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HiMem-WAM
Xiaoquan06/HiMem-WAM
HiMem-WAM is a robotics model from Xiaoquan06. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
This repository hosts the released checkpoint and dataset statistics for HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation.
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Public
Updated Jul 10, 2026
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12 GB
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.pt12 GB · 100%
At a glance
- Task
- Robotics
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- e6e2e6dc
Model card
From the Hugging Face model README
HiMem-WAM Checkpoint
This repository hosts the released checkpoint and dataset statistics for HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation.
GitHub: https://github.com/Agentic-Intelligence-Lab/HiMem-WAM
Files
himem-wam_libero.pt: released HiMem-WAM checkpoint.himem-wam_libero_dataset_stats.json: dataset statistics used for action normalization and inference.
Usage
export CKPT=/path/to/himem-wam_libero.pt
export STATS=/path/to/himem-wam_libero_dataset_stats.json
python scripts/infer_libero.py \
--backend wan \
--config configs/libero/infer_libero.yaml \
--checkpoint "$CKPT" \
--dataset-stats "$STATS" \
--suite libero_spatial \
--task 0 \
--num-rollouts 50 \
--device cuda:0 \
--save-dir outputs/libero_spatial_task0 \
--max-steps 500
Please refer to the GitHub repository for installation, environment setup, and evaluation instructions.
- Task
- Robotics
- Library
- pytorch
- License
- mit
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026