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| license: apache-2.0 |
| language: en |
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| # 🦒 The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation |
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| This repository hosts the models from **PlanPhys**, a family of foundation models designed for researching multi-turn long-horizon planning. |
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| The PlanPhys model family explores different training strategies, including Random model, SFT model, OPD model. |
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| ## 🚀 Model Zoo |
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| We provide multiple PlanPhys models (**The data is in each Files and version**): |
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| | Model | |
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| | 🔹 [PlanPhys-Model-Pre-Training-Random](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Random) | |
| | 🔹 [PlanPhys-Model-Pre-Training-Scaling](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Scaling) | |
| | 🔹 [PlanPhys-Model-Pre-Training-Distribution](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Distribution) | |
| | 🔹 [PlanPhys-Model-Pre-Training-Ensemble](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Ensemble) | |
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| ## 📝 Citation |
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| If you find PlanPhys useful in your research, please cite: |
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| ```bibtex |
| @article{PlanPhys, |
| title={The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation}, |
| author={}, |
| journal={}, |
| year={} |
| } |
