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runs/vla0_gorgeous_30hz_merged_v2v3_qwen35_2b_8gpuVLA-0 codebase in an environment aligned to lerobot==0.5.1.model_last/
save_pretrained export for the Qwen3.5-2B-based VLA-0 model.config.yaml
rv_train.train.get_pretrained_model.dataset_stats.pkl
model_last.pth
model_last/model.safetensors.model_last.pth.pth file is very large because it also stores optimizer and scheduler state. For inference with VLA-0, the model weights are loaded from model_last/, while model_last.pth is only used as a compatibility entrypoint by the current loader.ROBOVERSE_DEPLOY_CHECKPOINT=/path/to/this-repo/model_last.pth python rv_train/deploy/service.py1from transformers import AutoModelForImageTextToText, AutoProcessor
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3model = AutoModelForImageTextToText.from_pretrained("/path/to/this-repo/model_last")
4processor = AutoProcessor.from_pretrained("/path/to/this-repo/model_last")Qwen/Qwen3.5-2Blerobot==0.5.12026-04-19CC BY-NC 4.0Qwen/Qwen3.5-2Bmodel_52/ and model_52.pth were added on 2026-04-20.model_last is kept separately and is not identical to model_52 in the current run state.