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mradermacher/Huihui-granite-4.1-30b-abliterated-GGUF

mradermacher Granite 30B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 13
  • hub_downloads_all_time 5,741
  • 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-granite-4.1-30b-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
6K
327 last 30d - cooling
Likes
0
Model age
5mo ago
created 2026-05-04
Downloads over time
Now5.8K→from0↑0%
02.1K4.3K6.4K0 on May 45.8K on Oct 11MayJunJulAugSepOct
May 4 → Oct 11 · 63 snapshots · spans 160 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 · 1K 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
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf language granite-4.1 abliterated uncensored en base_model:huihui-ai/Huihui-granite-4.1-30b-abliterated base_model:quantized:huihui-ai/Huihui-granite-4.1-30b-abliterated license:apache-2.0 endpoints_compatible region:us

Related

Total size
183 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-05-04 14:15

Files by quantization

Q8_0 1 file 28.6 GB
Huihui-granite-4.1-30b-abliterated.Q8_0.gguf 28.6 GB 01673b22 download
Q6_K 1 file 22.1 GB
Huihui-granite-4.1-30b-abliterated.Q6_K.gguf 22.1 GB a37a409b download
Q5_K 2 files 37.6 GB
Huihui-granite-4.1-30b-abliterated.Q5_K_M.gguf 19.1 GB 02a9b4fe download
Huihui-granite-4.1-30b-abliterated.Q5_K_S.gguf 18.5 GB 3041bbbf download
Q4_K 2 files 31.6 GB
Huihui-granite-4.1-30b-abliterated.Q4_K_M.gguf 16.3 GB b544085d download
Huihui-granite-4.1-30b-abliterated.Q4_K_S.gguf 15.4 GB 6bfc5142 download
IQ4 1 file 14.6 GB
Huihui-granite-4.1-30b-abliterated.IQ4_XS.gguf 14.6 GB 7b0a65c6 download
Q3_K 3 files 38.8 GB
Huihui-granite-4.1-30b-abliterated.Q3_K_L.gguf 14.1 GB f24620bb download
Huihui-granite-4.1-30b-abliterated.Q3_K_M.gguf 13.0 GB 9fbafe60 download
Huihui-granite-4.1-30b-abliterated.Q3_K_S.gguf 11.7 GB 88b16dd1 download
Q2_K 1 file 9.99 GB
Huihui-granite-4.1-30b-abliterated.Q2_K.gguf 9.99 GB c5494459 download
Auxiliary files 2 files 6.03 KB
README.md 3.83 KB 18083c65 download
.gitattributes 2.21 KB d5aa341b download

README current version from Hugging Face


base_model: huihui-ai/Huihui-granite-4.1-30b-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • language
  • granite-4.1
  • abliterated
  • uncensored

About

static quants of https://huggingface.co/huihui-ai/Huihui-granite-4.1-30b-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-granite-4.1-30b-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 Q2_K 10.8
GGUF Q3_K_S 12.7
GGUF Q3_K_M 14.1 lower quality
GGUF Q3_K_L 15.2
GGUF IQ4_XS 15.8
GGUF Q4_K_S 16.6 fast, recommended
GGUF Q4_K_M 17.6 fast, recommended
GGUF Q5_K_S 20.0
GGUF Q5_K_M 20.6
GGUF Q6_K 23.8 very good quality
GGUF Q8_0 30.8 fast, best quality

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. 2026-05-04auto-patch README.md6872ad33.8 KB
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  2. 2026-05-04auto-patch README.md8ee888d3.9 KB
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  3. 2026-05-04auto-patch README.mdb806d333.3 KB
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  4. 2026-05-04auto-patch README.mdf4c0f4f2.4 KB
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  5. 2026-05-04uploaded from rich10e02087387 B
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