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    <title>qwen3 on My learning and diary</title>
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      <title>Running a Local Reranker with llama.cpp</title>
      <link>https://jackliusr.github.io/posts/2026/07/running-a-local-reranker-with-llama.cpp/</link>
      <pubDate>Thu, 30 Jul 2026 06:00:00 +0800</pubDate>
      
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      <description>Over the past few days, I’ve been using reranker models through cloud APIs as part of my RAG experiments. After successfully running several LLMs locally with llama.cpp, I started wondering:
  Can I also run a reranker model locally?
   The answer is yes.
 It turns out that llama-server can host embedding models, reranker models, and chat models behind the same OpenAI-compatible API. This makes it easy to build a completely local RAG pipeline without relying on external services.</description>
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