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mradermacher/Huihui-Qwopus3.5-9B-v3-abliterated-i1-GGUF

mradermacher Qwen 9B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 14,091
  • 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-Qwopus3.5-9B-v3-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
14K
1K last 30d - cooling
Likes
6
Model age
6mo ago
created 2026-04-05
Downloads over time
Now14.4K→from0↑0%
05.3K10.6K15.9K0 on Apr 514.4K on Oct 11AprMayJunJulAugSepOct
Apr 5 → Oct 11 · 67 snapshots · spans 189 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 · 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 zh ko
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored unsloth qwen qwen3.5 reasoning chain-of-thought lora competitive-programming en

Related

Total size
103 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-04-05 12:48

Files by quantization

Q6_K 1 file 6.85 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q6_K.gguf 6.85 GB 1301064a download
Q5_K 2 files 11.9 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q5_K_M.gguf 6.02 GB efe3712b download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q5_K_S.gguf 5.87 GB 6587e5c3 download
Q4 2 files 10.4 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q4_1.gguf 5.41 GB 7a3364c3 download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q4_0.gguf 4.96 GB 2a88eacb download
Q4_K 2 files 10.2 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q4_K_M.gguf 5.24 GB c5ff2fb6 download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q4_K_S.gguf 4.98 GB 6acd296b download
IQ4 2 files 9.89 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ4_NL.gguf 5.05 GB 2bd8384d download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ4_XS.gguf 4.84 GB 6f557650 download
Q3_K 3 files 12.9 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q3_K_L.gguf 4.59 GB d0661ab7 download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q3_K_M.gguf 4.31 GB c9f3c89c download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q3_K_S.gguf 3.97 GB 43ea1eea download
IQ3 4 files 15.8 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ3_M.gguf 4.11 GB 03334144 download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ3_S.gguf 4.07 GB e41ab7dc download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ3_XS.gguf 3.95 GB ffcde273 download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ3_XXS.gguf 3.67 GB 861bcd0f download
Q2_K 2 files 7.01 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q2_K.gguf 3.56 GB 58745783 download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-Q2_K_S.gguf 3.44 GB 34137578 download
IQ2 4 files 12.5 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ2_M.gguf 3.36 GB c29436fd download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ2_S.gguf 3.19 GB 7a5d5b85 download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ2_XS.gguf 3.06 GB 7835445f download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ2_XXS.gguf 2.89 GB 0a312a3d download
IQ1 2 files 5.23 GB
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ1_M.gguf 2.68 GB 2895b23f download
Huihui-Qwopus3.5-9B-v3-abliterated.i1-IQ1_S.gguf 2.55 GB dc01abf9 download
Auxiliary files 3 files 4.92 MB
Huihui-Qwopus3.5-9B-v3-abliterated.imatrix.gguf 4.91 MB fa309f07 download
README.md 7.05 KB 00dee2dd download
.gitattributes 3.57 KB 6e83dc84 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwopus3.5-9B-v3-abliterated
language:

  • en
  • zh
  • ko
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • unsloth
  • qwen
  • qwen3.5
  • reasoning
  • chain-of-thought
  • lora
  • competitive-programming

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwopus3.5-9B-v3-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-Qwopus3.5-9B-v3-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 2.8 for the desperate
GGUF i1-IQ1_M 3.0 mostly desperate
GGUF i1-IQ2_XXS 3.2
GGUF i1-IQ2_XS 3.4
GGUF i1-IQ2_S 3.5
GGUF i1-IQ2_M 3.7
GGUF i1-Q2_K_S 3.8 very low quality
GGUF i1-Q2_K 3.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 4.0 lower quality
GGUF i1-IQ3_XS 4.3
GGUF i1-Q3_K_S 4.4 IQ3_XS probably better
GGUF i1-IQ3_S 4.5 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 5.0 IQ3_M probably better
GGUF i1-IQ4_XS 5.3
GGUF i1-Q4_0 5.4 fast, low quality
GGUF i1-Q4_K_S 5.5 optimal size/speed/quality
GGUF i1-IQ4_NL 5.5 prefer IQ4_XS
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. 2026-04-05auto-patch README.md54f7bbe7.1 KB
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  2. 2026-04-05auto-patch README.md5eb79b53.3 KB
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  3. 2026-04-05uploaded from nico1b328864490 B
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