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mradermacher/Huihui-granite-4.0-h-tiny-abliterated-GGUF

mradermacher Granite GGUF second-order 1.0M ctx
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Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 3,955
  • 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-4.0-h-tiny-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
4K
1K last 30d - stable
Likes
2
Model age
12mo ago
created 2025-10-04
Downloads over time
Now4.5K→from404↑1,004%
2011.8K3.3K4.9K404 on Oct 8, 20254.5K on Oct 11Oct '25Dec '25FebAprJunAugOct
Oct 8, 2025 → Oct 11 · 92 snapshots · spans 368 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
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf language granite-4.0 abliterated uncensored en base_model:huihui-ai/Huihui-granite-4.0-h-tiny-abliterated base_model:quantized:huihui-ai/Huihui-granite-4.0-h-tiny-abliterated license:apache-2.0 endpoints_compatible region:us

Related

Total size
57.2 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-10-04 20:51

Files by quantization

F16 1 file 12.9 GB
Huihui-granite-4.0-h-tiny-abliterated.f16.gguf 12.9 GB 622a1a87 download
Q8_0 1 file 6.88 GB
Huihui-granite-4.0-h-tiny-abliterated.Q8_0.gguf 6.88 GB ddef3014 download
Q6_K 1 file 5.32 GB
Huihui-granite-4.0-h-tiny-abliterated.Q6_K.gguf 5.32 GB b66493ee download
Q5_K 2 files 9.09 GB
Huihui-granite-4.0-h-tiny-abliterated.Q5_K_M.gguf 4.61 GB 4675edf5 download
Huihui-granite-4.0-h-tiny-abliterated.Q5_K_S.gguf 4.48 GB 6cb12e3a download
Q4_K 2 files 7.66 GB
Huihui-granite-4.0-h-tiny-abliterated.Q4_K_M.gguf 3.94 GB 1d7251a3 download
Huihui-granite-4.0-h-tiny-abliterated.Q4_K_S.gguf 3.72 GB 5df0d7fc download
IQ4 1 file 3.53 GB
Huihui-granite-4.0-h-tiny-abliterated.IQ4_XS.gguf 3.53 GB 37be24fe download
Q3_K 3 files 9.33 GB
Huihui-granite-4.0-h-tiny-abliterated.Q3_K_L.gguf 3.35 GB 00f59e79 download
Huihui-granite-4.0-h-tiny-abliterated.Q3_K_M.gguf 3.12 GB 9ce49e01 download
Huihui-granite-4.0-h-tiny-abliterated.Q3_K_S.gguf 2.85 GB cc2b1e00 download
Q2_K 1 file 2.41 GB
Huihui-granite-4.0-h-tiny-abliterated.Q2_K.gguf 2.41 GB f844dc6b download
Auxiliary files 2 files 6.55 KB
README.md 4.07 KB d4b35ba7 download
.gitattributes 2.48 KB ad1bcc55 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-granite-4.0-h-tiny-abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • language
  • granite-4.0
  • abliterated
  • uncensored

About

static quants of https://huggingface.co/huihui-ai/Huihui-granite-4.0-h-tiny-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-4.0-h-tiny-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 2.7
GGUF Q3_K_S 3.2
GGUF Q3_K_M 3.5 lower quality
GGUF Q3_K_L 3.7
GGUF IQ4_XS 3.9
GGUF Q4_K_S 4.1 fast, recommended
GGUF Q4_K_M 4.3 fast, recommended
GGUF Q5_K_S 4.9
GGUF Q5_K_M 5.0
GGUF Q6_K 5.8 very good quality
GGUF Q8_0 7.5 fast, best quality
GGUF f16 14.0 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 4 versions

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

  1. 2025-10-04auto-patch README.mde0145b04.1 KB
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  2. 2025-10-04auto-patch README.mddedd2d44.2 KB
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  3. 2025-10-04auto-patch README.md0dba7fe4 KB
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  4. 2025-10-04uploaded from marco8358c85390 B
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