r/LocalLLaMA 子版块的用户正在寻求解决方案，将 llama-bench 与 MTP 集成，因为适用于 llama-server 的标准方法似乎不起作用。核心问题似乎是兼容性，有人猜测 llama-bench 可能不支持投机解码。 AI
排序理由 Reddit 上的用户生成技术支持问题，并非新闻事件。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
LocalLLaMA 用户寻求将 MTP 集成到 llama-bench
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
- Reddit 上的用户生成技术支持问题，并非新闻事件。
- 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
- 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
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- Story freshness
- 105 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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如何让 llama-bench 与 MTP 协同工作？
<!-- SC_OFF --><div class="md"><p>It does not like anything I have tried, including what works with llama-server. is it not built to work with speculative decoding?</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/jdchmiel"> /u/jdchmiel </a> …