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Deutsch(DE) V620 Qwen 27B & Gemma A4B benchmarks

Qwen 27B vs Gemma A4B：LocalLLaMA 基准测试揭示性能差异

作者 PulseAugur 编辑部 · [1 个来源] ·

一位 r/LocalLLaMA 用户分享了使用 llama.cpp 在 Windows 11 上通过 Vulkan 和 ROCm 对 Qwen 27B 和 Gemma A4B 模型进行的基准测试。用户验证的基准测试在各种上下文长度下测试了性能，Gemma A4B 通常显示出每秒更高的处理能力，尤其是在更长的上下文窗口下。然而，Qwen 模型在测试的最大上下文大小下使用 Vulkan 表现出更好的性能。 AI

影响 为本地部署的开源模型性能提供了见解，帮助用户选择合适的硬件和模型配置。

排序理由 用户生成的开源模型基准测试。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Qwen 27B vs Gemma A4B：LocalLLaMA 基准测试揭示性能差异

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Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
用户生成的开源模型基准测试。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
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47 days old
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报道来源 [1]

  1. r/LocalLLaMA TIER_1 Deutsch(DE) · /u/Brave_Load7620 ·

    V620 Qwen 27B & Gemma A4B 性能测试

    <!-- SC_OFF --><div class="md"><p>I'm here to show some benchmarks while using llama cpp with an AMD V620 on Windows 11 via Vulkan &amp; ROCM. </p> <p>The benchmarks were written out by AI, but are verified by myself to be correct. Still working on optimizing my flags/settings.</…

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