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README.md
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---
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license: other
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tags:
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- robotics
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- video-generation
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- imitation-learning
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- action-generation
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- wan
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- vam
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- robotwin
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base_model: Wan-AI/Wan2.2-TI2V-5B
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library_name: pytorch
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---
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# vam-robotwin-v2-no-ref-100k
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RobotWin VAM ICL 100k checkpoint.
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- Variant: `v2_no_ref`
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- Training run: `src/vam/models/train/vam_icl/paired_v3_alltasks_mv_mot_ti2v5b_16g_100k_v2_no_ref`
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- Checkpoint: `step-100000.safetensors`
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- SHA256: `b3f02bb361f0a4e58cf6cc8670d8bd99f718ab16eed24e5ea3940693c7ec21e9`
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- Size: `11540901861` bytes
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- Base model: `Wan-AI/Wan2.2-TI2V-5B`
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This repository contains only the trained checkpoint and lightweight metadata. The Wan2.2-TI2V-5B base model is not included.
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