mosaichunk/RememBench
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Learned memory-router checkpoints for MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressive Video Generation.
Project page · Paper · Code · RememBench
| Checkpoint | Backbone |
|---|---|
t2v/model.safetensors |
RAVEN-adapted MiniMax-H3 (H3-AR) |
i2v/model.safetensors |
LingBot-World-Infinity |
Each folder contains router weights and config.json. The weights are exported without changing tensor values; optimizer and training state are excluded.
These checkpoints require their corresponding frozen video backbone. T2V also requires the pretrained RAVEN streaming adapter. Backbone and adapter weights are not bundled here.
from huggingface_hub import snapshot_download
snapshot_download("mosaichunk/MosaiChunk", local_dir="checkpoints/MosaiChunk")
See the code repository for training and inference.
The release license is pending. Backbone and streaming-adapter weights retain their respective licenses.