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mradermacher/llama-3.2-1b-abliterated-i1-GGUF

mradermacher Llama 1B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2Fllama-3.2-1b-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 2,184
  • author_summary 3327 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='ops-malware/llama-3.2-1b-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
2K
Likes
0
Model age
2mo ago
created 2026-07-28
Downloads over time
Now4.1K→from519↑699%
3381.7K3.1K4.5K519 on Jul 294.1K on Oct 12JulAugSepOct
Jul 29 → Oct 12 · 52 snapshots · spans 75 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 · 3K downloads combined

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

Metadata

License
llama3.2
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored refusal-removal interpretability senbonzakura en base_model:ElementMerc/llama-3.2-1b-abliterated base_model:quantized:ElementMerc/llama-3.2-1b-abliterated license:llama3.2 endpoints_compatible

Related

Total size
14.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-10-06 01:11

Files by quantization

Q6_K 1 file 974 MB
llama-3.2-1b-abliterated.i1-Q6_K.gguf 974 MB 8dc01b89 download
Q5_K 2 files 1.68 GB
llama-3.2-1b-abliterated.i1-Q5_K_M.gguf 869 MB 459ec087 download
llama-3.2-1b-abliterated.i1-Q5_K_S.gguf 851 MB 99e32ba8 download
Q4 2 files 1.49 GB
llama-3.2-1b-abliterated.i1-Q4_1.gguf 793 MB ad242249 download
llama-3.2-1b-abliterated.i1-Q4_0.gguf 737 MB 350a5e0c download
Q4_K 2 files 1.47 GB
llama-3.2-1b-abliterated.i1-Q4_K_M.gguf 770 MB b45e4393 download
llama-3.2-1b-abliterated.i1-Q4_K_S.gguf 740 MB ece4f209 download
IQ4 2 files 1.41 GB
llama-3.2-1b-abliterated.i1-IQ4_NL.gguf 737 MB d9e16dc8 download
llama-3.2-1b-abliterated.i1-IQ4_XS.gguf 709 MB 1c1027bd download
Q3_K 3 files 1.92 GB
llama-3.2-1b-abliterated.i1-Q3_K_L.gguf 699 MB 6e5926ad download
llama-3.2-1b-abliterated.i1-Q3_K_M.gguf 659 MB 6c2dd53c download
llama-3.2-1b-abliterated.i1-Q3_K_S.gguf 612 MB 7b696d33 download
IQ3 4 files 2.31 GB
llama-3.2-1b-abliterated.i1-IQ3_M.gguf 627 MB 8f3dd552 download
llama-3.2-1b-abliterated.i1-IQ3_S.gguf 614 MB d83837b4 download
llama-3.2-1b-abliterated.i1-IQ3_XS.gguf 592 MB 9924b572 download
llama-3.2-1b-abliterated.i1-IQ3_XXS.gguf 536 MB b86d4b9b download
Q2_K 2 files 1.06 GB
llama-3.2-1b-abliterated.i1-Q2_K.gguf 554 MB 2b2787bc download
llama-3.2-1b-abliterated.i1-Q2_K_S.gguf 529 MB 7a5ecf7d download
IQ2 4 files 1.79 GB
llama-3.2-1b-abliterated.i1-IQ2_M.gguf 492 MB e557f757 download
llama-3.2-1b-abliterated.i1-IQ2_S.gguf 466 MB c285c982 download
llama-3.2-1b-abliterated.i1-IQ2_XS.gguf 454 MB 6a911835 download
llama-3.2-1b-abliterated.i1-IQ2_XXS.gguf 426 MB ff5215c2 download
IQ1 2 files 770 MB
llama-3.2-1b-abliterated.i1-IQ1_M.gguf 394 MB 0173285a download
llama-3.2-1b-abliterated.i1-IQ1_S.gguf 375 MB ee57d2cd download
Auxiliary files 3 files 1.28 MB
llama-3.2-1b-abliterated.imatrix.gguf 1.27 MB ce6d776e download
README.md 6.32 KB 0938e6cf download
.gitattributes 3.33 KB 1873d402 download

README current version from Hugging Face


base_model: ops-malware/llama-3.2-1b-abliterated
language:

  • en
    library_name: transformers
    license: llama3.2
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored
  • refusal-removal
  • interpretability
  • senbonzakura

About

weighted/imatrix quants of https://huggingface.co/ops-malware/llama-3.2-1b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/llama-3.2-1b-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 0.5 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 0.7 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-IQ4_NL 0.9 prefer IQ4_XS
GGUF i1-Q4_0 0.9 fast, low quality
GGUF i1-Q4_K_S 0.9 optimal size/speed/quality
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 1.1 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 4 versions

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

  1. 2026-10-06auto-patch README.md08270ee6.3 KB
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  2. 2026-07-28auto-patch README.mdaad259a6.3 KB
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  3. 2026-07-28auto-patch README.md878a6c52.5 KB
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  4. 2026-07-28uploaded from leiae2b2d9f482 B
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