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Qwen3.8-Flash-Next on 2× RTX 3090: with 128 GB RAM up to 4,191 tok/s prefill · 111.5 tok/s decode (131K prompt), full 256K window at 2,865 tok/s; with 64 GB RAM 3,410 tok/s prefill · 84 tok/s decode. New: opt-in uncensored mode (runtime abliteration, no new weights).
Updated
Oct 2, 2026
Python
Qwen3.8-Flash-Next 177B MoE (ISTA GSQ-RCO IQ3_XXS) self-hosted on RTX 5090 Laptop (24GB VRAM + 64GB RAM) via Strata: up to 110 tok/s (100+ sustained), 256K full context, vision, MTP speculative decoding, reasoning default xhigh (max tier). GPU+CPU both saturated. 26 measured rounds, 7 quant tiers screened. 中英双语实测实录
Updated
Oct 5, 2026
Python
QSA HiSparse as an SGLang plugin: 256K CPU KV offload and text/image host prefix reuse for Qwen Sparse Attention on unmodified SGLang
Updated
Oct 9, 2026
Python
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