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mradermacher/Astral-Cydonia-22B_abliterated-i1-GGUF

mradermacher GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 3,702
  • 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='SzilviaB/SzilviaB_Astral-Cydonia-22B_abliterated_broken_but_in_a_nice_way' (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
4K
120 last 30d - cooling
Likes
0
Model age
2.0y ago
created 2024-09-30
Downloads over time
Now3.8K→from431↑772%
01.4K2.8K4.1K431 on Sep 25, 20243.8K on Oct 11Sep '24Jan '25May '25Sep '25JanMaySep
Sep 25, 2024 → Oct 11 · 146 snapshots · spans 746 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 · 227 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 mergekit merge en base_model:SzilviaB/SzilviaB_Astral-Cydonia-22B_abliterated_broken_but_in_a_nice_way base_model:quantized:SzilviaB/SzilviaB_Astral-Cydonia-22B_abliterated_broken_but_in_a_nice_way endpoints_compatible region:us imatrix

Related

Total size
200 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-12-16 00:29

Files by quantization

Q6_K 1 file 17.0 GB
Astral-Cydonia-22B_abliterated.i1-Q6_K.gguf 17.0 GB 91eaed5f download
Q5_K 2 files 28.9 GB
Astral-Cydonia-22B_abliterated.i1-Q5_K_M.gguf 14.6 GB 141f7bf1 download
Astral-Cydonia-22B_abliterated.i1-Q5_K_S.gguf 14.3 GB 6adfbf07 download
Q4_K 2 files 24.2 GB
Astral-Cydonia-22B_abliterated.i1-Q4_K_M.gguf 12.4 GB d09f049d download
Astral-Cydonia-22B_abliterated.i1-Q4_K_S.gguf 11.8 GB ccb93d29 download
Q4 1 file 11.7 GB
Astral-Cydonia-22B_abliterated.i1-Q4_0.gguf 11.7 GB ac7c2533 download
IQ4 1 file 11.1 GB
Astral-Cydonia-22B_abliterated.i1-IQ4_XS.gguf 11.1 GB e752e656 download
Q3_K 3 files 29.9 GB
Astral-Cydonia-22B_abliterated.i1-Q3_K_L.gguf 10.9 GB 2feaf3ca download
Astral-Cydonia-22B_abliterated.i1-Q3_K_M.gguf 10.0 GB b8504896 download
Astral-Cydonia-22B_abliterated.i1-Q3_K_S.gguf 8.98 GB 160198be download
IQ3 4 files 34.9 GB
Astral-Cydonia-22B_abliterated.i1-IQ3_M.gguf 9.37 GB bc59d067 download
Astral-Cydonia-22B_abliterated.i1-IQ3_S.gguf 9.02 GB d739b1a2 download
Astral-Cydonia-22B_abliterated.i1-IQ3_XS.gguf 8.55 GB c3f25b0f download
Astral-Cydonia-22B_abliterated.i1-IQ3_XXS.gguf 8.01 GB 022b2fa2 download
Q2_K 1 file 7.70 GB
Astral-Cydonia-22B_abliterated.i1-Q2_K.gguf 7.70 GB bf66e722 download
IQ2 4 files 25.4 GB
Astral-Cydonia-22B_abliterated.i1-IQ2_M.gguf 7.10 GB d310698d download
Astral-Cydonia-22B_abliterated.i1-IQ2_S.gguf 6.55 GB 5dde676c download
Astral-Cydonia-22B_abliterated.i1-IQ2_XS.gguf 6.19 GB 4577fb84 download
Astral-Cydonia-22B_abliterated.i1-IQ2_XXS.gguf 5.58 GB 9136c32d download
IQ1 2 files 9.40 GB
Astral-Cydonia-22B_abliterated.i1-IQ1_M.gguf 4.91 GB 33716a1a download
Astral-Cydonia-22B_abliterated.i1-IQ1_S.gguf 4.50 GB c062fc8a download
Auxiliary files 3 files 11.4 MB
imatrix.dat 11.4 MB f0937ae4 download
README.md 5.50 KB f9c77d17 download
.gitattributes 3.20 KB cf17dfb5 download

README current version from Hugging Face


base_model: SzilviaB/SzilviaB_Astral-Cydonia-22B_abliterated_broken_but_in_a_nice_way
language:

  • en
    library_name: transformers
    quantized_by: mradermacher
    tags:
  • mergekit
  • merge

About

weighted/imatrix quants of https://huggingface.co/SzilviaB/SzilviaB_Astral-Cydonia-22B_abliterated_broken_but_in_a_nice_way

static quants are available at https://huggingface.co/mradermacher/Astral-Cydonia-22B_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 4.9 for the desperate
GGUF i1-IQ1_M 5.4 mostly desperate
GGUF i1-IQ2_XXS 6.1
GGUF i1-IQ2_XS 6.7
GGUF i1-IQ2_S 7.1
GGUF i1-IQ2_M 7.7
GGUF i1-Q2_K 8.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 8.7 lower quality
GGUF i1-IQ3_XS 9.3
GGUF i1-Q3_K_S 9.7 IQ3_XS probably better
GGUF i1-IQ3_S 9.8 beats Q3_K*
GGUF i1-IQ3_M 10.2
GGUF i1-Q3_K_M 10.9 IQ3_S probably better
GGUF i1-Q3_K_L 11.8 IQ3_M probably better
GGUF i1-IQ4_XS 12.0
GGUF i1-Q4_0 12.7 fast, low quality
GGUF i1-Q4_K_S 12.8 optimal size/speed/quality
GGUF i1-Q4_K_M 13.4 fast, recommended
GGUF i1-Q5_K_S 15.4
GGUF i1-Q5_K_M 15.8
GGUF i1-Q6_K 18.4 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.md4c943575.5 KB
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  2. 2024-09-30auto-patch README.md9cacd465.4 KB
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  3. 2024-09-30uploaded from nethype/db36d67ed4247 B
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