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User asks how MoE model KV cache scales

A user on Reddit is inquiring about the scaling behavior of the KV cache in Mixture-of-Experts (MoE) models. They understand that MoE models utilize a smaller amount of computation and RAM compared to their total parameter count, but are unsure if the KV cache scales with the active parameters or the total parameters of the model. AI

IMPACT Understanding KV cache scaling is crucial for optimizing inference performance and memory usage of MoE models.

RANK_REASON User question about technical scaling of a model architecture component.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User asks how MoE model KV cache scales

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Hot_Example_4456 ·

    How does the Kv cache of MoEs scale?

    <!-- SC_OFF --><div class="md"><p>I don't really understand how the Kv cache for MoE models scale. </p> <p>So like, if I take an example of a 35ba3b MoE, I know it uses the computation of a 3b+a bit more for routing, and the ram of 35b.</p> <p>But what about the kv cache? Does th…