TLDR Tech / Practical
LLMs Cut Tokens: 8 Ways Attention Mechanisms Are Optimized
This analysis explores eight attention design variations adopted by open-source models from Alibaba, Moonshot, DeepSeek, and Z.AI. These designs replace full attention in many or all layers, reducing the memory and computational demands of the KV cache. By examining configuration files and testing three 30-billion parameter models, the author demonstrates how these hybrid architectures achieve substantial speed and memory improvements at the cost of some accuracy in full-context retrieval and deterministic output.
Read the full story