Commit History
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Update Dita training configuration and bundled runtime to 2.1.0
Verified signatureEnable full-backbone fine-tuning and inference checkpoint bypass; add native LoRA support. Align optimizer groups and the warmup/cosine schedule with the upstream LIBERO recipe, including LIBERO-Long's higher learning rate. Preserve all model weights and processors. Bundle the tested 2.1.0 wheel, source hashes, validation reports, and archived 2.0.1 metadata.40690c3
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Use policy.dtype as the sole precision setting (Dita 2.0.1)
Verified signatureRemove use_amp from model config.json and publish the validated 2.0.1 runtime. The inherited LeRobot flag is derived internally from dtype. Model weights, processor files, statistics and gripper modes are unchanged.5a61b42 -
Add binary/continuous gripper modes with DITA runtime 2.0.0
Verified signatureUpdate policy/processor configs, runtime wheel, documentation and real-data validation. Preserve model weights and LIBERO statistic tensors.3828ef7