zhengjingxie/focus-vlwa
AI model by zhengjingxie
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This checkpoint supports headhistory inference for RoboDojo arxx5 joint-action evaluation. It uses 20 full head-camera history frames, a 14-value joint observation, 32 internal action dimensions, and a 50-action prediction horizon. Keep the following files together: This inference package excludes training metadata and optimizer state. The PaliGemma tokenizer is resolved separately; provide tokenizerpath for offline evaluation. Install the matching Focus-VLWA code and its Transformers patch. Use this directory as the checkpoint path: For local inference, construct FocusVLWAPolicy(checkpointpath, assetid="arxx5sim", numsteps=10). For XPolicyLab/policy/FocusVLWA, pass "$CHECKPOINT" as the checkpoint argument and…
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Model overview
zhengjingxie/focus-vlwa is a task-unspecified model repository published by zhengjingxie on Hugging Face. A library was not reported.
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Model facts
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- Recent downloads (30 days)
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- License
- apache-2.0
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- Not gated by Hugging Face
- Created
- 2026-09-24T06:32:08.000Z
- Last modified
- 2026-09-24T06:32:08.000Z
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Source: Hugging Face Hub. Metadata observed 2026-09-24T06:37:32.927Z. Daily imports are snapshots, not real-time monitoring.
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