Travor278/putcab-mixed-diffusion-train50-10k-e250
AI model by Travor278
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Full official LeRobot policy checkpoint after 10000 optimizer updates from run E250-R001. Weights and normalization tensors are byte-identical to the independently verified training checkpoint. This repository is inference-only; optimizer/data-loader resume state is not included. Dataset: Shiki42/PutCab-Mixed-Train50-V4 at a7e496ffc2fb2f1f13bb8637193e0f7985c2acb6, 50 episodes/14653 frames. Training used the verified v3 conversion with original numerical columns and decoded RGB retained. Batch8, seed87431; precision bf16 autocast, official optimizer/master parameters. See trainconfig.json and provenance.json for the model-specific recipe and exact origins. The historical config field useamp does not replace the recorded trainer mixed-precision setting. Inputs: head, left-wrist and right-wrist RGB (320x240) plus14D commanded joint/gripper state. Outputs: absolute left6 joints+gripper,right6 joints+gripper. No delta conversion or implicit idle-arm masking is added by the upload. Prediction horizon16, executed queue8, denoising steps100; a queue length is not a denoising count. Use official LeRobot0.4.4/source 8fff0fde7c79f23a93d845d1a50e985de01f8b8a with compatible Torch/Transformers. After snapshotdownload("Travor278/putcab-mixed-diffusion-train50-10k-e250", revision=""), import the included loadpolicy.py and call loadpolicy(snapshotdir, device="cpu") (or cuda). It…
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Model overview
Travor278/putcab-mixed-diffusion-train50-10k-e250 is a task-unspecified model repository published by Travor278 on Hugging Face. A library was not reported.
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- Created
- 2026-09-18T06:21:19.000Z
- Last modified
- 2026-09-18T06:21:19.000Z
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