Upload AP338 100k pretrained weights

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+complete

README.md

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+---
+tags:
+- robotics
+- robot-learning
+- imitation-learning
+- safetensors
+---
+
+# AP338 100k pretrained weights
+
+AP338 robot-pretraining weights for initializing the historical Awomo action-patch RoboTwin SFT runtime. This is a **weights-only warm start**, not a complete training-resume checkpoint.
+
+- `model/`: 128 distributed safetensors shards; `.complete`: checkpoint marker.
+- Action/state interface: 80D. The training adapter selects 14 valid RoboTwin slots.
+- Training requires the matching historical NeMo runtime and the FLUX.2, VAE and Qwen3-VL model assets separately. The shards require its distributed Hugging Face checkpoint reader.
+- Optimizer, scheduler, EMA and random-state files are not included. Disable training-state, optimizer, scheduler, data-state and EMA restoration when starting SFT.
+
+The prepared checkpoint and RoboTwin data were exercised together in an isolated 8 × H20-3e, batch-1-per-GPU smoke test. Two optimizer steps completed and a new checkpoint was saved. This was not the original 32-GPU training configuration; downstream evaluation is not included.

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