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hotdogs/Ternary-Bonsai-2-27B-Uncensored-Heretic-swift_unc

hotdogs 27B GGUF
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Response includes
  • classification m3
  • files 7
  • author_summary 27 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
0
Likes
0
Model age
today
created 2026-10-19

Metadata

Tags
gguf endpoints_compatible region:us conversational

Related

Total size
12.2 GB
Files
7
Quantizations
3
Registered
2026-10-19 09:00
Last updated on HF
2026-10-19 08:24

Files by quantization

BF16 1 file 888 MB
Ternary-Bonsai-2-27B-mmproj-BF16.gguf 888 MB e287342d download
Q8_0 1 file 600 MB
Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf 600 MB 6807ede6 download
Auxiliary files 5 files 12.2 GB
Ternary-Bonsai-2-27B-Uncensored-Heretic-swift_unc-PQ2_0.gguf 6.67 GB 3462050e download
Ternary-Bonsai-2-27B-Uncensored-Heretic-swift_unc-PTQ1_0.gguf 5.50 GB 6b1557f0 download
install.sh 13.7 KB 7cd09b41 download
chat_template.jinja 8.74 KB c0c686f9 download
.gitattributes 1.82 KB b8295283 download

README

The author did not publish a README.

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