Understanding and Coding the KV Cache in LLMs from Scratch
SMRTR summary
Key-Value (KV) caches significantly speed up text generation in large language models by storing and reusing intermediate computations. This technique avoids redundant calculations during inference, resulting in substantial performance gains. KV caches offer a 5x speedup for a small 124M parameter model generating 200 tokens, with even greater benefits for larger models and longer sequences.
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