community Reddit LocalLLaMA 2026-10-22T13:34 正文 thin 0 words

capy-flash v0.7.1: Qwen3.8-Flash-Next (125B MoE) now runs in 64 GB of RAM (234 tok/s on two 16 GB cards), and Qwen3.8-27B 3-bit fits on a single 16 GB card (174 tok/s)

英文标题:capy-flash v0.7.1: Qwen3.8-Flash-Next (125B MoE) now runs in 64 GB of RAM (234 tok/s on two 16 GB cards), and Qwen3.8-27B 3-bit fits on a single 16 GB card (174 tok/s)

I've been building capy-flash, an open-source inference engine for running Qwen3.8-Flash-Next (125B MoE) and Qwen3.8-27B on consumer RTX 50 cards. Until now it needed my setup (two 16 GB cards and 96 GB of RAM) or better. v0.7 is about smaller machines: start with what you have, add a second card la
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中文

I've been building capy-flash, an open-source inference engine for running Qwen3.8-Flash-Next (125B MoE) and Qwen3.8-27B on consumer RTX 50 cards. Until now it needed my setup (two 16 GB cards and 96 GB of RAM) or better. v0.7 is about smaller machines: start with what you have, add a second card la

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English / 原文

I've been building capy-flash, an open-source inference engine for running Qwen3.8-Flash-Next (125B MoE) and Qwen3.8-27B on consumer RTX 50 cards. Until now it needed my setup (two 16 GB cards and 96 GB of RAM) or better. v0.7 is about smaller machines: start with what you have, add a second card la