OBLITERATUS: inverted on usermma/Helix-SCE-12B-abliterated-heretic

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

.quick_checkpoint

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+saved_after_excise

README.md

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+---
+language: en
+tags:
+  - obliteratus
+  - abliteration
+  - uncensored
+  - obliterate
+base_model: usermma/Helix-SCE-12B-abliterated-heretic
+---
+
+# Helix-SCE-12B-abliterated-heretic-OBLITERATED
+
+This model was abliterated using the **`inverted`** method via
+[OBLITERATUS](https://github.com/elder-plinius/OBLITERATUS).
+
+| Detail | Value |
+|--------|-------|
+| Base model | `usermma/Helix-SCE-12B-abliterated-heretic` |
+| Method | `inverted` |
+| Source | obliterate |
+
+## How to Use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Helix-SCE-12B-abliterated-heretic-OBLITERATED")
+tokenizer = AutoTokenizer.from_pretrained("Helix-SCE-12B-abliterated-heretic-OBLITERATED")
+
+prompt = "Hello, how are you?"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=256)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## About OBLITERATUS
+
+OBLITERATUS is an open-source tool for removing refusal behavior from language
+models via activation engineering (abliteration). Learn more at
+[github.com/elder-plinius/OBLITERATUS](https://github.com/elder-plinius/OBLITERATUS).

abliteration_metadata.json

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+{
+  "source_model": "usermma/Helix-SCE-12B-abliterated-heretic",
+  "technique": "refusal_direction_ablation",
+  "method": "inverted",
+  "method_config": {
+    "n_directions": 8,
+    "direction_method": "svd",
+    "norm_preserve": true,
+    "regularization": 0.0,
+    "refinement_passes": 2,
+    "project_biases": true,
+    "use_chat_template": true,
+    "use_whitened_svd": true,
+    "true_iterative_refinement": true,
+    "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": [],
+  "n_harmful_prompts": 66,
+  "n_harmless_prompts": 66,
+  "quality_metrics": {
+    "perplexity": 5456.916843174113,
+    "coherence": 0.1,
+    "refusal_rate": 0.0,
+    "degenerate_count": 2,
+    "kl_divergence": null,
+    "spectral_certification": null
+  },
+  "kl_contributions": {},
+  "cot_preserved_layers": [],
+  "float_layer_weights": {},
+  "lora_adapters_saved": false
+}

chat_template.jinja

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+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.3.0",
+  "use_cache": true,
+  "vocab_size": 131076
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 20,
+  "transformers_version": "5.3.0",
+  "use_cache": true
+}

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obliteratus_session.json

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tokenizer.json

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+size 17079295

tokenizer_config.json

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