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base repository: openvla/openvla
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head repository: moojink/openvla-oft
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  • 19 commits
  • 48 files changed
  • 1 contributor

Commits on Feb 28, 2025

  1. Public release: OpenVLA-OFT

    First commit for paper: "Fine-Tuning Vision-Language-Action Models:
    Optimizing Speed and Success" - Moo Jin Kim, Chelsea Finn, Percy Liang
    
    Website: https://openvla-oft.github.io/
    moojink committed Feb 28, 2025
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Commits on Mar 1, 2025

  1. Update finetune.py: Sync model files on master process only

    Prevents race conditions in multi-GPU training runs.
    moojink committed Mar 1, 2025
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Commits on Mar 7, 2025

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  3. Update openvla_utils.py: Add torch.inference_mode() to get_vla_action()

    Also update ALOHA VRAM usage in README.md
    moojink committed Mar 7, 2025
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  4. Update README: Update ALOHA VRAM usage to 18 GB

    (Previous commit was supposed to do this)
    moojink committed Mar 7, 2025
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Commits on Mar 8, 2025

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  2. Update ALOHA.md: Remove comment about Python 3.8.10

    (Python 3.10 actually works for the client conda environment)
    moojink committed Mar 8, 2025
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Commits on Mar 9, 2025

  1. Update BibTeX in README

    moojink authored Mar 9, 2025
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Commits on Mar 26, 2025

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Commits on Apr 28, 2025

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  3. Remove old base repo Bridge eval code for now

    To avoid confusion; will add back later with OpenVLA-OFT integration
    moojink committed Apr 28, 2025
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  5. Fix bug: diffusion inference with fewer steps at test time than train…

    … time
    
    This only affects evals with the OpenVLA-OFT diffusion variant when
    the number of denoising steps at test time is different than the
    amount specified during train time (e.g., fewer denoising steps for
    faster inference)
    moojink committed Apr 28, 2025
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  6. Add explicit lora_rank arg to deploy scripts

    In case the user changes it from the default value (32) during
    training; since the lora_rank at test time must match the value
    used during train time
    moojink committed Apr 28, 2025
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