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Diffusion Pusht by osanseviero

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  Arxiv:2303.04137   Dataset:lerobot/pusht   Endpoints compatible   Region:us   Robotics   Safetensors
Model Card on HF 🤗: https://huggingface.co/osanseviero/diffusion_pusht 

Diffusion Pusht Benchmarks

LLME Score: 0.19391
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Diffusion Pusht (osanseviero/diffusion_pusht)

Diffusion Pusht Parameters and Internals

Model Type 
robotics
Use Cases 
Areas:
robotics
Additional Notes 
Trained with incorporation of PR from LeRobot's GitHub.
Training Details 
Data Sources:
pusht
Methodology:
Training using LeRobot's training script with hydra configurations for PushT environment
Training Time:
7 hours
Hardware Used:
Nvidia RTX 3090
Model Architecture:
Action Diffusion for Visuomotor Policy Learning
LLM NameDiffusion Pusht
Repository 🤗https://huggingface.co/osanseviero/diffusion_pusht 
Model Size262.7m
Required VRAM1.1 GB
Updated2025-02-22
Maintainerosanseviero
Model Files  1.1 GB
Model ArchitectureAutoModel
Licenseapache-2.0

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Release v20241227
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