English(EN) Extracting MoE experts from Kimi K3

用户探讨从 Kimi K3 模型中提取 MoE 专家

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-29 23:09

在 r/LocalLLaMA 子版块上，一位用户正在询问从 Kimi K3 模型中提取混合专家（MoE）组件的可能性。用户提到了 REAP 作为专家提取工具，并表达了运行更大 Kimi 模型的愿望，但他们不确定其潜在效果。讨论还触及了模型中针对不同任务的专门专家（specialized experts）的潜力。 AI

影响讨论探讨了专门模型组件的潜力，但未提供新功能。

排序理由用户讨论提取模型组件，而非主要发布或研究。

在 r/LocalLLaMA 阅读 →

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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: Commentary; 用户讨论提取模型组件，而非主要发布或研究。
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: model release; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 81 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]

r/LocalLLaMA TIER_1 English(EN) · /u/StableDiffer · 2026-07-29 23:09

从 Kimi K3 中提取 MoE 专家

<div class="md"><p>Has anyone yet tried to extract experts from kimi (or GLM 5.2) per chance? There is REAP that removes experts based on routing, but I could only run one K3 expert on my hardware. Could there maybe be a usual expert for different tasks? Would be f…

本文如何被排名

报道来源 [1]

从 Kimi K3 中提取 MoE 专家

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