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ISTA GSQ-RCO Q2_0

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Headlines · 1

  1. Splash Fork Streams Qwen Experts From SSD for Faster Mac Decoding

    In a report on r/LocalLLaMA, a user said an approximately 800-line Splash 1.4.0 fork running Qwen3.8-Flash-Next at ISTA GSQ-RCO Q2_0 achieved 48.8 tokens per second on a 24GB M5 MacBook Air by streaming nonresident experts from SSD. The configuration kept 6,800 of 24,576 expert slots in about 8.8GB, reported 256K context support, and delivered about 45 tokens per second in pi agent use. Cache-aware routing reportedly halved SSD reads, while desk-first overlap produced token-for-token identical output in the poster’s 11-case gate test.

    r/LocalLLaMA · 🔥 0

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