← back to catalog · registered 2026-08-22 13:56

mradermacher/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated-i1-GGUF

mradermacher Qwen 30B GGUF MoE second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • benchmarks 11 entries
  • hub_downloads_all_time 16,414
  • 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/Huihui-Qwen3-VL-30B-A3B-Thinking-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
16K
3K last 30d - stable
Likes
3
Model age
11mo ago
created 2025-11-07
Downloads over time
Now16.8K→from1.2K↑1,306%
4156.4K12.4K18.4K1.2K on Nov 5, 202516.8K on Oct 11Nov '25JanMarMayJulSep
Nov 5, 2025 → Oct 11 · 89 snapshots · spans 340 days

Benchmarks

Benchmark Score Source
Entertainment 1 UGI
Hazardous 1.2 UGI
Natural Intelligence 14.12 UGI
Political lean -10.9% UGI
Sensitive-Info 10.42 UGI
SocPol 1 UGI
UGI 34.44 UGI
Willingness (10) 8.2 UGI
W10-Adherence 7.5 UGI
W10-Direct 9 UGI
Writing 22.11 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 · 3K 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 abliterated uncensored trl en base_model:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated license:apache-2.0 endpoints_compatible region:us imatrix

Related

Total size
302 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-04 17:32

Files by quantization

Q6_K 1 file 23.4 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q6_K.gguf 23.4 GB 5e0a8079 download
Q5_K 2 files 39.9 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q5_K_M.gguf 20.2 GB 0a2ad713 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q5_K_S.gguf 19.6 GB 254e4205 download
Q4 2 files 34.1 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q4_1.gguf 17.9 GB 38294435 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q4_0.gguf 16.2 GB a7ebe2c8 download
Q4_K 2 files 33.5 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q4_K_M.gguf 17.3 GB 7438a024 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q4_K_S.gguf 16.3 GB 5c5f6a87 download
IQ4 1 file 15.2 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ4_XS.gguf 15.2 GB 0b3bad60 download
Q3_K 3 files 40.9 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q3_K_L.gguf 14.8 GB 1b7df8cc download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q3_K_M.gguf 13.7 GB f6144d86 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q3_K_S.gguf 12.4 GB e0eb15ee download
IQ3 4 files 47.7 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ3_M.gguf 12.6 GB 91acd02d download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ3_S.gguf 12.4 GB 2fc14b44 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ3_XS.gguf 11.7 GB 4ed113f1 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ3_XXS.gguf 11.0 GB 4935e5ff download
Q2_K 2 files 20.3 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q2_K.gguf 10.5 GB a53cda3a download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-Q2_K_S.gguf 9.80 GB d62715e4 download
IQ2 4 files 34.2 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ2_M.gguf 9.47 GB ceb436e4 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ2_S.gguf 8.65 GB 3d1a7f1a download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ2_XS.gguf 8.45 GB 7e154da5 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ2_XXS.gguf 7.62 GB 80e1e198 download
IQ1 2 files 12.6 GB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ1_M.gguf 6.59 GB a6845de7 download
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.i1-IQ1_S.gguf 5.98 GB 2fa805a4 download
Auxiliary files 3 files 116 MB
Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated.imatrix.gguf 116 MB 4d1d6625 download
README.md 7.31 KB 000f0617 download
.gitattributes 3.72 KB c0916866 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • trl

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3-VL-30B-A3B-Thinking-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 0.2 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 6.5 for the desperate
GGUF i1-IQ1_M 7.2 mostly desperate
GGUF i1-IQ2_XXS 8.3
GGUF i1-IQ2_XS 9.2
GGUF i1-IQ2_S 9.4
GGUF i1-IQ2_M 10.3
GGUF i1-Q2_K_S 10.6 very low quality
GGUF i1-Q2_K 11.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 11.9 lower quality
GGUF i1-IQ3_XS 12.7
GGUF i1-Q3_K_S 13.4 IQ3_XS probably better
GGUF i1-IQ3_S 13.4 beats Q3_K*
GGUF i1-IQ3_M 13.6
GGUF i1-Q3_K_M 14.8 IQ3_S probably better
GGUF i1-Q3_K_L 16.0 IQ3_M probably better
GGUF i1-IQ4_XS 16.5
GGUF i1-Q4_0 17.5 fast, low quality
GGUF i1-Q4_K_S 17.6 optimal size/speed/quality
GGUF i1-Q4_K_M 18.7 fast, recommended
GGUF i1-Q4_1 19.3
GGUF i1-Q5_K_S 21.2
GGUF i1-Q5_K_M 21.8
GGUF i1-Q6_K 25.2 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 5 versions

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

  1. 2025-12-04auto-patch README.mdfbcbbf67.3 KB
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  2. 2025-11-07auto-patch README.md379c3267.3 KB
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  3. 2025-11-07auto-patch README.mdf28324e5.9 KB
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  4. 2025-11-07auto-patch README.mda2c19ca2.9 KB
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  5. 2025-11-07uploaded from nico1f9877c8500 B
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Discussions 1 thread

  1. 2026-01-03Could you upload a BF16 version?open1 💬#1
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