Instructions to use drashutoshspace/moonbot_pi0_three_blocks_stack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use drashutoshspace/moonbot_pi0_three_blocks_stack 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
|
Download README.md from drashutoshspace/moonbot_pi0_three_blocks_stack: direct link, hf CLI and curl.
- Browser
- Download file 1.63 kB
-
https://huggingface.co/drashutoshspace/moonbot_pi0_three_blocks_stack/resolve/main/README.md
- Command line
-
hf download hf://drashutoshspace/moonbot_pi0_three_blocks_stack/README.md
-
curl -L -o README.md https://huggingface.co/drashutoshspace/moonbot_pi0_three_blocks_stack/resolve/main/README.md
1.63 kB
| license: apache-2.0 | |
| tags: | |
| - lerobot | |
| - pi0 | |
| - robotics | |
| - moonbot | |
| pipeline_tag: robotics | |
| # moonbot pi0 — three blocks stack | |
| pi0 fine-tuned from [`lerobot/pi0_base`](https://huggingface.co/lerobot/pi0_base) | |
| on [`gdiazsrl/three_blocks_stack_sep22`](https://huggingface.co/datasets/gdiazsrl/three_blocks_stack_sep22) | |
| (296 episodes, 519,684 frames, 9 block-stacking tasks). | |
| ## ⚠️ Checkpoint `020000` — training still in progress | |
| This is an **intermediate checkpoint at step 20,000 of 20,000**, published | |
| early so it can be evaluated while the run continues. It is not the final model. | |
| ## Training configuration | |
| | | | | |
| |---|---| | |
| | base | `lerobot/pi0_base` | | |
| | batch_size | 16 | | |
| | steps (total) | 20,000 | | |
| | dtype | bfloat16 | | |
| | gradient_checkpointing | true | | |
| | freeze_vision_encoder | false | | |
| | train_expert_only | false | | |
| | GPU | RTX PRO 6000 Blackwell (96 GB), ~39 GB used | | |
| ## Contents | |
| `pretrained_model/` only — `model.safetensors` plus the pre/post-processor | |
| configs. The optimizer state (~14 GB) is **not** included; this checkpoint is for | |
| inference and evaluation, not for resuming training. | |
| ## Deployment note | |
| Per Gustavo: open `config.json` in the downloaded checkpoint and **remove invalid | |
| fields such as `pretrained_revision`** before loading with | |
| `rosetta/policy_bridge_node.py`. | |
| ```bash | |
| python src/rosetta/rosetta/policy_bridge_node.py --ros-args \ | |
| -p contract_path:=<path>/moonbot1.yaml \ | |
| -p policy_path:=<downloaded>/checkpoint-020000 | |
| ``` | |
| The deployment contract must match the dataset: this model was trained on | |
| **21-dim `observation.state`** (`joint_read` 8 + `tip_pos` 7 + `F_ee` 6). | |