初始化项目，由ModelHub XC社区提供模型

Model: richardyoung/DeepSeek-R1-Distill-Qwen-7B-abliterated-obliteratus
Source: Original Platform

abliteration_metadata.json

@@ -0,0 +1,56 @@
+{
+  "source_model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
+  "technique": "refusal_direction_ablation",
+  "method": "advanced",
+  "method_config": {
+    "n_directions": 4,
+    "direction_method": "svd",
+    "norm_preserve": true,
+    "regularization": 0.3,
+    "refinement_passes": 2,
+    "project_biases": true,
+    "use_chat_template": true,
+    "use_whitened_svd": false,
+    "true_iterative_refinement": false,
+    "winsorize_activations": false,
+    "float_layer_interpolation": false,
+    "cot_aware": false,
+    "use_kl_optimization": false,
+    "use_lora_ablation": false,
+    "spectral_cascade": false,
+    "spectral_bands": 3,
+    "spectral_threshold": 0.05
+  },
+  "references": [
+    "Arditi et al., Refusal in Language Models Is Mediated by a Single Direction (NeurIPS 2024)",
+    "Gabliteration: SVD-based multi-direction extraction (arXiv:2512.18901)",
+    "Norm-Preserving Biprojected Abliteration (grimjim, 2025)",
+    "Young, Comparative Analysis of LLM Abliteration Methods (arXiv:2512.13655)",
+    "Joad et al., More to Refusal than a Single Direction (2026)",
+    "Heretic (p-e-w, 2025): Bayesian optimization, LoRA-mediated ablation, winsorization",
+    "OBLITERATUS: Whitened SVD, EGA, CoT-aware, KL co-optimization, float interpolation (novel)"
+  ],
+  "strong_layers": [
+    27,
+    26,
+    25,
+    24,
+    23,
+    22,
+    21,
+    20
+  ],
+  "n_harmful_prompts": 512,
+  "n_harmless_prompts": 512,
+  "quality_metrics": {
+    "perplexity": 47.104726995215096,
+    "coherence": 1.0,
+    "refusal_rate": 0.03333333333333333,
+    "kl_divergence": 0.4912732243537903,
+    "spectral_certification": "RED"
+  },
+  "kl_contributions": {},
+  "cot_preserved_layers": [],
+  "float_layer_weights": {},
+  "lora_adapters_saved": false
+}