Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# 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
File size: 767 Bytes
038e937 c3c5926 038e937 bd6bf05 038e937 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"model_type": "xperience10m_task_baseline_suite",
"project": "Ropedia Xperience-10M Task Suite",
"description": "Minimal NumPy baselines and compact PyTorch MLP checkpoints for single-episode Xperience-10M embodied-AI task probes.",
"source_datasets": [
"ropedia-ai/xperience-10m",
"ropedia-ai/xperience-10m-sample"
],
"base_model_reference": "Qwen/Qwen3-Omni-30B-A3B-Instruct",
"artifact_layout": {
"pytorch_bundle": "pytorch_model.bin",
"pytorch_bundle_manifest": "pytorch_model_manifest.json",
"minimal_numpy_baselines": "artifacts/**/model.npz",
"neural_mlp_baselines": "artifacts/episode_task_suite/neural_mlp/**/model.pt",
"metrics": "artifacts/**/metrics.json",
"predictions": "artifacts/**/*predictions*"
}
}
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