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Français(FR) Best model you can run on a 16gb phone?

16GB内存上的LLM性能:讨论Qwen 3.5 9B

r/LocalLLaMA子版块的用户正在讨论哪些大型语言模型可以在配备16GB内存的设备上有效运行,并特别提到Qwen 3.5 9B模型可能是一个候选模型。讨论的重点是如何在有限的硬件上优化模型性能。 AI

影响 这次讨论凸显了在消费级硬件上部署大型语言模型的持续挑战,表明需要更高效的模型架构。

排序理由 用户在子版块上讨论在有限硬件上运行LLM。

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 →

16GB内存上的LLM性能:讨论Qwen 3.5 9B

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
用户在子版块上讨论在有限硬件上运行LLM。
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
46 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]

  1. r/LocalLLaMA TIER_1 Français(FR) · /u/ikkiyikki ·

    16GB手机上能运行的最佳模型?

    <!-- SC_OFF --><div class="md"><p>Qwen 3.5 9B q6? </p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/ikkiyikki"> /u/ikkiyikki </a> <br /> <span><a href="https://www.reddit.com/r/LocalLLaMA/comments/1vw3g70/best_model_you_can_run_on_a_16gb_phon…