Serve Qwen3.8-Flash-Next (HF model_type qwen4_exp) text-only: 36 GDN +
12 QSA compressed-sparse attention layers on 4 hyper-connection residual
streams, a PLE n-gram embedding layer backed by a 47.7 GiB pinned-host
table with UVA gather, and 512 NVFP4 / block-fp8 routed experts (top-10)
plus a gated shared expert.
- attention: qsa_sparse backend (AttnType.QSA) over QSAKVCache -- paged
GQA K/V, a 1/ratio compressed index-key slab shadowing the KV pages,
and a per-request pending ring sized from index_ratio
- kvcache: declarative slot-sibling states (ModelConfig.slot_states) on
LinearStatePool carry the PLE conv history and n-gram context through
the hybrid-radix snapshot/COW lifecycle
- scheduler: hybrid prefill chunks align to the page size so snapshots
land on donatable boundaries
- kernels: triton kernels adapted from vLLM/SGLang (hc, qsa, ple gather,
moe router / shared gate) plus an original radix block top-k; int64
row addressing throughout
- moe: non-power-of-2 top-k router, deep-K marlin decode config, one
fp8 scale-bank padding rule shared with the AOT row table
- engine: the PLE table load reserves its pinned bytes from the pin
budget before the expert banks plan their residency
Xiaoze Fan
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