Online Vector Quantized Attention (OVQ)
### TL;DR
OVQ is a novel sequence mixing layer developed by Zyphra that aims to balance memory-compute costs and long-context capabilities more effectively than standard sequence mixing layers. It utilizes a sparse memory update to significantly increase memory state size while maintaining efficient training and inference characteristics.
Key Insights & Metrics
Key Features
- Linear compute and constant memory complexity
- Sparse memory update for increased memory capacity
- Competitive performance on long-context tasks
- Efficient training and inference
- Theoretical basis grounded in Gaussian mixture regression
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