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mradermacher/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-i1-GGUF

mradermacher Gemma 31B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 23
  • hub_downloads_all_time 7,746
  • 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-4-31B-it-qat-q4_0-unquantized-abliterated' (base is huihui-ai model (M3))
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Downloads · lifetime
8K
2K last 30d - stable
Likes
1
Model age
4mo ago
created 2026-06-12
Downloads over time
Now8.2K→from320↑2,468%
03K6K9K320 on Jun 108.2K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 0 direct forks

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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
248 GB
Files
23
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-10-03 17:32

Files by quantization

Q4 2 files 34.6 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q4_1.gguf 18.1 GB 5c85362b download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q4_0.gguf 16.5 GB 4f91cfd9 download
Q4_K 2 files 33.9 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q4_K_M.gguf 17.4 GB cac66e94 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q4_K_S.gguf 16.5 GB 466602fd download
IQ4 1 file 15.6 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ4_XS.gguf 15.6 GB ab27a946 download
Q3_K 3 files 42.5 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_L.gguf 15.5 GB a6995e75 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_M.gguf 14.2 GB b47873b1 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q3_K_S.gguf 12.8 GB db32e1fe download
IQ3 4 files 49.7 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_M.gguf 13.4 GB 6b6ef86b download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_S.gguf 12.8 GB b374d5c1 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_XS.gguf 12.2 GB 5387ee67 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ3_XXS.gguf 11.2 GB 18cf9914 download
Q2_K 2 files 21.3 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q2_K.gguf 11.1 GB 581cc513 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-Q2_K_S.gguf 10.2 GB 83e1bdf5 download
IQ2 4 files 36.6 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_M.gguf 10.2 GB 379487a6 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_S.gguf 9.46 GB 174385ce download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_XS.gguf 8.88 GB 353b6e0c download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ2_XXS.gguf 8.08 GB 3a364173 download
IQ1 2 files 13.9 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_M.gguf 7.20 GB f2521fd6 download
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.i1-IQ1_S.gguf 6.67 GB 91c6b4ee download
Auxiliary files 3 files 13.1 MB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated.imatrix.gguf 13.1 MB 7eacee32 download
README.md 7.21 KB 14cc4cb0 download
.gitattributes 3.65 KB c9a5a25d download

README current version from Hugging Face


base_model: huihui-ai/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-gemma-4-31B-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-4-31B-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 7.3 for the desperate
GGUF i1-IQ1_M 7.8 mostly desperate
GGUF i1-IQ2_XXS 8.8
GGUF i1-IQ2_XS 9.6
GGUF i1-IQ2_S 10.3
GGUF i1-IQ2_M 11.0
GGUF i1-Q2_K_S 11.1 very low quality
GGUF i1-Q2_K 12.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.2 lower quality
GGUF i1-IQ3_XS 13.2
GGUF i1-IQ3_S 13.9 beats Q3_K*
GGUF i1-Q3_K_S 13.9 IQ3_XS probably better
GGUF i1-IQ3_M 14.5
GGUF i1-Q3_K_M 15.4 IQ3_S probably better
GGUF i1-Q3_K_L 16.7 IQ3_M probably better
GGUF i1-IQ4_XS 16.8
GGUF i1-Q4_0 17.8 fast, low quality
GGUF i1-Q4_K_S 17.9 optimal size/speed/quality
GGUF i1-Q4_K_M 18.8 fast, recommended
GGUF i1-Q4_1 19.6

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 8 versions

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

  1. 2026-10-03auto-patch README.mdbac05af7 KB
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  2. 2026-07-03auto-patch README.md534831a7.2 KB
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  3. 2026-06-30auto-patch README.md57e63ff7 KB
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  4. 2026-06-12auto-patch README.mdbe6de457.2 KB
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  7. 2026-06-12auto-patch README.md8ef65283 KB
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  8. 2026-06-12uploaded from nico1a6375a6491 B
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