ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding

Hybrid models interleave state space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi K3, and GLM 5.3 Flash are...

Michelle Horton ۱ دقیقه مطالعهمتن اصلی

A cube assembled from smaller dark blocks, with glowing cyan, pink, yellow, and green sections against a black background.Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and GLM-5.3-Flash are...A cube assembled from smaller dark blocks, with glowing cyan, pink, yellow, and green sections against a black background.

Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and GLM-5.3-Flash are all built this way, with Mamba-2, Gated DeltaNet (GDN), or Kimi Delta Attention (KDA) as the SSM layer. SSM layers are designed to make decoding fast: they use a fixed-size state in place of a key-value (KV) cache that grows with…

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