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mradermacher/Muse-Glimmer-30B-Abliterated-BF16-i1-GGUF

mradermacher 30B GGUF multimodal second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 3,578
  • 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='Blackfrost-AI/Muse-Glimmer-30B-Abliterated-BF16' (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
1K last 30d - stable
Likes
4
Model age
2mo ago
created 2026-08-12
Downloads over time
Now3.9K→from0↑0%
01.4K2.9K4.3K0 on Aug 123.9K on Oct 11AugSepOct
Aug 12 → Oct 11 · 49 snapshots · spans 60 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 · 4K 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 multilingual
Quantizations
BF16
Tags
transformers gguf muse-glimmer muse_glimmer abliterated derisked bf16 multimodal conversational research security red-teaming

Related

Total size
283 GB
Files
26
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-08-12 10:00

Files by quantization

BF16 24 files 283 GB
Muse-Glimmer-30B-Abliterated-BF16.i1-Q6_K.gguf 21.3 GB 65ea932a download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q5_K_M.gguf 18.5 GB 983345b8 download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q5_K_S.gguf 18.0 GB 8f5f4c84 download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q4_1.gguf 16.5 GB 3e8c43fb download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q4_K_M.gguf 15.8 GB 9d57bd50 download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q4_K_S.gguf 15.0 GB 76960d9d download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q4_0.gguf 15.0 GB 00d2af9c download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ4_XS.gguf 14.2 GB a5d161cf download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q3_K_L.gguf 13.7 GB 4cea4c15 download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q3_K_M.gguf 12.7 GB 9a4f7ea1 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ3_M.gguf 11.9 GB d1c28561 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ3_S.gguf 11.7 GB 9487fad9 download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q3_K_S.gguf 11.7 GB 38aba670 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ3_XS.gguf 11.1 GB 51d06386 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ3_XXS.gguf 10.4 GB 67082765 download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q2_K.gguf 9.95 GB 35e3757f download
Muse-Glimmer-30B-Abliterated-BF16.i1-Q2_K_S.gguf 9.34 GB a45a638d download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ2_M.gguf 9.17 GB a1b35f44 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ2_S.gguf 8.50 GB 25be80ad download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ2_XS.gguf 8.12 GB 7d9d2840 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ2_XXS.gguf 7.41 GB 451541a7 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ1_M.gguf 6.58 GB 788ca5a7 download
Muse-Glimmer-30B-Abliterated-BF16.i1-IQ1_S.gguf 6.08 GB 2e78672c download
Muse-Glimmer-30B-Abliterated-BF16.imatrix.gguf 12.8 MB 5ffe863f download
Auxiliary files 2 files 10.4 KB
README.md 6.89 KB a5a416ed download
.gitattributes 3.46 KB 26cc3f91 download

README current version from Hugging Face


base_model: Blackfrost-AI/Muse-Glimmer-30B-Abliterated-BF16
language:

  • en
  • multilingual
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • muse-glimmer
  • muse_glimmer
  • abliterated
  • derisked
  • bf16
  • multimodal
  • conversational
  • research
  • security
  • red-teaming
  • evaluation
  • not-for-all-audiences

About

weighted/imatrix quants of https://huggingface.co/Blackfrost-AI/Muse-Glimmer-30B-Abliterated-BF16

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-BF16-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 3 versions

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

  1. 2026-08-12auto-patch README.md6ac9b236.9 KB
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  2. 2026-08-12auto-patch README.md724d43a5.3 KB
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  3. 2026-08-12uploaded from nico16230ea9499 B
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