Instructions to use agents2agents/MolmoAct2-LIBERO-Jetson-Thor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use agents2agents/MolmoAct2-LIBERO-Jetson-Thor with TensorRT:
# 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 NOTICE from agents2agents/MolmoAct2-LIBERO-Jetson-Thor: direct link, hf CLI and curl.
- Browser
- Download file 832 Bytes
-
https://huggingface.co/agents2agents/MolmoAct2-LIBERO-Jetson-Thor/resolve/main/NOTICE
- Command line
-
hf download hf://agents2agents/MolmoAct2-LIBERO-Jetson-Thor/NOTICE
-
curl -L -o NOTICE https://huggingface.co/agents2agents/MolmoAct2-LIBERO-Jetson-Thor/resolve/main/NOTICE
832 Bytes
| vla-edge prebuilt TensorRT artifacts | |
| Copyright 2026 Agents2Agents, Inc. | |
| Licensed under the Apache License, Version 2.0; see LICENSE. | |
| These compiled artifacts embed model weights and are derivative works of: | |
| allenai/MolmoAct2-LIBERO | |
| a work of the Allen Institute for AI, released under the Apache License, | |
| Version 2.0. | |
| Models: https://huggingface.co/collections/allenai/molmoact2-models | |
| Code: https://github.com/allenai/molmoact2 | |
| Paper: https://arxiv.org/abs/2605.02881 | |
| Modifications: the checkpoints were converted to TensorRT engines and a fused | |
| CUDA implementation of the action expert. Weight values are unmodified; the | |
| conversion changes execution, not parameters. Numerical equivalence is bounded | |
| by the parity gates documented at | |
| https://github.com/Agents2AgentsAI/vla-edge/blob/main/docs/gates.md | |