← back to catalog · registered 2026-08-22 13:56

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

mradermacher 1.2B GGUF second-order 66K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,092
  • 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 direct removal 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='addansee2/EXAONE-4.0-1.2B-abliterated' (base has 'abliterated' marker, assume M1 default)
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
3K
366 last 30d - stable
Likes
0
Model age
3mo ago
created 2026-07-06
Downloads over time
Now3.2K→from2.2K↑45%
2.1K2.5K2.9K3.3K2.2K on Jul 153.2K on Oct 11JulAugSepOct
Jul 15 → Oct 11 · 53 snapshots · spans 88 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 · 604 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf uncensored decensored abliterated en base_model:addansee2/EXAONE-4.0-1.2B-abliterated base_model:quantized:addansee2/EXAONE-4.0-1.2B-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
17.1 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-06 08:12

Files by quantization

Q6_K 1 file 1.14 GB
EXAONE-4.0-1.2B-abliterated.i1-Q6_K.gguf 1.14 GB 3e279367 download
Q5_K 2 files 1.98 GB
EXAONE-4.0-1.2B-abliterated.i1-Q5_K_M.gguf 1.00 GB 82f0aa5f download
EXAONE-4.0-1.2B-abliterated.i1-Q5_K_S.gguf 1007 MB 412d9b3d download
Q4 2 files 1.75 GB
EXAONE-4.0-1.2B-abliterated.i1-Q4_1.gguf 931 MB 006cee3f download
EXAONE-4.0-1.2B-abliterated.i1-Q4_0.gguf 856 MB f639ce2e download
Q4_K 2 files 1.70 GB
EXAONE-4.0-1.2B-abliterated.i1-Q4_K_M.gguf 887 MB 9b721a71 download
EXAONE-4.0-1.2B-abliterated.i1-Q4_K_S.gguf 858 MB 716a7ce3 download
IQ4 2 files 1.64 GB
EXAONE-4.0-1.2B-abliterated.i1-IQ4_NL.gguf 859 MB 8e0c0262 download
EXAONE-4.0-1.2B-abliterated.i1-IQ4_XS.gguf 821 MB b033ff1c download
Q3_K 3 files 2.18 GB
EXAONE-4.0-1.2B-abliterated.i1-Q3_K_L.gguf 793 MB af6e3c22 download
EXAONE-4.0-1.2B-abliterated.i1-Q3_K_M.gguf 746 MB 4cca77eb download
EXAONE-4.0-1.2B-abliterated.i1-Q3_K_S.gguf 693 MB f301ffc7 download
IQ3 4 files 2.64 GB
EXAONE-4.0-1.2B-abliterated.i1-IQ3_M.gguf 716 MB 50709e9b download
EXAONE-4.0-1.2B-abliterated.i1-IQ3_S.gguf 697 MB cdae5b7e download
EXAONE-4.0-1.2B-abliterated.i1-IQ3_XS.gguf 672 MB 50c38913 download
EXAONE-4.0-1.2B-abliterated.i1-IQ3_XXS.gguf 620 MB 70061eb6 download
Q2_K 2 files 1.17 GB
EXAONE-4.0-1.2B-abliterated.i1-Q2_K.gguf 612 MB 8e111b9a download
EXAONE-4.0-1.2B-abliterated.i1-Q2_K_S.gguf 582 MB e1656c46 download
IQ2 4 files 2.07 GB
EXAONE-4.0-1.2B-abliterated.i1-IQ2_M.gguf 578 MB f5a04f60 download
EXAONE-4.0-1.2B-abliterated.i1-IQ2_S.gguf 551 MB 5cc9fe03 download
EXAONE-4.0-1.2B-abliterated.i1-IQ2_XS.gguf 512 MB 1e5c22e1 download
EXAONE-4.0-1.2B-abliterated.i1-IQ2_XXS.gguf 481 MB 12d2f170 download
IQ1 2 files 877 MB
EXAONE-4.0-1.2B-abliterated.i1-IQ1_M.gguf 448 MB f00cae77 download
EXAONE-4.0-1.2B-abliterated.i1-IQ1_S.gguf 429 MB 7d49b6ab download
Auxiliary files 3 files 1.92 MB
EXAONE-4.0-1.2B-abliterated.imatrix.gguf 1.91 MB 963b8814 download
README.md 6.42 KB 49de178a download
.gitattributes 3.40 KB ce3f3fa8 download

README current version from Hugging Face


base_model: addansee2/EXAONE-4.0-1.2B-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • uncensored
  • decensored
  • abliterated

About

weighted/imatrix quants of https://huggingface.co/addansee2/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/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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 0.5 for the desperate
GGUF i1-IQ1_M 0.6 mostly desperate
GGUF i1-IQ2_XXS 0.6
GGUF i1-IQ2_XS 0.6
GGUF i1-IQ2_S 0.7
GGUF i1-IQ2_M 0.7
GGUF i1-Q2_K_S 0.7 very low quality
GGUF i1-Q2_K 0.7 IQ3_XXS probably better
GGUF i1-IQ3_XXS 0.8 lower quality
GGUF i1-IQ3_XS 0.8
GGUF i1-Q3_K_S 0.8 IQ3_XS probably better
GGUF i1-IQ3_S 0.8 beats Q3_K*
GGUF i1-IQ3_M 0.9
GGUF i1-Q3_K_M 0.9 IQ3_S probably better
GGUF i1-Q3_K_L 0.9 IQ3_M probably better
GGUF i1-IQ4_XS 1.0
GGUF i1-Q4_0 1.0 fast, low quality
GGUF i1-Q4_K_S 1.0 optimal size/speed/quality
GGUF i1-IQ4_NL 1.0 prefer IQ4_XS
GGUF i1-Q4_K_M 1.0 fast, recommended
GGUF i1-Q4_1 1.1
GGUF i1-Q5_K_S 1.2
GGUF i1-Q5_K_M 1.2
GGUF i1-Q6_K 1.3 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 3 versions

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

  1. 2026-07-06auto-patch README.md2c3ceb56.4 KB
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  2. 2026-07-06auto-patch README.mdfe88dda2.4 KB
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  3. 2026-07-06uploaded from back5325044483 B
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