Instructions to use zuoyerumeng/xvla-m2w-multitask-1gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use zuoyerumeng/xvla-m2w-multitask-1gpu with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| { | |
| "status": "passed", | |
| "checkpoint": "/root/autodl-tmp/xvla_m2w/outputs/xvla_m2w_multitask_1gpu/checkpoints/020000", | |
| "step": 20000, | |
| "num_processes": 1, | |
| "batch_size_per_process": 16, | |
| "image_feature_order": [ | |
| "observation.images.cam_high", | |
| "observation.images.cam_left_wrist", | |
| "observation.images.cam_right_wrist" | |
| ], | |
| "state_dim": 14, | |
| "action_dim": 14, | |
| "model_action_dim": 20, | |
| "model_state_dim": 20, | |
| "model": { | |
| "path": "/root/autodl-tmp/xvla_m2w/outputs/xvla_m2w_multitask_1gpu/checkpoints/020000/pretrained_model/model.safetensors", | |
| "bytes": 1759596986, | |
| "tensor_count": 903, | |
| "element_count": 879738545, | |
| "dtype_element_counts": { | |
| "BF16": 879738545 | |
| } | |
| }, | |
| "optimizer": { | |
| "path": "/root/autodl-tmp/xvla_m2w/outputs/xvla_m2w_multitask_1gpu/checkpoints/020000/training_state/optimizer_state.safetensors", | |
| "bytes": 3518165076, | |
| "tensor_count": 2703, | |
| "element_count": 1758965813, | |
| "dtype_element_counts": { | |
| "BF16": 1758964912, | |
| "F32": 901 | |
| } | |
| } | |
| } | |