Release v0.10.2

What's New

• Add support for RSLoRA and DoRA by @arnavgarg1 in #3948
  To enable, set the corresponding flag to true in config (can be used in conjunction):

    adapter:
        type:  lora
        use_rslora:  false
        use_dora: false

• Add support for eval batch size tuning for LLMs on local backend by @arnavgarg1 in #3957
  To enable, set "eval_batch_size" to "auto" in the trainer section:

    trainer:
        eval_batch_size:  auto

• Enable loading model weights from training checkpoint by @geoffreyangus in #3969
  To enable, pass from_checkpoint=True to LudwigModel.load():

LudwigModel.load(model_dir, from_checkpoint=True)

Full Changelog

• Save ludwig-config with model-weights in output directory by @sanjaydasgupta in #3965
• Add unit tests for image utils unet functions by @vijayi1 in #3921
• fix: Update imdb_genre_prediction dataset yaml to match dataset by @jeffreyftang in #3944
• Fix kube apt source by @noyoshi in #3952
• Temporarily disable expensive text metrics by @arnavgarg1 in #3954
• [MAINTENANCE] Comment Out PyTorch Nightly Test by @alexsherstinsky in #3955
• [BUGFIX] Fixing integration test failures. by @alexsherstinsky in #3959
• [MAINTENANCE] Use latest version of psutil library. by @alexsherstinsky in #3956

New Contributors

• @sanjaydasgupta made their first contribution in #3965

Full Changelog: v0.10.1...v0.10.2