← back to catalog · registered 2026-08-22 13:56

mradermacher/Super-Slop-Machina-v2-1.2b-abliterated-i1-GGUF

mradermacher 1.2B GGUF second-order 128K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 1,976
  • 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='dummy9996/Super-Slop-Machina-v2-1.2b-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
512 last 30d - stable
Likes
0
Model age
2mo ago
created 2026-07-28
Downloads over time
Now2.1K→from0↑0%
07581.5K2.3K0 on Jul 292.1K on Oct 11JulAugSepOct
Jul 29 → Oct 11 · 51 snapshots · spans 74 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 · 694 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 en base_model:dummy9996/Super-Slop-Machina-v2-1.2b-abliterated base_model:quantized:dummy9996/Super-Slop-Machina-v2-1.2b-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
13.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-28 18:33

Files by quantization

Q6_K 1 file 918 MB
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q6_K.gguf 918 MB b7a8a859 download
Q5_K 2 files 1.55 GB
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q5_K_M.gguf 804 MB 31c5f69f download
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q5_K_S.gguf 787 MB d08be464 download
Q4 2 files 1.36 GB
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q4_1.gguf 725 MB d23d8322 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q4_0.gguf 666 MB 56dcc59f download
Q4_K 2 files 1.33 GB
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q4_K_M.gguf 697 MB f958048d download
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q4_K_S.gguf 668 MB 5770c7b5 download
IQ4 2 files 1.27 GB
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ4_NL.gguf 664 MB 95bc22a5 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ4_XS.gguf 633 MB 2777c8b8 download
Q3_K 3 files 1.67 GB
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q3_K_L.gguf 606 MB bda42ba1 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q3_K_M.gguf 573 MB 2ee12b19 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q3_K_S.gguf 532 MB 7be64b25 download
IQ3 4 files 2.01 GB
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ3_M.gguf 541 MB cfb7403b download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ3_S.gguf 532 MB 928906e2 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ3_XS.gguf 513 MB 750bd16d download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ3_XXS.gguf 468 MB addaaf17 download
Q2_K 2 files 900 MB
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q2_K.gguf 461 MB 639b30f8 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-Q2_K_S.gguf 439 MB 6b820ec8 download
IQ2 4 files 1.49 GB
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ2_M.gguf 414 MB fbc799c4 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ2_S.gguf 385 MB 4bd0ecd5 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ2_XS.gguf 378 MB aa36179a download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ2_XXS.gguf 348 MB 2ef3535d download
IQ1 2 files 602 MB
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ1_M.gguf 312 MB dea3c051 download
Super-Slop-Machina-v2-1.2b-abliterated.i1-IQ1_S.gguf 290 MB 478955ab download
Auxiliary files 3 files 1.12 MB
Super-Slop-Machina-v2-1.2b-abliterated.imatrix.gguf 1.11 MB 541feeab download
README.md 6.95 KB 00500651 download
.gitattributes 3.67 KB 972f1377 download

README current version from Hugging Face


base_model: dummy9996/Super-Slop-Machina-v2-1.2b-abliterated
language:

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

About

weighted/imatrix quants of https://huggingface.co/dummy9996/Super-Slop-Machina-v2-1.2b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Super-Slop-Machina-v2-1.2b-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 0.4 for the desperate
GGUF i1-IQ1_M 0.4 mostly desperate
GGUF i1-IQ2_XXS 0.5
GGUF i1-IQ2_XS 0.5
GGUF i1-IQ2_S 0.5
GGUF i1-IQ2_M 0.5
GGUF i1-Q2_K_S 0.6 very low quality
GGUF i1-Q2_K 0.6 IQ3_XXS probably better
GGUF i1-IQ3_XXS 0.6 lower quality
GGUF i1-IQ3_XS 0.6
GGUF i1-IQ3_S 0.7 beats Q3_K*
GGUF i1-Q3_K_S 0.7 IQ3_XS probably better
GGUF i1-IQ3_M 0.7
GGUF i1-Q3_K_M 0.7 IQ3_S probably better
GGUF i1-Q3_K_L 0.7 IQ3_M probably better
GGUF i1-IQ4_XS 0.8
GGUF i1-IQ4_NL 0.8 prefer IQ4_XS
GGUF i1-Q4_0 0.8 fast, low quality
GGUF i1-Q4_K_S 0.8 optimal size/speed/quality
GGUF i1-Q4_K_M 0.8 fast, recommended
GGUF i1-Q4_1 0.9
GGUF i1-Q5_K_S 0.9
GGUF i1-Q5_K_M 0.9
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 3 versions

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

  1. 2026-07-28auto-patch README.mde55ed807 KB
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  2. 2026-07-28auto-patch README.mdb1076312.4 KB
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  3. 2026-07-28uploaded from leia38d3b3d494 B
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