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Johneeee/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-oQ5e-aura-last4-fp16-text

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Response includes
  • classification m3
  • files 14
  • author_summary 110 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
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Likes
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Model age
today
created 2026-10-02

Metadata

Tags
mlx safetensors qwen3_5 oq quantized 5-bit region:us

Related

Total size
20.1 GB
Files
14
Quantizations
1
Registered
2026-10-02 13:58
Last updated on HF
2026-10-02 13:24

Files by quantization

Auxiliary files 14 files 20.1 GB
model-00004-of-00005.safetensors 4.73 GB 8f5bf924 download
model-00001-of-00005.safetensors 4.68 GB 213737b8 download
model-00002-of-00005.safetensors 4.67 GB 5853574b download
model-00003-of-00005.safetensors 4.67 GB 62402dd5 download
model-00005-of-00005.safetensors 1.33 GB 02af8c7a download
tokenizer.json 19.1 MB 87a7830d download
vocab.json 6.41 MB 0aa0ce06 download
model.safetensors.index.json 178 KB 8efb8ac0 download
config.json 58.7 KB 2e071331 download
tokenizer_config.json 16.0 KB 08f41ce2 download
chat_template.jinja 8.74 KB 5a39aa2b download
.gitattributes 1.53 KB 52373fe2 download
README.md 389 B 6fa5f325 download
generation_config.json 213 B d04042de download

README current version from Hugging Face


library_name: mlx
tags:

  • mlx
  • oq
  • quantized

Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-oQ5e-aura-last4-fp16-text

This model was quantized using oQ (oMLX v0.7.0.dev4) mixed-precision quantization.

Quantization details

  • Model type: qwen3_5
  • Bits: 5
  • Group size: 64
  • Format: MLX safetensors
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