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brainworkup/Muse-Glimmer-30B-Abliterated-oQ4e

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Response includes
  • classification m1
  • files 15
  • hub_downloads_all_time 194
  • author_summary 6 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
194
56 last 30d - stable
Likes
0
Model age
2mo ago
created 2026-08-13
Downloads over time
Now214→from75↑185%
6812117522875 on Aug 19214 on Oct 12AugSepOct
Aug 19 → Oct 12 · 49 snapshots · spans 54 days

Metadata

Tags
mlx safetensors muse_glimmer oq quantized 4-bit region:us

Related

Total size
18.9 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-14 18:56

Files by quantization

Auxiliary files 15 files 18.9 GB
model-00004-of-00005.safetensors 4.71 GB 1a7d1cf7 download
model-00002-of-00005.safetensors 4.66 GB c5e33e48 download
model-00001-of-00005.safetensors 4.66 GB ee63641d download
model-00003-of-00005.safetensors 4.66 GB a08e311e download
model-00005-of-00005.safetensors 178 MB 7f330c01 download
tokenizer.json 26.8 MB c9dbee66 download
model.safetensors.index.json 204 KB 217f8966 download
tokenizer_config.json 87.5 KB 6413515e download
oq_imatrix_report.json 24.7 KB 848dbf03 download
config.json 9.40 KB 6a8c65c6 download
chat_template.jinja 9.31 KB 6fbdf45f download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.06 KB ec9a07be download
README.md 332 B c8819407 download
generation_config.json 148 B 3495c31e download

README current version from Hugging Face


library_name: mlx
tags:

  • mlx
  • oq
  • quantized

Muse-Glimmer-30B-Abliterated-oQ4e

This model was quantized using oQ (oMLX v0.6.0.dev1) mixed-precision quantization.

Quantization details

  • Model type: muse_glimmer
  • Bits: 4
  • Group size: 64
  • Format: MLX safetensors

README history 1 version

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

  1. 2026-08-14Upload Muse-Glimmer-30B-Abliterated-oQ4e via oMLX86d9273332 B
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