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Qwen 27B vs Gemma A4B: LocalLLaMA benchmarks reveal performance differences

A user on r/LocalLLaMA shared benchmarks comparing the Qwen 27B and Gemma A4B models using llama.cpp on Windows 11 with Vulkan and ROCm. The benchmarks, verified by the user, tested performance across various context lengths, with Gemma A4B generally showing higher processing power per second, especially at longer context windows. The Qwen model, however, demonstrated better performance with Vulkan at the largest context size tested. AI

IMPACT Provides insights into the performance of open-source models for local deployment, aiding users in selecting appropriate hardware and model configurations.

RANK_REASON User-generated benchmarks for open-source models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Qwen 27B vs Gemma A4B: LocalLLaMA benchmarks reveal performance differences

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User-generated benchmarks for open-source models. [lever_c_demoted from research: ic=1 ai=1.0]
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model release
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High
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47 days old
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Full methodology in our editorial standards.

COVERAGE [1]

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

    V620 Qwen 27B & Gemma A4B benchmarks

    <!-- 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.</…