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davidwdw/rlinf_libero_vla
rlinf_libero_vla is a reinforcement learning model from davidwdw. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This archive stores reproducible RLinf/OpenVLA-OFT LIBERO training recipes, model artifacts, checkpoints, logs, and evaluation summaries.
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Updated Sep 18, 2026
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From the Hugging Face model README
This archive stores reproducible RLinf/OpenVLA-OFT LIBERO training recipes, model artifacts, checkpoints, logs, and evaluation summaries.
This model archive is intentionally separate from the independent
/media/david/HDD/training_recipe/ repository:
models/: base VLA model artifacts.checkpoints/: distributed PPO checkpoints by training run and global step.results/: metrics, logs, and TensorBoard outputs by training run.runs/: raw logs and TensorBoard snapshots./media/david/HDD/training_recipe/: one self-contained recipe directory per
training run, containing only YAML, source revision, hyperparameters, and
README.The first archived run is the 4-GPU H20 task-3 PPO experiment completed on
2026-09-18. Its final checkpoint is under
checkpoints/2026-09-17_task3_ppo_4gpu_h20_gpu0126/global_step_100/; its
recipe is under the independent training_recipe directory.
The archive is stored on centre at /media/david/HDD/rlinf_libero_vla
(the mounted filesystem is uppercase HDD; /media/david/hdd is not
available). The recipe YAMLs and READMEs are suitable for a GitHub repository.
The model and distributed checkpoints are large binary artifacts (about 29 GB
and 59 GB); keep them in Git LFS or an artifact store rather than regular Git
history. The checkpoint byte totals are recorded beside the checkpoints.