English(EN) LFM3-Omni-2B running fully offline on my iPhone 18 Pro Max at ~80 tok/s, powered by custom WebGPU kernels in a React Native app.

LFM3-Omni-2B 模型在 iPhone 18 Pro Max 上离线运行

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-04 17:08

一位用户已成功在 iPhone 18 Pro Max 上离线运行了 LFM3-Omni-2B 语言模型，速度约为每秒 80 个 token。这是通过将自定义 WebGPU 内核集成到 React Native 应用程序中实现的，证明了在移动设备上运行复杂 AI 模型的可行性。 AI

影响展示了在移动设备上直接运行高级 AI 模型的潜力，提高了可访问性和离线能力。

排序理由用户演示在消费设备上运行特定模型。

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

本文如何被排名

Signal score: 10 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户演示在消费设备上运行特定模型。
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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

r/LocalLLaMA TIER_1 English(EN) · /u/xenovatech · 2026-11-04 17:08

LFM3-Omni-2B 在 React Native 应用中，通过自定义 WebGPU 内核，在我的 iPhone 18 Pro Max 上完全离线运行，速度约为 80 token/秒。

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xntou1/lfm3omni2b_running_fully_offline_on_my_iphone_18/"> <img alt="LFM3-Omni-2B running fully offline on my iPhone 18 Pro Max at ~80 tok/s, powered by custom WebGPU kernels in a React Native app." src="http…