Instructions to use OpenRAL/rskill-pi05-openarm-vision-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use OpenRAL/rskill-pi05-openarm-vision-nf4 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| { | |
| "source_repo": "mddoai/pi05_openarm_vision", | |
| "source_revision": "0170d4211a8ecf1d1362b2f20171e04d5e91efca", | |
| "policy_class": "lerobot.policies.pi05.modeling_pi05.PI05Policy", | |
| "quantization": { | |
| "scheme": "nf4", | |
| "backend": "bitsandbytes", | |
| "compute_dtype": "bfloat16", | |
| "min_params_to_quantize": 4000000, | |
| "rule": "Linear modules with >=4_000_000 weight elements rewritten to bnb.nn.Linear4bit; smaller heads kept in compute_dtype (bfloat16).", | |
| "runtime_status": "loader-backed (install_prequantized_linears)" | |
| }, | |
| "dropped_state_entries": [] | |
| } |