初始化项目，由ModelHub XC社区提供模型

Model: DuoNeural/Mistral-NeMo-12B-Abliterated
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-Nemo-Instruct-2407
+language:
+  - en
+tags:
+  - abliteration
+  - mistral
+  - DuoNeural
+  - mechanistic-interpretability
+pipeline_tag: text-generation
+---
+
+# Mistral-NeMo-12B Abliterated
+
+**DuoNeural | 2026-06-04**
+
+Orthogonal rank-1 projection abliteration applied to [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407).
+
+> **Research note**: Pre-abliteration compliance was **6/6** on our harmful probe suite — the base model already answered these requests before any weight modification. KL = 0.0004 (EXCELLENT) confirms near-zero benign distribution shift. This model is published as a documented research artifact; Mistral-NeMo's lighter safety training meant abliteration was mechanistically clean but behaviorally minimal.
+
+---
+
+## Architecture
+
+| Property | Value |
+|----------|-------|
+| Parameters | 12.2B (dense) |
+| Layers | 40 | Hidden | 5120 |
+| Attention | GQA (8 KV heads / 32 query heads), SWA 4096 |
+| Tokenizer | Tekken v3 (131,072 vocab) |
+
+## Abliteration
+
+- **Method**: Orthogonal rank-1 projection (DuoNeural standard)
+- **Targets**: `down_proj` + `o_proj`, all 40 layers
+- **Direction**: diff-in-means, 10 harmful vs 10 harmless, last-token final-layer hidden state
+- **α**: 0.3
+- **KL divergence** (Heretic v2.0, BF16→BF16, 10 benign probes): **0.0004** (EXCELLENT)
+- **Pre-abliteration compliance**: 6/6 harmful probes — model was already compliant
+- **Post-abliteration**: unchanged
+
+## P34 Research Context
+
+This model is part of DuoNeural's **P34 Reasoning Channel Bypass** cross-architecture study.
+
+Finding: Mistral-NeMo-Instruct-2407 shows pre-abliteration compliance (same pattern as DeepSeek-R1-Distill). This indicates Mistral's lighter safety training approach does not install a meaningful output-gate refusal locus — the two-component safety structure required for CoT dissociation is absent. Compare with Gemma 4-12B-IT and LFM 2.5-8B-A1B, where abliteration was required and produced measurable thinking-channel / output-gate dissociation.
+
+Full paper: [DuoNeural Zenodo community](https://zenodo.org/communities/duoneural)
+
+---
+
+**DuoNeural** | [HuggingFace](https://huggingface.co/DuoNeural) | [Zenodo](https://zenodo.org/communities/duoneural) | [@DuoNeural](https://x.com/DuoNeural)