Reddit r/LocalLLaMA 版块的一位用户正在寻求有关如何防止 llama.cpp 软件将其 KV 缓存卸载到交换内存的建议。尽管使用了特定标志，但用户在 RAM 使用量接近 96GB 时仍会发生卸载，即使仍有部分容量可用。他们正在寻找更激进的方法来确保仅在 RAM 几乎耗尽时才发生卸载。 AI
排序理由 这是 Reddit 上的用户支持问题，并非重要的行业事件。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
用户寻求防止 llama.cpp 交换 KV 缓存
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 这是 Reddit 上的用户支持问题，并非重要的行业事件。
- Source corroboration
- Single-source cluster
- 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
- infra, other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- 76 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
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如何防止 llama.cpp 在 Swap 上卸载？
<!-- SC_OFF --><div class="md"><p>I have tried preventing this issue by using llama.cpp flags. However, I still have the issue: whenever I'm close to my 96GB of RAM, llama-server / llama.cpp decides to offload the KV cache onto my swap. This usually happens when I'm at 91-92GB of…