80.9 MB

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History: 8 commits

itsalissonsilva

Explain model applications and add concrete examples; apply requested names

d7f2b0f verified 2 days ago

analysis
Measure restriction adapter layer likelihood, activations and spectra 9 days ago
blanket
Train and evaluate selective restrictions with blanket/random controls 9 days ago
interpretability
Release exact Forensics restriction adapter with public weights, layer/strength evidence, controls and Gemma terms 9 days ago
interpretability_patchfix
Correct donor capture to exact generation-prefill patch sites; verify all 26 self-restorations 9 days ago
parity
Check exact matched-batch restoration 9 days ago
selective
Train and evaluate selective restrictions with blanket/random controls 9 days ago
.gitattributes

1.52 kB
initial commit 9 days ago
GEMMA_PROHIBITED_USE_POLICY.txt

3.73 kB
Release exact Forensics restriction adapter with public weights, layer/strength evidence, controls and Gemma terms 9 days ago
LICENSE

9.05 kB
Release exact Forensics restriction adapter with public weights, layer/strength evidence, controls and Gemma terms 9 days ago
NOTICE

459 Bytes
Release exact Forensics restriction adapter with public weights, layer/strength evidence, controls and Gemma terms 9 days ago
README.md

7.13 kB
Explain model applications and add concrete examples; apply requested names 2 days ago
adapter_config.json

852 Bytes
Release exact Forensics restriction adapter with public weights, layer/strength evidence, controls and Gemma terms 9 days ago
adapter_model.safetensors

5.98 MB
xet

Release exact Forensics restriction adapter with public weights, layer/strength evidence, controls and Gemma terms 9 days ago
restriction.py

2.58 kB
Release exact Forensics restriction adapter with public weights, layer/strength evidence, controls and Gemma terms 9 days ago
restriction_results.json

561 kB
Train and evaluate selective restrictions with blanket/random controls 9 days ago
train_restriction_pilot.py

22.1 kB
Train and evaluate selective restrictions with blanket/random controls 9 days ago
training_manifest.json

881 kB
Train and evaluate selective restrictions with blanket/random controls 9 days ago