初始化项目，由ModelHub XC社区提供模型

Model: HaadesX/iconoclast-llama3.1-8b
Source: Original Platform

NOTICE.md

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+This project is a standalone research codebase built in part from ideas and derivative source adaptations of the `Heretic` project by Philipp Emanuel Weidmann and contributors.
+
+Repository lineage:
+- Standalone repository: https://github.com/Haadesx/Iconoclast
+- Original NLP project context: https://github.com/Haadesx/NLP_Project
+- Upstream Heretic project: https://github.com/p-e-w/heretic
+
+What changed here:
+- Separate package name, module tree, and CLI surface
+- Additional direction-estimation algorithms
+- Different evaluation objective with overrefusal penalties
+- Different research framing focused on reproducibility and utility tradeoffs
+- A new standalone public identity under the name `Iconoclast`
+- Benign-subspace preservation for utility-aware representation editing
+
+What did not change:
+- The derivative portions remain subject to the GNU Affero General Public License v3.0 or later
+- Copyright and license notices for inherited code must be preserved
+
+The full AGPL license text is included in [`LICENSE`](LICENSE).
+
+## Specific Attribution for Llama-3.1-8B-Instruct Model
+
+This ICONOCLAST abliterator of meta-llama/Llama-3.1-8B-Instruct was created and published by:
+- **Varesh Patel** (individual open-source researcher)
+
+The model weights and configuration represent the result of:
+- 48-trial Optuna study with 4 startup trials
+- Benign-subspace preservation with rank 8
+- Global median direction estimator with blend 0.934
+- Layer-wise interpolation parameters from trial #36
+
+This model incorporates derivative work from:
+- Meta Llama Team for the base Llama-3.1-8B-Instruct model
+- Philipp Emanuel Weidmann and contributors for the Heretic abliteration concept
+- Hugging Face Team for transformers, PEFT, and accelerate libraries
+- Optuna Team for Bayesian optimization framework