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mradermacher/aya-expanse-32b-abliterated-i1-GGUF

mradermacher 32B GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 25
  • hub_downloads_all_time 15,980
  • 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/aya-expanse-32b-abliterated' (base is huihui-ai model (M3))
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
16K
615 last 30d - cooling
Likes
7
Model age
22mo ago
created 2024-12-15
Downloads over time
Now16.1K→from606↑2,550%
05.9K11.8K17.6K606 on Dec 11, 202416.1K on Oct 11Dec '24Mar '25Jun '25Sep '25Dec '25MarJunSep
Dec 11, 2024 → Oct 11 · 135 snapshots · spans 669 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 · 980 downloads combined

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

Metadata

Languages
en fr de es it pt ja ko zh ar el fa pl id cs he hi nl ro ru tr uk vi
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored en fr de es it pt ja ko

Related

Total size
313 GB
Files
25
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-12-16 01:00

Files by quantization

Q6_K 1 file 24.7 GB
aya-expanse-32b-abliterated.i1-Q6_K.gguf 24.7 GB c83e1dbc download
Q5_K 2 files 42.4 GB
aya-expanse-32b-abliterated.i1-Q5_K_M.gguf 21.5 GB 559ec162 download
aya-expanse-32b-abliterated.i1-Q5_K_S.gguf 20.9 GB c20e38b8 download
Q4_K 2 files 36.0 GB
aya-expanse-32b-abliterated.i1-Q4_K_M.gguf 18.4 GB 368e4449 download
aya-expanse-32b-abliterated.i1-Q4_K_S.gguf 17.6 GB d6decd53 download
Q4 1 file 17.5 GB
aya-expanse-32b-abliterated.i1-Q4_0.gguf 17.5 GB 1f54d975 download
IQ4 1 file 16.6 GB
aya-expanse-32b-abliterated.i1-IQ4_XS.gguf 16.6 GB da602e04 download
Q3_K 3 files 45.2 GB
aya-expanse-32b-abliterated.i1-Q3_K_L.gguf 16.4 GB b49b2cc6 download
aya-expanse-32b-abliterated.i1-Q3_K_M.gguf 15.1 GB 358e5a2a download
aya-expanse-32b-abliterated.i1-Q3_K_S.gguf 13.7 GB 572abcac download
IQ3 4 files 53.1 GB
aya-expanse-32b-abliterated.i1-IQ3_M.gguf 14.2 GB d13b8cba download
aya-expanse-32b-abliterated.i1-IQ3_S.gguf 13.7 GB 4b9302f6 download
aya-expanse-32b-abliterated.i1-IQ3_XS.gguf 13.1 GB c873ee36 download
aya-expanse-32b-abliterated.i1-IQ3_XXS.gguf 12.1 GB f6caf365 download
Q2_K 2 files 23.1 GB
aya-expanse-32b-abliterated.i1-Q2_K.gguf 11.9 GB 53cb8682 download
aya-expanse-32b-abliterated.i1-Q2_K_S.gguf 11.1 GB 85c72ee5 download
IQ2 4 files 39.2 GB
aya-expanse-32b-abliterated.i1-IQ2_M.gguf 10.8 GB cb250635 download
aya-expanse-32b-abliterated.i1-IQ2_S.gguf 10.1 GB c557183c download
aya-expanse-32b-abliterated.i1-IQ2_XS.gguf 9.61 GB 3919c72d download
aya-expanse-32b-abliterated.i1-IQ2_XXS.gguf 8.77 GB 5ae91fb9 download
IQ1 2 files 15.1 GB
aya-expanse-32b-abliterated.i1-IQ1_M.gguf 7.81 GB 2bd0b769 download
aya-expanse-32b-abliterated.i1-IQ1_S.gguf 7.24 GB 20ecf294 download
Auxiliary files 3 files 11.3 MB
imatrix.dat 11.3 MB 5503e17e download
README.md 6.17 KB 5b0b50d2 download
.gitattributes 3.22 KB 90dc9779 download

README current version from Hugging Face


base_model: huihui-ai/aya-expanse-32b-abliterated
extra_gated_fields:
Affiliation: text
Country: country
I agree to use this model for non-commercial use ONLY: checkbox
Name: text
extra_gated_prompt: By submitting this form, you agree to the License Agreement and
acknowledge that the information you provide will be collected, used, and shared
in accordance with Cohere’s Privacy Policy. You’ll
receive email updates about C4AI and Cohere research, events, products and services.
You can unsubscribe at any time.
language:

  • en
  • fr
  • de
  • es
  • it
  • pt
  • ja
  • ko
  • zh
  • ar
  • el
  • fa
  • pl
  • id
  • cs
  • he
  • hi
  • nl
  • ro
  • ru
  • tr
  • uk
  • vi
    library_name: transformers
    license: cc-by-nc-4.0
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/aya-expanse-32b-abliterated

static quants are available at https://huggingface.co/mradermacher/aya-expanse-32b-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 7.9 for the desperate
GGUF i1-IQ1_M 8.5 mostly desperate
GGUF i1-IQ2_XXS 9.5
GGUF i1-IQ2_XS 10.4
GGUF i1-IQ2_S 10.9
GGUF i1-IQ2_M 11.7
GGUF i1-Q2_K_S 12.1 very low quality
GGUF i1-Q2_K 12.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 13.1 lower quality
GGUF i1-IQ3_XS 14.1
GGUF i1-Q3_K_S 14.8 IQ3_XS probably better
GGUF i1-IQ3_S 14.9 beats Q3_K*
GGUF i1-IQ3_M 15.3
GGUF i1-Q3_K_M 16.3 IQ3_S probably better
GGUF i1-Q3_K_L 17.7 IQ3_M probably better
GGUF i1-IQ4_XS 17.9
GGUF i1-Q4_0 18.9 fast, low quality
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 19.9 fast, recommended
GGUF i1-Q5_K_S 22.6
GGUF i1-Q5_K_M 23.2
GGUF i1-Q6_K 26.6 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. 2024-12-16auto-patch README.mdd8c41996.2 KB
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  2. 2024-12-15auto-patch README.mdc7294dd5.3 KB
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  3. 2024-12-15uploaded from kaosfeb14d3245 B
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