Qwen3.8-Flash-Next (48 hybrid layers: gated delta-net, sparse attention with an indexer, a 512-expert top-10 MoE at BF4, plus a PLE n-gram layer) served through vLLM and the Tenstorrent vLLM plugin on 4x p150 (a QuietBox or four p150 cards) or on a QuietBox 2 (2x p300c). One interactive user at a time; contexts of 32k, 64k or 128k tokens; thinking off by default. Updated 2026-09-26: prefill in 2048-row slabs by default (1,990 prompt tokens/s), decode 29.1 tokens/s greedy / 27.4 sampled at batch 1 (fork commit ce5b0f8eb6eb). Runs on 4x p150 (a QuietBox or four p150 cards; profiles c32k, c64k, c128k, c32k-quietbox) and on a QuietBox 2 (2x p300c; the default c32k or c32k-quietbox2) — see the…
Independent publisher
Sam Jett
sjettTT
Open source AI accelerators
Models in Library1
Datasets in Library0
Models on Hugging Face1
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