Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- ByteDance-Seed/Seed-OSS-36B-Instruct
+pipeline_tag: text-generation
+---
+
+
+# YanLabs/Seed-OSS-36B-Instruct-MPOA
+
+
+This is an abliterated version of [ByteDance-Seed/Seed-OSS-36B-Instruct](https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct) using the norm-preserving biprojected abliteration technique.
+
+**⚠️ Warning**: Safety guardrails and refusal mechanisms have been removed through abliteration. This model may generate harmful content and is intended for mechanistic interpretability research only.
+
+## Model Details
+
+### Model Description
+
+This model applies **norm-preserving biprojected abliteration** to remove refusal behaviors while preserving the model's original capabilities. The technique surgically removes "refusal directions" from the model's activation space without traditional fine-tuning.
+
+- **Developed by**: YanLabs
+- **Model type**: Causal Language Model (Transformer)
+- **License**: apache-2.0
+- **Base model**:  [ByteDance-Seed/Seed-OSS-36B-Instruct](https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct)
+
+### Model Sources
+
+- **Base Model**:  [ByteDance-Seed/Seed-OSS-36B-Instruct](https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct)
+- **Abliteration Tool**: [jim-plus/llm-abliteration](https://github.com/jim-plus/llm-abliteration)
+- **Paper**: [Norm-Preserving Biprojected Abliteration](https://huggingface.co/blog/grimjim/norm-preserving-biprojected-abliteration)
+
+## Uses
+
+### Intended Use
+
+- **Research**: Mechanistic interpretability studies
+- **Analysis**: Understanding LLM safety mechanisms
+- **Development**: Testing abliteration techniques
+
+### Out-of-Scope Use
+
+- ❌ Production deployments
+- ❌ User-facing applications
+- ❌ Generating harmful content for malicious purposes
+
+## Limitations
+
+- Abliteration does not guarantee complete removal of all refusals
+- May generate unsafe or harmful content
+- Model behavior may be unpredictable in edge cases
+- No explicit harm prevention mechanisms remain
+
+## Citation
+
+If you use this model in your research, please cite:
+
+```bibtex
+@misc{Seed-OSS-36B-Instruct-MPOA,
+  author = {YanLabs},
+  title = {Seed-OSS-36B-Instruct-MPOA},
+  year = {2025},
+  publisher = {HuggingFace},
+  howpublished = {\url{https://huggingface.co/YanLabs/Seed-OSS-36B-Instruct-MPOA}},
+  note = {Abliterated using norm-preserving biprojected technique}
+}