf 9.79 GB dc55ed83 download
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ2_XS.gguf 9.27 GB d37b10fc download
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ2_XXS.gguf 8.40 GB 774ce5eb download
IQ1 2 files 14.2 GB
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ1_M.gguf 7.41 GB e1eaa8fc download
Qwen3-VL-32B-Abliterated-xCloud.i1-IQ1_S.gguf 6.82 GB f177b976 download
Auxiliary files 3 files 14.6 MB
Qwen3-VL-32B-Abliterated-xCloud.imatrix.gguf 14.6 MB 47d4a2b9 download
README.md 6.67 KB 81fb5088 download
.gitattributes 3.42 KB 74fad9a8 download

README current version from Hugging Face


base_model: xCloudinfo/Qwen3-VL-32B-Abliterated-xCloud
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • uncensored
  • abliterated
  • multimodal
  • vision
  • qwen3_vl

About

weighted/imatrix quants of https://huggingface.co/xCloudinfo/Qwen3-VL-32B-Abliterated-xCloud

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-VL-32B-Abliterated-xCloud-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 7.4 for the desperate
GGUF i1-IQ1_M 8.1 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_XS 10.1
GGUF i1-IQ2_S 10.6
GGUF i1-IQ2_M 11.5
GGUF i1-Q2_K_S 11.6 very low quality
GGUF i1-Q2_K 12.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-IQ3_XS 13.8
GGUF i1-Q3_K_S 14.5 IQ3_XS probably better
GGUF i1-IQ3_S 14.5 beats Q3_K*
GGUF i1-IQ3_M 15.0
GGUF i1-Q3_K_M 16.1 IQ3_S probably better
GGUF i1-Q3_K_L 17.4 IQ3_M probably better
GGUF i1-IQ4_XS 17.8
GGUF i1-Q4_0 18.8 fast, low quality
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 19.9 fast, recommended
GGUF i1-Q4_1 20.7
GGUF i1-Q5_K_S 22.7
GGUF i1-Q5_K_M 23.3
GGUF i1-Q6_K 27.0 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. 2026-08-22auto-patch README.md2e88a396.7 KB
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  2. 2026-08-22auto-patch README.mdebd95d05.5 KB
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  3. 2026-08-22auto-patch README.mdee0376b4.1 KB
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  4. 2026-08-22uploaded from nico14a8a67d488 B
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