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mradermacher/A.X-4.0-abliterated-i1-GGUF

mradermacher GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 29
  • hub_downloads_all_time 2,974
  • 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='nicoboss/A.X-4.0-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.

What is a refusal direction? →
Downloads · lifetime
3K
428 last 30d - stable
Likes
0
Model age
14mo ago
created 2025-08-03
Downloads over time
Now3.1K→from285↑997%
1431.2K2.3K3.4K285 on Aug 6, 20253.1K on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 6, 2025 → Oct 11 · 101 snapshots · spans 431 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 · 653 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
Tags
transformers gguf en base_model:nicoboss/A.X-4.0-abliterated base_model:quantized:nicoboss/A.X-4.0-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
624 GB
Files
29
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-12-25 02:48

Files by quantization

Q4_K 2 files 84.0 GB
A.X-4.0-abliterated.i1-Q4_K_M.gguf 43.6 GB 312b6ad8 download
A.X-4.0-abliterated.i1-Q4_K_S.gguf 40.4 GB 257dc177 download
Q4 2 files 80.0 GB
A.X-4.0-abliterated.i1-Q4_1.gguf 42.0 GB 92bef2f8 download
A.X-4.0-abliterated.i1-Q4_0.gguf 38.0 GB 26322dd7 download
IQ4 1 file 36.5 GB
A.X-4.0-abliterated.i1-IQ4_XS.gguf 36.5 GB 4ffea57d download
Q3_K 3 files 103 GB
A.X-4.0-abliterated.i1-Q3_K_L.gguf 36.3 GB 7261dd09 download
A.X-4.0-abliterated.i1-Q3_K_M.gguf 34.6 GB 9255e3a4 download
A.X-4.0-abliterated.i1-Q3_K_S.gguf 31.6 GB 18f3cbf5 download
IQ3 4 files 124 GB
A.X-4.0-abliterated.i1-IQ3_M.gguf 32.6 GB b444d443 download
A.X-4.0-abliterated.i1-IQ3_S.gguf 31.6 GB 3df528f4 download
A.X-4.0-abliterated.i1-IQ3_XS.gguf 30.1 GB 27202832 download
A.X-4.0-abliterated.i1-IQ3_XXS.gguf 29.2 GB 144b520e download
Q2_K 2 files 54.4 GB
A.X-4.0-abliterated.i1-Q2_K.gguf 27.3 GB 70406bd7 download
A.X-4.0-abliterated.i1-Q2_K_S.gguf 27.1 GB 8eba767c download
IQ2 4 files 101 GB
A.X-4.0-abliterated.i1-IQ2_M.gguf 26.9 GB 983d2e4b download
A.X-4.0-abliterated.i1-IQ2_S.gguf 25.6 GB a7d9e2d2 download
A.X-4.0-abliterated.i1-IQ2_XS.gguf 24.8 GB 65d73b29 download
A.X-4.0-abliterated.i1-IQ2_XXS.gguf 23.4 GB 4d28a782 download
IQ1 2 files 42.5 GB
A.X-4.0-abliterated.i1-IQ1_M.gguf 21.7 GB 894748d6 download
A.X-4.0-abliterated.i1-IQ1_S.gguf 20.7 GB 8b1a2853 download
Auxiliary files 9 files 157 GB
A.X-4.0-abliterated.imatrix.gguf 24.1 MB f7c1f150 download
A.X-4.0-abliterated.i1-Q6_K.gguf.part1of2 30.0 GB 9a81ce83 download
A.X-4.0-abliterated.i1-Q6_K.gguf.part2of2 29.3 GB 3fe643e2 download
A.X-4.0-abliterated.i1-Q5_K_M.gguf.part1of2 26.0 GB 7f616d44 download
A.X-4.0-abliterated.i1-Q5_K_M.gguf.part2of2 24.1 GB 89a74420 download
A.X-4.0-abliterated.i1-Q5_K_S.gguf.part1of2 24.0 GB 463ff9aa download
A.X-4.0-abliterated.i1-Q5_K_S.gguf.part2of2 23.3 GB a76d514b download
README.md 6.23 KB 60a2f5a1 download
.gitattributes 3.39 KB 6636ce26 download

README current version from Hugging Face


base_model: nicoboss/A.X-4.0-abliterated
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/nicoboss/A.X-4.0-abliterated

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/A.X-4.0-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 22.4 for the desperate
GGUF i1-IQ1_M 23.4 mostly desperate
GGUF i1-IQ2_XXS 25.2
GGUF i1-IQ2_XS 26.7
GGUF i1-IQ2_S 27.6
GGUF i1-IQ2_M 29.0
GGUF i1-Q2_K_S 29.2 very low quality
GGUF i1-Q2_K 29.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 31.5 lower quality
GGUF i1-IQ3_XS 32.4
GGUF i1-IQ3_S 34.1 beats Q3_K*
GGUF i1-Q3_K_S 34.1 IQ3_XS probably better
GGUF i1-IQ3_M 35.1
GGUF i1-Q3_K_M 37.3 IQ3_S probably better
GGUF i1-Q3_K_L 39.1 IQ3_M probably better
GGUF i1-IQ4_XS 39.3
GGUF i1-Q4_0 40.9 fast, low quality
GGUF i1-Q4_K_S 43.4 optimal size/speed/quality
GGUF i1-Q4_1 45.2
GGUF i1-Q4_K_M 47.0 fast, recommended
PART 1 PART 2 i1-Q5_K_S 50.9
PART 1 PART 2 i1-Q5_K_M 53.9
PART 1 PART 2 i1-Q6_K 63.8 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. 2025-12-25auto-patch README.mdec47d216.2 KB
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  2. 2025-08-03auto-patch README.md2d757876.2 KB
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  3. 2025-08-03uploaded from nico17342823473 B
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