KV Cache from scratch in nanoVLM

This blog post explains the implementation of KV caching from scratch in the nanoVLM repository, a small pure PyTorch codebase for training Vision Language Models. It reports a 38% speedup in generation and discusses the theory behind KV caching and its practical application.

From the source
We have implemented KV Caching from scratch in our nanoVLM repository (a small codebase to train your own Vision Language Model with pure PyTorch). This gave us a 38% speedup in generation.
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Announced: 04 Jun 2025 00:00 UTC
Detected: 03 Aug 2026 21:12 UTC (+425d after)

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