Building GPT-2 KV Cache from Scratch and Measuring Performance

A developer implemented a KV cache for GPT-2 small from scratch in PyTorch and measured latency and memory. At context length 1000, caching reduced per-token time from 29.69 ms to 4.95 ms, and generating 1016 tokens from 14.66 s to 5.03 s. Cached and uncached greedy generation matched over 200 tokens.

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