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mradermacher/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated-i1-GGUF

mradermacher Gemma GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 4,820
  • 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-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated' (base is huihui-ai model (M3))
Refusal direction extraction

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Downloads · lifetime
5K
2K last 30d - stable
Likes
2
Model age
4mo ago
created 2026-06-10
Downloads over time
Now5.5K→from382↑1,331%
1282.1K4K6K382 on Jun 105.5K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 0 direct forks

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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
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K
Tags
transformers gguf abliterated uncensored en license:apache-2.0 endpoints_compatible region:us imatrix conversational

Related

Total size
58.0 GB
Files
24
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-10-01 20:00

Files by quantization

Q4 2 files 6.35 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q4_1.gguf 3.23 GB 8d85f9eb download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q4_0.gguf 3.12 GB ef1e8709 download
Q4_K 2 files 6.31 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q4_K_M.gguf 3.18 GB aab17cd2 download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q4_K_S.gguf 3.12 GB cb230492 download
IQ4 2 files 6.19 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ4_NL.gguf 3.12 GB c9ee68ef download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ4_XS.gguf 3.07 GB 7482eefa download
Q3_K 3 files 8.91 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_L.gguf 3.05 GB ddf18dec download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_M.gguf 2.97 GB f15c9f73 download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_S.gguf 2.89 GB 731688a9 download
IQ3 4 files 11.1 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_M.gguf 2.91 GB 7a636d5a download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_S.gguf 2.89 GB c973807c download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_XS.gguf 2.85 GB 79dd3ade download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_XXS.gguf 2.47 GB 1ed45738 download
Q2_K 2 files 5.50 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q2_K.gguf 2.78 GB b2a86900 download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-Q2_K_S.gguf 2.72 GB f0804fd7 download
IQ2 4 files 9.27 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_M.gguf 2.38 GB 38881bc8 download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_S.gguf 2.33 GB 89aec7ba download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_XS.gguf 2.31 GB 94a8ca9e download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_XXS.gguf 2.25 GB 2ec8d341 download
IQ1 2 files 4.35 GB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_M.gguf 2.19 GB fc3ac4ce download
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_S.gguf 2.16 GB f00f1d61 download
Auxiliary files 3 files 2.70 MB
Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated.imatrix.gguf 2.69 MB 7ec59767 download
README.md 7.42 KB 6799b57a download
.gitattributes 3.75 KB 74d0a309 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-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-gemma-4-E2B-it-qat-q4_0-unquantized-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 2.4 for the desperate
GGUF i1-IQ1_M 2.5 mostly desperate
GGUF i1-IQ2_XXS 2.5
GGUF i1-IQ2_XS 2.6
GGUF i1-IQ2_S 2.6
GGUF i1-IQ2_M 2.7
GGUF i1-IQ3_XXS 2.7 lower quality
GGUF i1-Q2_K_S 3.0 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XS 3.2
GGUF i1-Q3_K_S 3.2 IQ3_XS probably better
GGUF i1-IQ3_S 3.2 beats Q3_K*
GGUF i1-IQ3_M 3.2
GGUF i1-Q3_K_M 3.3 IQ3_S probably better
GGUF i1-Q3_K_L 3.4 IQ3_M probably better
GGUF i1-IQ4_XS 3.4
GGUF i1-IQ4_NL 3.5 prefer IQ4_XS
GGUF i1-Q4_0 3.5 fast, low quality
GGUF i1-Q4_K_S 3.5 optimal size/speed/quality
GGUF i1-Q4_K_M 3.5 fast, recommended
GGUF i1-Q4_1 3.6

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. 2026-10-01auto-patch README.mdbb800737.2 KB
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  2. 2026-06-10auto-patch README.md9a627f57.4 KB
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  3. 2026-06-10uploaded from nico18a99d4e491 B
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