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

mradermacher/Huihui-Qwen3-30B-A3B-Thinking-2507-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 23,668
  • author_summary 3328 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-Qwen3-30B-A3B-Thinking-2507-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
24K
5K last 30d - stable
Likes
9
Model age
14mo ago
created 2025-08-03
Downloads over time
Now24.3K→from1.5K↑1,535%
3469.1K17.8K26.6K1.5K on Aug 6, 202524.3K on Oct 12Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 6, 2025 → Oct 12 · 106 snapshots · spans 432 days

Benchmarks

Benchmark Score Source
Entertainment 1.3 UGI
Hazardous 1.2 UGI
Natural Intelligence 15.27 UGI
Political lean -7.8% UGI
Sensitive-Info 10.63 UGI
SocPol 0.7 UGI
UGI 33.75 UGI
Willingness (10) 8 UGI
W10-Adherence 8 UGI
W10-Direct 8 UGI
Writing 31.14 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 · 8K 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 en base_model:huihui-ai/Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
302 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-25 02:48

Files by quantization

Q6_K 1 file 23.4 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q6_K.gguf 23.4 GB 1e91af2e download
Q5_K 2 files 39.9 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q5_K_M.gguf 20.2 GB ed1ff7b3 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q5_K_S.gguf 19.6 GB 52a78d7d download
Q4 2 files 34.1 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q4_1.gguf 17.9 GB 8f6d52c1 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q4_0.gguf 16.2 GB 606b25b2 download
Q4_K 2 files 33.5 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q4_K_M.gguf 17.3 GB 084c9f58 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q4_K_S.gguf 16.3 GB 193f9b2e download
IQ4 1 file 15.2 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ4_XS.gguf 15.2 GB 058761ed download
Q3_K 3 files 40.9 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q3_K_L.gguf 14.8 GB 247f934f download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q3_K_M.gguf 13.7 GB 88c81f2e download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q3_K_S.gguf 12.4 GB 8c0dabba download
IQ3 4 files 47.7 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ3_M.gguf 12.6 GB b9eae0d2 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ3_S.gguf 12.4 GB d50c75c6 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ3_XS.gguf 11.7 GB d5eaed37 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ3_XXS.gguf 11.0 GB b23f14e9 download
Q2_K 2 files 20.3 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q2_K.gguf 10.5 GB d76d0097 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-Q2_K_S.gguf 9.80 GB a60f7be2 download
IQ2 4 files 34.2 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ2_M.gguf 9.47 GB 5a276585 download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ2_S.gguf 8.65 GB 4e6f774d download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ2_XS.gguf 8.45 GB e147aa2f download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ2_XXS.gguf 7.62 GB 14425ce4 download
IQ1 2 files 12.6 GB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ1_M.gguf 6.59 GB f05776cc download
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.i1-IQ1_S.gguf 5.98 GB 8be7eb94 download
Auxiliary files 3 files 116 MB
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated.imatrix.gguf 116 MB 989683cb download
README.md 7.32 KB 859325eb download
.gitattributes 3.77 KB cdd4d743 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-30B-A3B-Thinking-2507-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-Qwen3-30B-A3B-Thinking-2507-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 0.2 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 3 versions

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

  1. 2025-12-25auto-patch README.mda88392e7.3 KB
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  2. 2025-08-03auto-patch README.md20790287.3 KB
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  3. 2025-08-03uploaded from nico144a42ef501 B
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