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mradermacher/aya-expanse-8b-abliterated-i1-GGUF

mradermacher 8B GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 15,933
  • 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='lenML/aya-expanse-8b-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
16K
1K last 30d - cooling
Likes
2
Model age
23mo ago
created 2024-11-14
Downloads over time
Now16.2K→from674↑2,308%
05.9K11.9K17.8K674 on Nov 13, 202416.2K on Oct 11Nov '24Feb '25May '25Aug '25Nov '25FebMayAug
Nov 13, 2024 → Oct 11 · 139 snapshots · spans 697 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 · 2K 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 CohereForAI en fr de es it pt ja ko zh

Related

Total size
92.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-11-14 03:00

Files by quantization

Q6_K 1 file 6.14 GB
aya-expanse-8b-abliterated.i1-Q6_K.gguf 6.14 GB 8d555b12 download
Q5_K 2 files 10.7 GB
aya-expanse-8b-abliterated.i1-Q5_K_M.gguf 5.40 GB 90b549fc download
aya-expanse-8b-abliterated.i1-Q5_K_S.gguf 5.28 GB 9918900a download
Q4_K 2 files 9.21 GB
aya-expanse-8b-abliterated.i1-Q4_K_M.gguf 4.71 GB 8ac2ffde download
aya-expanse-8b-abliterated.i1-Q4_K_S.gguf 4.50 GB d6a2cff3 download
Q4 4 files 17.9 GB
aya-expanse-8b-abliterated.i1-Q4_0.gguf 4.48 GB c1947a55 download
aya-expanse-8b-abliterated.i1-Q4_0_4_4.gguf 4.47 GB 98e5a24c download
aya-expanse-8b-abliterated.i1-Q4_0_4_8.gguf 4.47 GB e5bbb8b6 download
aya-expanse-8b-abliterated.i1-Q4_0_8_8.gguf 4.47 GB 3429ad1b download
IQ4 1 file 4.28 GB
aya-expanse-8b-abliterated.i1-IQ4_XS.gguf 4.28 GB a26498a5 download
Q3_K 3 files 11.8 GB
aya-expanse-8b-abliterated.i1-Q3_K_L.gguf 4.22 GB db7b3137 download
aya-expanse-8b-abliterated.i1-Q3_K_M.gguf 3.93 GB 305a8802 download
aya-expanse-8b-abliterated.i1-Q3_K_S.gguf 3.60 GB c48ae3b3 download
IQ3 4 files 14.0 GB
aya-expanse-8b-abliterated.i1-IQ3_M.gguf 3.72 GB d132a55f download
aya-expanse-8b-abliterated.i1-IQ3_S.gguf 3.62 GB 1f9ef9a8 download
aya-expanse-8b-abliterated.i1-IQ3_XS.gguf 3.47 GB 2f002a34 download
aya-expanse-8b-abliterated.i1-IQ3_XXS.gguf 3.18 GB bd9a3e7c download
Q2_K 1 file 3.20 GB
aya-expanse-8b-abliterated.i1-Q2_K.gguf 3.20 GB 0e528717 download
IQ2 4 files 10.6 GB
aya-expanse-8b-abliterated.i1-IQ2_M.gguf 2.87 GB ec8e6528 download
aya-expanse-8b-abliterated.i1-IQ2_S.gguf 2.70 GB dd9d0c79 download
aya-expanse-8b-abliterated.i1-IQ2_XS.gguf 2.60 GB 8dd2a462 download
aya-expanse-8b-abliterated.i1-IQ2_XXS.gguf 2.41 GB 5dd407eb download
IQ1 2 files 4.25 GB
aya-expanse-8b-abliterated.i1-IQ1_M.gguf 2.19 GB 0829e98a download
aya-expanse-8b-abliterated.i1-IQ1_S.gguf 2.06 GB b69cecbc download
Auxiliary files 3 files 4.77 MB
imatrix.dat 4.76 MB a4263ce8 download
README.md 5.93 KB a6d24d84 download
.gitattributes 3.35 KB 1358320b download

README current version from Hugging Face


base_model: lenML/aya-expanse-8b-abliterated
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:
  • gguf
  • CohereForAI

About

weighted/imatrix quants of https://huggingface.co/lenML/aya-expanse-8b-abliterated

static quants are available at https://huggingface.co/mradermacher/aya-expanse-8b-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 2.3 for the desperate
GGUF i1-IQ1_M 2.5 mostly desperate
GGUF i1-IQ2_XXS 2.7
GGUF i1-IQ2_XS 2.9
GGUF i1-IQ2_S 3.0
GGUF i1-IQ2_M 3.2
GGUF i1-IQ3_XXS 3.5 lower quality
GGUF i1-Q2_K 3.5 IQ3_XXS probably better
GGUF i1-IQ3_XS 3.8
GGUF i1-Q3_K_S 4.0 IQ3_XS probably better
GGUF i1-IQ3_S 4.0 beats Q3_K*
GGUF i1-IQ3_M 4.1
GGUF i1-Q3_K_M 4.3 IQ3_S probably better
GGUF i1-Q3_K_L 4.6 IQ3_M probably better
GGUF i1-IQ4_XS 4.7
GGUF i1-Q4_0_4_4 4.9 fast on arm, low quality
GGUF i1-Q4_0_4_8 4.9 fast on arm+i8mm, low quality
GGUF i1-Q4_0_8_8 4.9 fast on arm+sve, low quality
GGUF i1-Q4_0 4.9 fast, low quality
GGUF i1-Q4_K_S 4.9 optimal size/speed/quality
GGUF i1-Q4_K_M 5.2 fast, recommended
GGUF i1-Q5_K_S 5.8
GGUF i1-Q5_K_M 5.9
GGUF i1-Q6_K 6.7 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. 2024-11-14auto-patch README.md4ef25de5.9 KB
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  2. 2024-11-14uploaded from nethype/db37475209240 B
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