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climba/
VideoGen-LLM-Wan-REPA-adapters

Name: VideoGen-LLM-Wan-REPA-adapters
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VideoGen-LLM Wan-REPA Adapter Checkpoints

Selected VideoChat2-HD adapter checkpoints from Wan-REPA video understanding experiments.

These are not full base models. They are adapter checkpoints produced by experiments/videochat2_hd_wan_repa_finetune.py and require the corresponding VideoChat2-HD/Mistral setup used in the repository.

Included Checkpoints

Directory	Setting	Result
`eq_seed127_lambda0p1/`	Equivariance Wan-REPA, seed 127, lambda 0.1	49/96 on 5-fold MotionBench subset
`eq_seed123_lambda0p1/`	Equivariance Wan-REPA, seed 123, lambda 0.1	46/96 on 5-fold MotionBench subset
`relation_only/`	Wan temporal relation alignment, seed 123	46/96 on 5-fold MotionBench subset

Notes

The full local workspace is on GitHub: https://github.com/gustn9609/VideoGen-LLM
Base model weights, HDF5 feature caches, and raw videos are not included here.
The later negative-control and larger-set experiments showed that the Wan-specific gain is weak in the current setup. See final_summary.md for the full interpretation.

Files

adapter_checkpoint.pt: fold-wise adapter/repa-head checkpoint
finetune_eval.md: evaluation table for that checkpoint
sweep_summary.md: seed/lambda robustness summary
final_summary.md: final experiment conclusion

climba/VideoGen-LLM-Wan-REPA-adapters

VideoGen-LLM Wan-REPA Adapter Checkpoints

Included Checkpoints

Notes

Files

climba/
VideoGen-LLM-Wan-REPA-adapters