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English(EN) Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed from four SSDs https:// github.com/argonautlabsai/delt afin Comments: https:// news.ycombinator.com/item?

Kimi K3 LLM 通过 SSD 流式传输在 MacBook Pro 上运行

一项演示展示了 Kimi K3 大型语言模型在 MacBook Pro 上运行,速度达到每秒 1 个 token。这是通过使用 argonautlabsai 开发的 deltafin 框架,从四个固态硬盘(SSD)流式传输模型来实现的。 AI

影响 展示了通过优化的流式传输技术,在本地消费级硬件上运行大型模型的潜力。

排序理由 通过新颖的流式传输技术在消费级硬件上运行大型语言模型的演示。[lever_c_demoted from research: ic=1 ai=1.0]

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Kimi K3 LLM 通过 SSD 流式传输在 MacBook Pro 上运行

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通过新颖的流式传输技术在消费级硬件上运行大型语言模型的演示。[lever_c_demoted from research: ic=1 ai=1.0]
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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
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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完整方法见我们的编辑标准

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · h4ckernews ·

    Kimi K3 (2.8T) 在 MacBook Pro 上以 1 token/s 运行,通过四个 SSD 流式传输 https:// github.com/argonautlabsai/delt afin Comments: https:// news.ycombinator.com/item?

    Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed from four SSDs https:// github.com/argonautlabsai/delt afin Comments: https:// news.ycombinator.com/item?id=4 9616257 # HackerNews # KimiK3 # MacBookPro # SSD # Streaming # AI # Tech