How does context window length affect local AI performance on consumer hardware?
Context window length significantly impacts performance in two ways: it increases memory usage as the model has to process more tokens, and it slows down generation speed. As conversation history grows longer, the model must process more tokens with each interaction, consuming more memory and compute resources, which progressively slows everything down.