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

mradermacher/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated-GGUF

mradermacher Qwen 4B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 16
  • hub_downloads_all_time 25,643
  • 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-Qwen3.5-4B-Claude-4.6-Opus-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
26K
3K last 30d - stable
Likes
12
Model age
6mo ago
created 2026-03-16
Downloads over time
Now26.8K→from4.2K↑537%
3.1K11.7K20.4K29K4.2K on Mar 1826.8K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 70 snapshots · spans 207 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 · 5K 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
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf abliterated uncensored Claude reasoning chain-of-thought Dense en base_model:huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated license:apache-2.0

Related

Total size
36.2 GB
Files
16
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-03-16 12:42

Files by quantization

F16 2 files 8.47 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.f16.gguf 7.85 GB 507d9baf download
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.mmproj-f16.gguf 641 MB b4261fde download
Q8_0 2 files 4.52 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q8_0.gguf 4.17 GB ad0c1730 download
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.mmproj-Q8_0.gguf 350 MB 2f976353 download
Q6_K 1 file 3.23 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q6_K.gguf 3.23 GB 1b5578d9 download
Q5_K 2 files 5.65 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q5_K_M.gguf 2.86 GB 3cd00392 download
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q5_K_S.gguf 2.78 GB e9e36b74 download
Q4_K 2 files 4.91 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q4_K_M.gguf 2.52 GB b285e4d6 download
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q4_K_S.gguf 2.39 GB 6944e11f download
IQ4 1 file 2.36 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.IQ4_XS.gguf 2.36 GB 1f5c846a download
Q3_K 3 files 6.29 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q3_K_L.gguf 2.26 GB fd4e5eb0 download
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q3_K_M.gguf 2.11 GB 2960e81f download
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q3_K_S.gguf 1.93 GB 3070fb0a download
Q2_K 1 file 1.78 GB
Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated.Q2_K.gguf 1.78 GB fbf0f8a4 download
Auxiliary files 2 files 7.62 KB
README.md 4.85 KB b639620b download
.gitattributes 2.77 KB 7252672e download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated
language:


About

static quants of https://huggingface.co/huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated-i1-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 mmproj-Q8_0 0.5 multi-modal supplement
GGUF mmproj-f16 0.8 multi-modal supplement
GGUF Q2_K 2.0
GGUF Q3_K_S 2.2
GGUF Q3_K_M 2.4 lower quality
GGUF Q3_K_L 2.5
GGUF IQ4_XS 2.6
GGUF Q4_K_S 2.7 fast, recommended
GGUF Q4_K_M 2.8 fast, recommended
GGUF Q5_K_S 3.1
GGUF Q5_K_M 3.2
GGUF Q6_K 3.6 very good quality
GGUF Q8_0 4.6 fast, best quality
GGUF f16 8.5 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 3 versions

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

  1. 2026-03-16auto-patch README.md4cb08e84.8 KB
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  2. 2026-03-16auto-patch README.mda9971cf2.6 KB
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  3. 2026-03-16uploaded from nico15c3fba7398 B
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