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mradermacher/Huihui-Qwen3.5-9B-abliterated-i1-GGUF

mradermacher Qwen 9B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • benchmarks 11 entries
  • hub_downloads_all_time 58,552
  • author_summary 3327 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-Qwen3.5-9B-abliterated' (base is huihui-ai model (M3))
Refusal direction extraction

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Downloads · lifetime
59K
15K last 30d - stable
Likes
18
Model age
7mo ago
created 2026-03-10
Downloads over time
Now65.3K→from4.5K↑1,365%
1.4K24.7K48K71.3K4.5K on Mar 1165.3K on Oct 12MarAprMayJunJulAugSepOct
Mar 11 → Oct 12 · 72 snapshots · spans 215 days

Benchmarks

Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.8 UGI
Natural Intelligence 14.88 UGI
Political lean -6.0% UGI
Sensitive-Info 11.44 UGI
SocPol 0.9 UGI
UGI 37.63 UGI
Willingness (10) 9 UGI
W10-Adherence 9 UGI
W10-Direct 9 UGI
Writing 29.12 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 · 109K 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-Qwen3.5-9B-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3.5-9B-abliterated license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
100 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-03-10 06:58

Files by quantization

Q6_K 1 file 6.85 GB
Huihui-Qwen3.5-9B-abliterated.i1-Q6_K.gguf 6.85 GB 8b100b32 download
Q5_K 2 files 11.9 GB
Huihui-Qwen3.5-9B-abliterated.i1-Q5_K_M.gguf 6.07 GB dc80bcc9 download
Huihui-Qwen3.5-9B-abliterated.i1-Q5_K_S.gguf 5.87 GB 9f2b7a8a download
Q4 2 files 10.4 GB
Huihui-Qwen3.5-9B-abliterated.i1-Q4_1.gguf 5.41 GB d1af8ad8 download
Huihui-Qwen3.5-9B-abliterated.i1-Q4_0.gguf 4.96 GB 2be6282b download
Q4_K 2 files 10.2 GB
Huihui-Qwen3.5-9B-abliterated.i1-Q4_K_M.gguf 5.24 GB 1b251677 download
Huihui-Qwen3.5-9B-abliterated.i1-Q4_K_S.gguf 4.97 GB 8e6b125a download
IQ4 2 files 9.67 GB
Huihui-Qwen3.5-9B-abliterated.i1-IQ4_NL.gguf 4.95 GB 64f568da download
Huihui-Qwen3.5-9B-abliterated.i1-IQ4_XS.gguf 4.72 GB 1955394c download
Q3_K 3 files 12.8 GB
Huihui-Qwen3.5-9B-abliterated.i1-Q3_K_L.gguf 4.49 GB 382c6ba1 download
Huihui-Qwen3.5-9B-abliterated.i1-Q3_K_M.gguf 4.30 GB d9edcf01 download
Huihui-Qwen3.5-9B-abliterated.i1-Q3_K_S.gguf 3.97 GB ec766d7b download
IQ3 4 files 15.5 GB
Huihui-Qwen3.5-9B-abliterated.i1-IQ3_M.gguf 4.11 GB d71fcfd0 download
Huihui-Qwen3.5-9B-abliterated.i1-IQ3_S.gguf 3.97 GB 6a87460b download
Huihui-Qwen3.5-9B-abliterated.i1-IQ3_XS.gguf 3.85 GB a7ee032c download
Huihui-Qwen3.5-9B-abliterated.i1-IQ3_XXS.gguf 3.53 GB fca28a29 download
Q2_K 2 files 6.66 GB
Huihui-Qwen3.5-9B-abliterated.i1-Q2_K.gguf 3.39 GB 3715f77c download
Huihui-Qwen3.5-9B-abliterated.i1-Q2_K_S.gguf 3.27 GB b0048f97 download
IQ2 4 files 11.7 GB
Huihui-Qwen3.5-9B-abliterated.i1-IQ2_M.gguf 3.18 GB a3d65b4a download
Huihui-Qwen3.5-9B-abliterated.i1-IQ2_S.gguf 2.99 GB 46e2e01c download
Huihui-Qwen3.5-9B-abliterated.i1-IQ2_XS.gguf 2.85 GB fbf7c6cc download
Huihui-Qwen3.5-9B-abliterated.i1-IQ2_XXS.gguf 2.66 GB 4799e4c7 download
IQ1 2 files 4.70 GB
Huihui-Qwen3.5-9B-abliterated.i1-IQ1_M.gguf 2.42 GB a9947d59 download
Huihui-Qwen3.5-9B-abliterated.i1-IQ1_S.gguf 2.28 GB aa73664d download
Auxiliary files 3 files 4.92 MB
Huihui-Qwen3.5-9B-abliterated.imatrix.gguf 4.91 MB 697e57d0 download
README.md 6.75 KB c5e80b16 download
.gitattributes 3.45 KB 5ff66fdb download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3.5-9B-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3.5-9B-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-Qwen3.5-9B-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 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 2.5 for the desperate
GGUF i1-IQ1_M 2.7 mostly desperate
GGUF i1-IQ2_XXS 3.0
GGUF i1-IQ2_XS 3.2
GGUF i1-IQ2_S 3.3
GGUF i1-IQ2_M 3.5
GGUF i1-Q2_K_S 3.6 very low quality
GGUF i1-Q2_K 3.7 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.9 lower quality
GGUF i1-IQ3_XS 4.2
GGUF i1-Q3_K_S 4.4 IQ3_XS probably better
GGUF i1-IQ3_S 4.4 beats Q3_K*
GGUF i1-IQ3_M 4.5
GGUF i1-Q3_K_M 4.7 IQ3_S probably better
GGUF i1-Q3_K_L 4.9 IQ3_M probably better
GGUF i1-IQ4_XS 5.2
GGUF i1-IQ4_NL 5.4 prefer IQ4_XS
GGUF i1-Q4_0 5.4 fast, low quality
GGUF i1-Q4_K_S 5.4 optimal size/speed/quality
GGUF i1-Q4_K_M 5.7 fast, recommended
GGUF i1-Q4_1 5.9
GGUF i1-Q5_K_S 6.4
GGUF i1-Q5_K_M 6.6
GGUF i1-Q6_K 7.5 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. 2026-03-10auto-patch README.md4cc15cd6.8 KB
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  2. 2026-03-10auto-patch README.mdc7ae4b44.9 KB
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  3. 2026-03-10uploaded from nico19679274485 B
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Discussions 1 thread

  1. 2026-03-21Can I use the mmproj from *unsloth/Qwen3.5‑9B‑GGUF* together with the model you…open1 💬#1
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