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English(EN) I'm actually a bit mind blown, how some of the local models on LLM bionic doesn't support my laptop's architecture?

高配置笔记本因架构错误难以运行本地LLM

Reddit的r/LocalLLaMA板块的一位用户在运行本地大型语言模型(LLM)时遇到了困难。尽管拥有64GB内存、RTX 5090 GPU和i9 Ultra处理器,用户在尝试加载Llama 3.2 11B Vision和Qwen Image Edit 2511 Uncensored模型时遇到了“未知模型架构:‘mllama’”的错误。他们正在寻找具有图像编辑、生成和视频功能,并且可以在本地运行,同时与他们的系统兼容的模型,并倾向于使用LLM Studio之类的GUI。 AI

影响 用户兼容性问题凸显了本地LLM部署和架构标准化方面持续存在的挑战。

排序理由 用户遇到特定软件产品的技术问题。

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 →

高配置笔记本因架构错误难以运行本地LLM

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  1. r/LocalLLaMA TIER_1 English(EN) · /u/Alternative-Track654 ·

    我简直惊呆了,为什么LLM bionic上的一些本地模型不支持我笔记本的架构?

    <!-- SC_OFF --><div class="md"><p>So, to keep it short. I downloaded 2 llm's llama 3.2 11B Vision and Qwen Image Edit 2511 Uncensored. Both coming back with the same errors, after loading them when starting a new chat:</p> <p>Error</p> <p>Failed to load model.</p> <p>error loadin…