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mradermacher/Qwen3.5-9B-Abliterated-HSAQ-v2-GGUF

mradermacher Qwen 9B GGUF second-order 262K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 1,314
  • 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='MethodWhite/Qwen3.5-9B-Abliterated-HSAQ-v2' (base has 'abliterated' marker, assume M1 default)
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.

What is a refusal direction? →
Downloads · lifetime
1K
517 last 30d - stable
Likes
0
Model age
7w ago
created 2026-08-23
Downloads over time
Now1.4K→from528↑168%
4848231.2K1.5K528 on Aug 261.4K on Oct 11AugSepOct
Aug 26 → Oct 11 · 47 snapshots · spans 46 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
other
Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf hsaq hsaqr v2 abliterated sparse adaptive en base_model:MethodWhite/Qwen3.5-9B-Abliterated-HSAQ-v2 base_model:quantized:MethodWhite/Qwen3.5-9B-Abliterated-HSAQ-v2 license:other

Related

Total size
61.4 GB
Files
14
Quantizations
9
Registered
2026-08-23 05:02
Last updated on HF
2026-08-23 15:31

Files by quantization

F16 1 file 13.2 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.f16.gguf 13.2 GB 04ef1acd download
Q8_0 1 file 6.99 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.Q8_0.gguf 6.99 GB 40641aa5 download
Q6_K 1 file 5.62 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.Q6_K.gguf 5.62 GB c91e648b download
Q5_K 2 files 9.62 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.Q5_K_M.gguf 4.91 GB 5ee24381 download
Qwen3.5-9B-Abliterated-HSAQ-v2.Q5_K_S.gguf 4.71 GB 83256d30 download
Q4_K 2 files 8.42 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.Q4_K_M.gguf 4.34 GB be2375f4 download
Qwen3.5-9B-Abliterated-HSAQ-v2.Q4_K_S.gguf 4.09 GB f4045ca1 download
IQ4 1 file 3.95 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.IQ4_XS.gguf 3.95 GB 6a7b8167 download
Q3_K 3 files 10.6 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.Q3_K_L.gguf 3.73 GB 4ab619cd download
Qwen3.5-9B-Abliterated-HSAQ-v2.Q3_K_M.gguf 3.57 GB 0af2c6df download
Qwen3.5-9B-Abliterated-HSAQ-v2.Q3_K_S.gguf 3.33 GB 9c4c92f7 download
Q2_K 1 file 3.04 GB
Qwen3.5-9B-Abliterated-HSAQ-v2.Q2_K.gguf 3.04 GB 4f24c161 download
Auxiliary files 2 files 6.39 KB
README.md 3.99 KB d3d03318 download
.gitattributes 2.40 KB 4405572b download

README current version from Hugging Face


base_model: MethodWhite/Qwen3.5-9B-Abliterated-HSAQ-v2
language:

  • en
    library_name: transformers
    license: other
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • hsaq
  • hsaqr
  • v2
  • abliterated
  • sparse
  • adaptive

About

static quants of https://huggingface.co/MethodWhite/Qwen3.5-9B-Abliterated-HSAQ-v2

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 3.4
GGUF Q3_K_S 3.7
GGUF Q3_K_M 3.9 lower quality
GGUF Q3_K_L 4.1
GGUF IQ4_XS 4.3
GGUF Q4_K_S 4.5 fast, recommended
GGUF Q4_K_M 4.8 fast, recommended
GGUF Q5_K_S 5.2
GGUF Q5_K_M 5.4
GGUF Q6_K 6.1 very good quality
GGUF Q8_0 7.6 fast, best quality
GGUF f16 14.2 16 bpw, overkill

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.

README history 5 versions

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

  1. 2026-08-23auto-patch README.mda0d818f3.9 KB
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  2. 2026-08-23auto-patch README.md3c1bce94 KB
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  3. 2026-08-23auto-patch README.mdae20d9d3.8 KB
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  4. 2026-08-23auto-patch README.md3df92cb3 KB
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  5. 2026-08-23uploaded from marco8b414c6385 B
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