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capy-flash engine v0.7.4 optimizes Qwen3.8 models for dual-GPU setups

The capy-flash engine, a fork of NInfer, has been updated to version 0.7.4, offering enhanced performance for Qwen3.8 models on dual-GPU setups. It is specifically optimized for NVFP4 quantization and can run on various configurations, including single GPUs or mixed pairs. While not aiming to outperform single-card engines like NInfer or Strata, capy-flash provides competitive speeds, particularly for its Qwen3.8-Flash-Next model, and offers a clear advantage over Strata when using NVFP4 weights on two GPUs. AI

IMPACT Offers improved performance for specific Qwen3.8 model configurations on dual-GPU systems, benefiting users with compatible hardware.

RANK_REASON This is an update to a specific open-source engine for running LLMs, not a release from a frontier lab or a major industry event.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

capy-flash engine v0.7.4 optimizes Qwen3.8 models for dual-GPU setups

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This is an update to a specific open-source engine for running LLMs, not a release from a frontier lab or a major industry event.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/FeydRowan ·

    capy-flash v0.7.4: where my two-GPU Qwen3.8 engine is now, what it isn't for, and where it's going

    <!-- SC_OFF --><div class="md"><p>It's been a few releases since my last post, so here is where <a href="https://github.com/ValerioDolci/capy-flash">capy-flash</a> is now. It's my own engine for two models, Qwen3.8-27B and Qwen3.8-Flash-Next. It started as my ninfer-tp2 fork of N…