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LLMS EXPLAINED · 0348 LAYERS · 3 LINEAR : 1 SPARSE1/9TRAINING FLOPS
llms-explainedqwenmoe

Qwen3.8-Flash-Next, Layer by Layer

Qwen's preview of its next architecture, piece by piece: linear and sparse attention, a gated four-branch residual, 512 experts and an n-gram memory, and what each costs to serve.

by The Serving Stack

Inference Notes

Once a week: what changed in serving AI models, and what it means if you build, run or pay for them, in about five minutes.

The Serving Stack

Inference Engineering, In Depth

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