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    <title>LocalAgentBoard News</title>
    <link>https://localagentboard.com/news/</link>
    <description>Which local models actually work with Hermes Agent, tested on real hardware.</description>
    <language>en</language>
    <item>
      <title>Best local LLM for Hermes Agent: best overall, fastest and best for small machines</title>
      <link>https://localagentboard.com/news/best-local-llm-for-hermes-agent-top-picks/</link>
      <guid>https://localagentboard.com/news/best-local-llm-for-hermes-agent-top-picks/</guid>
      <pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate>
      <description>Which local model should you run Hermes Agent on? Measured picks from 16 tested setups on a DGX Spark: best overall, fastest reliable and best for 16–24 GB machines, with scores, speed and memory.</description>
    </item>
    <item>
      <title>Hermes Agent v0.22.5 retest: how 12 local models changed after the upgrade</title>
      <link>https://localagentboard.com/news/hermes-agent-v0-22-5-retest-local-models/</link>
      <guid>https://localagentboard.com/news/hermes-agent-v0-22-5-retest-local-models/</guid>
      <pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate>
      <description>We reran our llama.cpp setups on Hermes Agent v0.22.5. Most scores moved by 2 points or less, within normal noise. Old vs new scores for every setup, and which ones are under review.</description>
    </item>
    <item>
      <title>LocalAgentBoard launches: a tested leaderboard of local models for Hermes Agent</title>
      <link>https://localagentboard.com/news/localagentboard-launch-local-hermes-agent-leaderboard/</link>
      <guid>https://localagentboard.com/news/localagentboard-launch-local-hermes-agent-leaderboard/</guid>
      <pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate>
      <description>LocalAgentBoard is an independent leaderboard that tests which local LLMs, quants and engines actually complete Hermes Agent tasks, measured on an NVIDIA DGX Spark. 16 setups tested so far.</description>
    </item>
    <item>
      <title>Q4 vs Q8 for local agents: does quantization hurt Hermes Agent scores?</title>
      <link>https://localagentboard.com/news/q4-vs-q8-quantization-local-agent-benchmark/</link>
      <guid>https://localagentboard.com/news/q4-vs-q8-quantization-local-agent-benchmark/</guid>
      <pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate>
      <description>We tested Gemma 4 26B, Qwen3.6-35B-A3B and Nemotron-Cascade-2-30B at Q4, Q6 and Q8 on the same Hermes Agent tasks. Q4 scored within noise of Q8 while using much less memory and running faster.</description>
    </item>
    <item>
      <title>Why ±2 points is a tie: reading local LLM agent benchmark scores</title>
      <link>https://localagentboard.com/news/why-2-points-is-a-tie-local-llm-agent-benchmark/</link>
      <guid>https://localagentboard.com/news/why-2-points-is-a-tie-local-llm-agent-benchmark/</guid>
      <pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate>
      <description>The same local model can score 27, 30 and 28 out of 30 on identical agent tasks. Why LocalAgentBoard treats gaps of 2 points or less as a tie, and why Best overall is picked by speed within the top group.</description>
    </item>
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