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6 changes: 5 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ OpenTau ($\tau$) is a tool developed by *[Tensor][1]* to bridge this gap, and we
| Simulation Environments for Evaluating Models | ❌ | ✅ | ✅ |
| Create Validation Splits During Training | ❌ | ❌ | ✅ |
| $\pi^{*}_{0.6}$ style Reinforcement Learning Pipeline | ❌ | ❌ | ✅ |
| Post-training on Human Data (Beta)| ❌ | ❌ | ✅ |
| Post-training on Human Data| ❌ | ❌ | ✅ |
| Framework | Jax / PyTorch | PyTorch | PyTorch |

## Quick Start
Expand All @@ -64,6 +64,7 @@ We provide fully functioning $\pi_{0.5}$ checkpoints trained with high success r

| Model Checkpoint | Description | Success Rate (%) |
|-------------------------------|---------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------|
| [TensorAuto/moka_pot_libero_sft][6] <br> [TensorAuto/moka_pot_RECAP_R0][7] <br> [TensorAuto/moka_pot_RECAP_R1][8] | A $\pi_{0}$ RECAP model checkpoint trained on moka pot task on libero. | 83% <br> 89% <br> 90% |
| [TensorAuto/tPi0.5-libero][2] | A $\pi_{0.5}$ model checkpoint trained on the LIBERO dataset with discrete actions and knowledge insulation. | 98.4% (10) <br> 97.6% (Goal) <br> 100% (Object) <br> 98% (Spatial) |
| [TensorAuto/pi05_base][5] | A $\pi_{0.5}$ model checkpoint converted from the official openpi checkpoint, with language embeddings added. | N/A |
| More coming soon... | | |
Expand All @@ -77,3 +78,6 @@ This project builds on the $\pi$ series of [papers][3] and many other open-sourc
[3]: https://www.pi.website/blog
[4]: https://huggingface.co/lerobot
[5]: https://huggingface.co/TensorAuto/pi05_base
[6]: https://huggingface.co/TensorAuto/moka_pot_libero_sft
[7]: https://huggingface.co/TensorAuto/moka_pot_RECAP_R0
[8]: https://huggingface.co/TensorAuto/moka_pot_RECAP_R1
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