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@@ -18,19 +18,6 @@ The PlanPhys model family explores different pre-training strategies, including
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- ## πŸš€ Model Zoo
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- We provide multiple pretrained variants of PlanPhys models:
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- | Model | Description |
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- |---|---|
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- | πŸ”Ή [PlanPhys-Model-Pre-Training-Random](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Random) | Baseline model pretrained with random data sampling strategy |
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- | πŸ”Ή [PlanPhys-Model-Pre-Training-Scaling](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Scaling) | Scaled-up pretraining model with larger training resources and data |
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- | πŸ”Ή [PlanPhys-Model-Pre-Training-Distribution](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Distribution) | Model optimized with improved data distribution strategies |
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- | πŸ”Ή [PlanPhys-Model-Pre-Training-Ensemble](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Ensemble) | Ensemble model combining multiple pretrained representations |
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- ---
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  ## πŸ“Œ Overview
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  PlanPhys investigates how large-scale pretraining strategies influence the learning of physical knowledge.
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- ## πŸ› οΈ Usage
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- Each model repository contains:
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- - Model checkpoints
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- - Configuration files
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- - Training details
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- - Inference examples
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- Please refer to the corresponding model card for detailed usage instructions.
 
 
 
 
 
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- ## πŸ“š Related Resources
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- | Resource | Link |
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- |---|---|
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- | Random Pretraining | https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Random |
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- | Scaling Study | https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Scaling |
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- | Distribution Study | https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Distribution |
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- | Ensemble Model | https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Ensemble |
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  ## πŸ“ Citation
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  ## πŸ“Œ Overview
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  PlanPhys investigates how large-scale pretraining strategies influence the learning of physical knowledge.
 
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  ---
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+ ## πŸš€ Model Zoo
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+ We provide multiple pretrained variants of PlanPhys models:
 
 
 
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+ | Model | Description |
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+ |---|---|
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+ | πŸ”Ή [PlanPhys-Model-Pre-Training-Random](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Random) | Baseline model pretrained with random data sampling strategy |
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+ | πŸ”Ή [PlanPhys-Model-Pre-Training-Scaling](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Scaling) | Scaled-up pretraining model with larger training resources and data |
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+ | πŸ”Ή [PlanPhys-Model-Pre-Training-Distribution](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Distribution) | Model optimized with improved data distribution strategies |
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+ | πŸ”Ή [PlanPhys-Model-Pre-Training-Ensemble](https://huggingface.co/MultimodalAgent/PlanPhys-Model-Pre-Training-Ensemble) | Ensemble model combining multiple pretrained representations |
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  ## πŸ“ Citation
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