Multi-head latent attention is an attention architecture that represents key and value information through a compressed latent space while retaining multiple attention heads. The design aims to reduce key-value cache size and memory bandwidth requirements.
Efficient execution depends on kernels tailored to the architecture and target hardware. A capable chip may underperform if its software stack lacks an implementation optimized for the model’s exact attention operations.
