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English(EN) llama.cpp v0.7.0 New GPU cache for host-memory MoE experts via the --moe-cache-mib option, with experts run on the GPU from an LRU cache for up to 2.2x faster d

llama.cpp v0.7.0 增强 GPU 缓存以加速 MoE 专家推理

作者 PulseAugur 编辑部 · [1 个来源] ·

llama.cpp 的最新版本 v0.7.0 引入了新的 GPU 缓存，用于混合专家（MoE）模型。此功能可通过 --moe-cache-mib 选项访问，允许专家从 LRU 缓存中运行在 GPU 上，可能使解码速度加倍。此外，专家缓存现在可以在多个 GPU 之间共享，从而提高多 GPU 设置的性能。 AI

影响 提高消费级硬件上 MoE 模型的推理速度和效率。

排序理由 发布了一个具有性能改进的开源推理库的新版本。[lever_c_demoted from research: ic=1 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

llama.cpp v0.7.0 增强 GPU 缓存以加速 MoE 专家推理

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13 / 100
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Tool
发布了一个具有性能改进的开源推理库的新版本。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
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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, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · whatsnew_fyi ·

    llama.cpp v0.7.0 New GPU cache for host-memory MoE experts via the --moe-cache-mib option, with experts run on the GPU from an LRU cache for up to 2.2x faster d

    llama.cpp v0.7.0 New GPU cache for host-memory MoE experts via the --moe-cache-mib option, with experts run on the GPU from an LRU cache for up to 2.2x faster decode; Expert cache is now shared across multiple GPUs; LiliCorr speculative decoding with candidate selection using a s…

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