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English(EN) Real question for people running open models on a Macbook: Qwen3.8-Flash-Next, Qwen 35B, dense 27B ? Or maybe Nemotron Bolt?

MacBook用户讨论本地AI推理的最佳开源模型

作者 PulseAugur 编辑部 · [1 个来源] ·

一位Reddit r/LocalLLaMA社区的用户正在寻求适合在MacBook上运行的开源模型推荐，具体询问了Qwen3.8-Flash-Next、Qwen 35B、dense 27B和Nemotron Bolt。该用户正在开发一个旨在优化Apple Silicon芯片上模型推理的开源项目，并想了解哪些模型在本地使用中最受欢迎。他们已经在M4 Pro上实现了Qwen 35B和27B模型的最新性能。 AI

影响 为Apple Silicon硬件上的本地AI开发提供了热门开源模型的见解。

排序理由 用户讨论在特定硬件上本地推理的模型性能。

在 r/LocalLLaMA 阅读 →

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

MacBook用户讨论本地AI推理的最佳开源模型

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
用户讨论在特定硬件上本地推理的模型性能。
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
product, infra
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
2 days old
Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/DotaMate ·

    Real question for people running open models on a Macbook: Qwen3.8-Flash-Next, Qwen 35B, dense 27B ? Or maybe Nemotron Bolt?

    <!-- SC_OFF --><div class="md"><p>I keep coming back to the 27B for coding. Curious if I'm the only one. </p> <p>I kinda want to know the most popular models for local inference, im working on an open source (Apache 2.0) project and it would be nice to know which models on for Ap…

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