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<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>标签：Ollama - 虾膏技术</title><link>http://localhost:18090/tags/ollama</link><atom:link href="http://localhost:18090/tags/ollama/feed/tags/ollama.xml" rel="self" type="application/rss+xml"/><description>从代码到硬件：虾膏技术的多维度技术探索</description><generator>Halo v2.23.2</generator><language>zh-cn</language><image><url>http://localhost:18090/upload/%E7%94%9F%E6%88%90%E6%8A%80%E6%9C%AF%E5%8D%9A%E5%AE%A2%20logo.png</url><title>标签：Ollama - 虾膏技术</title><link>http://localhost:18090/tags/ollama</link></image><lastBuildDate>Wed, 9 Sep 2026 04:20:27 GMT</lastBuildDate><item><title><![CDATA[Ollama 加载gguf模型的两种方式]]></title><link>http://localhost:18090/archives/ollama-jia-zai-ggufmo-xing-de-liang-zhong-fang-shi</link><description><![CDATA[<img src="http://localhost:18090/plugins/feed/assets/telemetry.gif?title=Ollama%20%E5%8A%A0%E8%BD%BDgguf%E6%A8%A1%E5%9E%8B%E7%9A%84%E4%B8%A4%E7%A7%8D%E6%96%B9%E5%BC%8F&amp;url=/archives/ollama-jia-zai-ggufmo-xing-de-liang-zhong-fang-shi" width="1" height="1" alt="" style="opacity:0;">GGUF（GPT-Generated Unified Format）是一种专为大规模机器学习模型设计的二进制文件格式。它通过将原始的大模型预训练结果进行优化后转换而成，具有加载速度快、资源消耗低等优势。GGUF格式支持内存映射技术，使得模型数据可以直接映射到内存中，从而提高了数据处理的效率。此外，G]]></description><guid isPermaLink="false">/archives/ollama-jia-zai-ggufmo-xing-de-liang-zhong-fang-shi</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Sat, 8 Feb 2025 01:07:20 GMT</pubDate></item><item><title><![CDATA[Ollama打造本地AI助手，使用Chatbox接入Deepseek-R1！]]></title><link>http://localhost:18090/archives/ollamada-zao-ben-di-aizhu-shou-shi-yong-chatboxjie-ru-deepseek-r1</link><description><![CDATA[<img src="http://localhost:18090/plugins/feed/assets/telemetry.gif?title=Ollama%E6%89%93%E9%80%A0%E6%9C%AC%E5%9C%B0AI%E5%8A%A9%E6%89%8B%EF%BC%8C%E4%BD%BF%E7%94%A8Chatbox%E6%8E%A5%E5%85%A5Deepseek-R1%EF%BC%81&amp;url=/archives/ollamada-zao-ben-di-aizhu-shou-shi-yong-chatboxjie-ru-deepseek-r1" width="1" height="1" alt="" style="opacity:0;">Chatbox AI 是一款 AI 客户端应用和智能助手，支持众多先进的 AI 模型和 API，可在 Windows、MacOS、Android、iOS、Linux 和网页版上使用，通过使用ollama本地化部署模型接口，可以完全本地化运行。 1.下载Chatbox进行安装后启动： https://]]></description><guid isPermaLink="false">/archives/ollamada-zao-ben-di-aizhu-shou-shi-yong-chatboxjie-ru-deepseek-r1</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Tue, 4 Feb 2025 13:00:50 GMT</pubDate></item><item><title><![CDATA[Ollama如何在8845hs+32g+780m集显部署deepseek-r1 32b]]></title><link>http://localhost:18090/archives/ollamaru-he-zai-8845hs-32g-780mji-xian-bu-shu-deepseek-r1-32b</link><description><![CDATA[<img src="http://localhost:18090/plugins/feed/assets/telemetry.gif?title=Ollama%E5%A6%82%E4%BD%95%E5%9C%A88845hs%2B32g%2B780m%E9%9B%86%E6%98%BE%E9%83%A8%E7%BD%B2deepseek-r1%2032b&amp;url=/archives/ollamaru-he-zai-8845hs-32g-780mji-xian-bu-shu-deepseek-r1-32b" width="1" height="1" alt="" style="opacity:0;">Ollama 是一个轻量级的开源AI代理运行时，得益于AMD的开源态度，通过相关项目可以支持APU进行部署模型，降低能耗，实测8845hs+32G极限可以部署Deepseek-r1 32b（PS：速度略慢，推荐14b）。 按照以下步骤操作： 下载ollama for amd : https://gi]]></description><guid isPermaLink="false">/archives/ollamaru-he-zai-8845hs-32g-780mji-xian-bu-shu-deepseek-r1-32b</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Tue, 4 Feb 2025 06:49:54 GMT</pubDate></item><item><title><![CDATA[Windows 下使用 Ollama 部署 DeepSeek-R1 的快速指南]]></title><link>http://localhost:18090/archives/windows-xia-shi-yong-ollama-bu-shu-deepseek-r1-de-kuai-su-zhi-nan</link><description><![CDATA[<img src="http://localhost:18090/plugins/feed/assets/telemetry.gif?title=Windows%20%E4%B8%8B%E4%BD%BF%E7%94%A8%20Ollama%20%E9%83%A8%E7%BD%B2%20DeepSeek-R1%20%E7%9A%84%E5%BF%AB%E9%80%9F%E6%8C%87%E5%8D%97&amp;url=/archives/windows-xia-shi-yong-ollama-bu-shu-deepseek-r1-de-kuai-su-zhi-nan" width="1" height="1" alt="" style="opacity:0;">Ollama 是一个轻量级的 AI 代理运行时，支持多种模型，包括 DeepSeek-R1。通过 Ollama，开发者可以轻松在本地或云端部署和管理 AI 模型。 按照以下步骤操作： 下载 Ollama： https://github.com/ollama-ai/ollama/releases 安装]]></description><guid isPermaLink="false">/archives/windows-xia-shi-yong-ollama-bu-shu-deepseek-r1-de-kuai-su-zhi-nan</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Mon, 3 Feb 2025 07:34:59 GMT</pubDate></item></channel></rss>