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tacodevs/gemma-4-31B-it-uncensored-heretic-NVFP4-W4A4

tacodevs Gemma 31B
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Response includes
  • classification m3
  • files 11
  • author_summary 3 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
0
Model age
today
created 2026-11-07

Metadata

Tags
safetensors gemma4 8-bit compressed-tensors region:us

Related

Total size
19.0 GB
Files
11
Quantizations
1
Registered
2026-11-07 06:02
Last updated on HF
2026-11-07 03:48

Files by quantization

Auxiliary files 11 files 19.1 GB
model-00001-of-00002.safetensors 18.6 GB c8d679d5 download
model-00002-of-00002.safetensors 432 MB 9b89e976 download
tokenizer.json 30.7 MB e4c18ffe download
model.safetensors.index.json 248 KB 1db10da6 download
config.json 18.5 KB 9f05a066 download
chat_template.jinja 18.4 KB b0b68f32 download
tokenizer_config.json 3.72 KB 322c0f3e download
processor_config.json 1.65 KB 5465974d download
.gitattributes 1.53 KB 52373fe2 download
recipe.yaml 257 B 0ae8a4dd download
generation_config.json 217 B ed42ae71 download

README

The author did not publish a README.

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