obliteratus

1# OBLITERATUS Abliteration Config2# Usage: obliteratus run this-file.yaml3#4# This is for reproducible, version-controlled abliteration runs.5# For one-off usage, the CLI flags are simpler.6 7# Model to abliterate8model:9  name: "meta-llama/Llama-3.1-8B-Instruct"10  dtype: "bfloat16"         # float16, bfloat16, float3211  quantization: null         # null, "4bit", "8bit"12  device: "auto"             # auto, cuda, cuda:0, cpu13 14# Abliteration method and parameters15abliteration:16  method: "informed"         # See SKILL.md Step 4 for all 13 methods17  n_directions: null         # null = auto-detect, or integer (e.g., 8)18  regularization: 0.0        # 0.0-1.0, fraction of original to preserve19  refinement_passes: 1       # Iterative passes (increase for self-repair)20  norm_preserve: true        # Keep weight norms intact after projection21 22# Output23output:24  directory: "./abliterated-models"25  save_metadata: true        # Save abliteration_metadata.json alongside model26  contribute: false          # Save community contribution data27 28# Verification29verify:30  enabled: true31  test_prompts: null         # null = use built-in test prompts32  compute_perplexity: true33  compute_kl: true34