- Use
pyproject.tomlto set up OpenVLA (PyTorch versions are defined here). - Install FlashAttention and BitsAndBytes versions compatible with the
pyproject.toml.
- Change directory to your base datasets folder:
cd <PATH TO BASE DATASETS DIR>- Download the full dataset (approximately 124 GB):
wget -r -nH --cut-dirs=4 --reject="index.html*" https://rail.eecs.berkeley.edu/datasets/bridge_release/data/tfds/bridge_dataset/- Rename the dataset to
bridge_orig(required; omitting this may lead to runtime errors later):
mv bridge_dataset bridge_origRun the following script:
python scripts/action-compare-pipeline/bridgev2_eval.py \
--num_action_samples 8 \
--sample_temperature 0.8- Using quantized model variants works better with an RTX 4090.