Robotics
LeRobot
Safetensors
English
vision-language-action
imitation-learning
so-101
spa-bench
groot-n1.7
Instructions to use justintiensmith/groot_multi_gpu_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use justintiensmith/groot_multi_gpu_v4 with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Document recovered Spa-Bench training provenance
Browse files
README.md
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@@ -52,6 +52,12 @@ revision. The current public GR00T base revision at archival review is
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`2fc962b973bccdd5d8ce4f67cc63b264d6886495`; it must not be assumed to be the
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unrecorded training revision.
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## Deployment processing
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For both GR00T variants, non-gripper action dimensions used the causal filter
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`2fc962b973bccdd5d8ce4f67cc63b264d6886495`; it must not be assumed to be the
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unrecorded training revision.
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The author-supplied original
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[`train_groot_n17_frozen_llm.sh`](https://github.com/justintiensmith/Imperial-Thesis/blob/main/training/groot/train_groot_n17_frozen_llm.sh)
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launcher is archived with the thesis artifact. It records seed 42, four-GPU
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training, the immutable dataset revision, component-freezing flags, checkpoint
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cadence, and the historical environment paths used for this run.
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## Deployment processing
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For both GR00T variants, non-gripper action dimensions used the causal filter
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