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mradermacher/Muse-Glimmer-30B-Abliterated-i1-GGUF

mradermacher 30B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 10,490
  • author_summary 3328 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='jorkle/Muse-Glimmer-30B-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.

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Downloads · lifetime
10K
772 last 30d - cooling
Likes
0
Model age
2mo ago
created 2026-08-13
Downloads over time
Now10.7K→from8.6K↑25%
8.5K9.3K10.1K10.9K8.6K on Aug 1910.7K on Oct 12AugSepOct
Aug 19 → Oct 12 · 49 snapshots · spans 54 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 4 formats · 3K downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated muse-glimmer lora de-refusal en base_model:jorkle/Muse-Glimmer-30B-Abliterated base_model:adapter:jorkle/Muse-Glimmer-30B-Abliterated license:apache-2.0 endpoints_compatible region:us

Related

Total size
283 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-13 17:00

Files by quantization

Q6_K 1 file 21.3 GB
Muse-Glimmer-30B-Abliterated.i1-Q6_K.gguf 21.3 GB e40a8f30 download
Q5_K 2 files 36.5 GB
Muse-Glimmer-30B-Abliterated.i1-Q5_K_M.gguf 18.5 GB 2d36d2bc download
Muse-Glimmer-30B-Abliterated.i1-Q5_K_S.gguf 18.0 GB 8e80980d download
Q4 2 files 31.5 GB
Muse-Glimmer-30B-Abliterated.i1-Q4_1.gguf 16.5 GB 62dc3e08 download
Muse-Glimmer-30B-Abliterated.i1-Q4_0.gguf 15.0 GB 7500a591 download
Q4_K 2 files 30.8 GB
Muse-Glimmer-30B-Abliterated.i1-Q4_K_M.gguf 15.8 GB 8efc3f28 download
Muse-Glimmer-30B-Abliterated.i1-Q4_K_S.gguf 15.0 GB 80faaa1f download
IQ4 1 file 14.2 GB
Muse-Glimmer-30B-Abliterated.i1-IQ4_XS.gguf 14.2 GB 95fe6711 download
Q3_K 3 files 38.1 GB
Muse-Glimmer-30B-Abliterated.i1-Q3_K_L.gguf 13.7 GB 8523c627 download
Muse-Glimmer-30B-Abliterated.i1-Q3_K_M.gguf 12.7 GB 29f78c90 download
Muse-Glimmer-30B-Abliterated.i1-Q3_K_S.gguf 11.7 GB dd48411e download
IQ3 4 files 45.1 GB
Muse-Glimmer-30B-Abliterated.i1-IQ3_M.gguf 11.9 GB 886f5faf download
Muse-Glimmer-30B-Abliterated.i1-IQ3_S.gguf 11.7 GB bde775cc download
Muse-Glimmer-30B-Abliterated.i1-IQ3_XS.gguf 11.1 GB 2a052c46 download
Muse-Glimmer-30B-Abliterated.i1-IQ3_XXS.gguf 10.4 GB 031773d9 download
Q2_K 2 files 19.3 GB
Muse-Glimmer-30B-Abliterated.i1-Q2_K.gguf 9.95 GB de28a4e2 download
Muse-Glimmer-30B-Abliterated.i1-Q2_K_S.gguf 9.34 GB bb8b0e6d download
IQ2 4 files 33.2 GB
Muse-Glimmer-30B-Abliterated.i1-IQ2_M.gguf 9.17 GB 8af7e609 download
Muse-Glimmer-30B-Abliterated.i1-IQ2_S.gguf 8.50 GB eef98879 download
Muse-Glimmer-30B-Abliterated.i1-IQ2_XS.gguf 8.12 GB 34e28714 download
Muse-Glimmer-30B-Abliterated.i1-IQ2_XXS.gguf 7.41 GB aaea222e download
IQ1 2 files 12.7 GB
Muse-Glimmer-30B-Abliterated.i1-IQ1_M.gguf 6.58 GB 1d624c27 download
Muse-Glimmer-30B-Abliterated.i1-IQ1_S.gguf 6.08 GB 06fa8ae3 download
Auxiliary files 3 files 12.8 MB
Muse-Glimmer-30B-Abliterated.imatrix.gguf 12.8 MB 5f4c6c20 download
README.md 6.49 KB f7536b55 download
.gitattributes 3.34 KB d41fdc60 download

README current version from Hugging Face


base_model: jorkle/Muse-Glimmer-30B-Abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • muse-glimmer
  • lora
  • de-refusal

About

weighted/imatrix quants of https://huggingface.co/jorkle/Muse-Glimmer-30B-Abliterated

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

static quants are available at https://huggingface.co/mradermacher/Muse-Glimmer-30B-Abliterated-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 6.6 for the desperate
GGUF i1-IQ1_M 7.2 mostly desperate
GGUF i1-IQ2_XXS 8.1
GGUF i1-IQ2_XS 8.8
GGUF i1-IQ2_S 9.2
GGUF i1-IQ2_M 9.9
GGUF i1-Q2_K_S 10.1 very low quality
GGUF i1-Q2_K 10.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 11.2 lower quality
GGUF i1-IQ3_XS 12.1
GGUF i1-Q3_K_S 12.6 IQ3_XS probably better
GGUF i1-IQ3_S 12.6 beats Q3_K*
GGUF i1-IQ3_M 12.9
GGUF i1-Q3_K_M 13.8 IQ3_S probably better
GGUF i1-Q3_K_L 14.8 IQ3_M probably better
GGUF i1-IQ4_XS 15.3
GGUF i1-Q4_0 16.2 fast, low quality
GGUF i1-Q4_K_S 16.2 optimal size/speed/quality
GGUF i1-Q4_K_M 17.0 fast, recommended
GGUF i1-Q4_1 17.8
GGUF i1-Q5_K_S 19.4
GGUF i1-Q5_K_M 19.9
GGUF i1-Q6_K 23.0 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 6 versions

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

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  3. 2026-08-13auto-patch README.md25a1b015.2 KB
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  4. 2026-08-13auto-patch README.md52e9ba04.7 KB
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  5. 2026-08-13auto-patch README.md695b9403.3 KB
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  6. 2026-08-13uploaded from nico1b1dd44c481 B
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