🧠 Model

smolvla_base

by lerobot

--- pipeline_tag: robotics tags: - smolvla library_name: lerobot datasets: - lerobot/svla_so101_pickplace --- Resources and technical documentation: SmolVLA Paper SmolVLA Blogpost Code Train using Google Colab Notebook SmolVLA HF Documentation Designed by Hugging Face. This model has 450M parameters...

πŸ• Updated 12/18/2025

🧠 Architecture Explorer

Neural network architecture

1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer

About

Resources and technical documentation: SmolVLA Paper SmolVLA Blogpost Code Train using Google Colab Notebook SmolVLA HF Documentation Designed by Hugging Face. This model has 450M parameters in total. You can use inside the LeRobot library. Before proceeding to the next steps, you need to properly install the environment by following Installation Guide on the docs. Install smolvla ext...

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
  • β€’ Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/lerobot/smolvla_base","fetched_at":"2025-12-18T04:21:59.022Z","adapter_version":"3.2.0"}]

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