| language: en | |
| license: apache-2.0 | |
| pipeline_tag: text-generation | |
| library_name: transformers | |
| # 🦒 The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation | |
| This repository hosts the models from **PlanPhys**, a family of foundation models designed for researching multi-turn long-horizon planning. | |
| The PlanPhys model family explores different training strategies, including Random model, SFT model, OPD model. | |
| Paper: https://huggingface.co/papers/2607.24720 | |
| Project page: https://quester-one.github.io/PlanPhysWebsite/ | |
| Code: https://github.com/Quester-one/PlanPhysCode | |
| --- | |
| ## 🚀 Model Zoo | |
| We provide multiple PlanPhys models (**The data is in each Files and version**): | |
| | Model | | |
| |---| | |
| | 🔹 [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) | | |
| --- | |
| ## 📝 Citation | |
| If you find PlanPhys useful in your research, please cite: | |
| ```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={} | |
| } | |
| ``` |