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mradermacher/Huihui-EXAONE-4.0-1.2B-abliterated-i1-GGUF

mradermacher 1.2B GGUF second-order 66K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,438
  • 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-EXAONE-4.0-1.2B-abliterated' (base is huihui-ai model (M3))
Refusal direction extraction

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Downloads · lifetime
3K
892 last 30d - stable
Likes
1
Model age
14mo ago
created 2025-07-19
Downloads over time
Now3.6K→from0↑0%
01.3K2.6K3.9K0 on Jul 16, 20253.6K on Oct 12Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 16, 2025 → Oct 12 · 105 snapshots · spans 453 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
other
Languages
en ko es
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf lg-ai exaone exaone-4.0 abliterated uncensored en ko es base_model:huihui-ai/Huihui-EXAONE-4.0-1.2B-abliterated base_model:quantized:huihui-ai/Huihui-EXAONE-4.0-1.2B-abliterated

Related

Total size
14.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-19 08:24

Files by quantization

Q6_K 1 file 1005 MB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q6_K.gguf 1005 MB 2a717943 download
Q5_K 2 files 1.72 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q5_K_M.gguf 887 MB 7a095f16 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q5_K_S.gguf 870 MB a19259bf download
Q4 2 files 1.51 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q4_1.gguf 806 MB a29fc6f7 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q4_0.gguf 744 MB d5011d0b download
Q4_K 2 files 1.48 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q4_K_M.gguf 775 MB 62180b69 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q4_K_S.gguf 746 MB 65f03346 download
IQ4 2 files 1.43 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ4_NL.gguf 746 MB 4b07ffcd download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ4_XS.gguf 715 MB 0cd26b0e download
Q3_K 3 files 1.93 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q3_K_L.gguf 707 MB 80da8e3a download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q3_K_M.gguf 660 MB 81d2a6b4 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q3_K_S.gguf 607 MB f1e05a7b download
IQ3 4 files 2.31 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ3_M.gguf 630 MB 0c09441e download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ3_S.gguf 611 MB 50607fd7 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ3_XS.gguf 587 MB bfd8bc4e download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ3_XXS.gguf 534 MB 449e8622 download
Q2_K 2 files 1.04 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q2_K.gguf 547 MB e0bf2e98 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-Q2_K_S.gguf 516 MB a30f1e23 download
IQ2 4 files 1.78 GB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ2_M.gguf 492 MB 86c3b48c download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ2_S.gguf 465 MB b8c20046 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ2_XS.gguf 446 MB 3b7325c9 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ2_XXS.gguf 416 MB 77947f16 download
IQ1 2 files 746 MB
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ1_M.gguf 383 MB 158fd086 download
Huihui-EXAONE-4.0-1.2B-abliterated.i1-IQ1_S.gguf 363 MB bb93ba91 download
Auxiliary files 3 files 1.89 MB
imatrix.dat 1.88 MB a8c3d176 download
README.md 6.43 KB 57fc49d1 download
.gitattributes 3.53 KB 1888c981 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-EXAONE-4.0-1.2B-abliterated
language:

  • en
  • ko
  • es
    library_name: transformers
    license: other
    license_link: LICENSE
    license_name: exaone
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • lg-ai
  • exaone
  • exaone-4.0
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-EXAONE-4.0-1.2B-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-EXAONE-4.0-1.2B-abliterated-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 i1-IQ1_S 0.5 for the desperate
GGUF i1-IQ1_M 0.5 mostly desperate
GGUF i1-IQ2_XXS 0.5
GGUF i1-IQ2_XS 0.6
GGUF i1-IQ2_S 0.6
GGUF i1-IQ2_M 0.6
GGUF i1-Q2_K_S 0.6 very low quality
GGUF i1-IQ3_XXS 0.7 lower quality
GGUF i1-Q2_K 0.7 IQ3_XXS probably better
GGUF i1-IQ3_XS 0.7
GGUF i1-Q3_K_S 0.7 IQ3_XS probably better
GGUF i1-IQ3_S 0.7 beats Q3_K*
GGUF i1-IQ3_M 0.8
GGUF i1-Q3_K_M 0.8 IQ3_S probably better
GGUF i1-Q3_K_L 0.8 IQ3_M probably better
GGUF i1-IQ4_XS 0.8
GGUF i1-Q4_0 0.9 fast, low quality
GGUF i1-Q4_K_S 0.9 optimal size/speed/quality
GGUF i1-IQ4_NL 0.9 prefer IQ4_XS
GGUF i1-Q4_K_M 0.9 fast, recommended
GGUF i1-Q4_1 0.9
GGUF i1-Q5_K_S 1.0
GGUF i1-Q5_K_M 1.0
GGUF i1-Q6_K 1.2 practically like static Q6_K

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 2 versions

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

  1. 2025-07-19auto-patch README.md292a2cf6.4 KB
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  2. 2025-07-19uploaded from rich1f9558bd252 B
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