<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ollama on Uday K</title><link>https://uday.dev/tags/ollama/</link><description>Recent content in Ollama on Uday K</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 10 Feb 2025 11:15:02 -0400</lastBuildDate><atom:link href="https://uday.dev/tags/ollama/index.xml" rel="self" type="application/rss+xml"/><item><title>Running DeepSeek-R1 Locally with Ollama</title><link>https://uday.dev/posts/deepseek-r1-locally/</link><pubDate>Mon, 10 Feb 2025 11:15:02 -0400</pubDate><guid>https://uday.dev/posts/deepseek-r1-locally/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;&#10;&lt;p&gt;DeepSeek-R1 is an advanced AI model that can be run locally for various natural language processing tasks. DeepSeek has suspended its usage top-up feature recently, and I had to find a way to use it locally in order to work on a side project. I have documented the steps, which resulted in this blog post.&lt;/p&gt;&#10;&lt;p&gt;&lt;img src="https://uday.dev/deepseek-topup-error.png#center" alt="image"&gt;&lt;/p&gt;&#10;&lt;p&gt;In this post, we&amp;rsquo;ll walk through the process of setting up and running DeepSeek-R1 using Ollama, a tool designed for easily managing AI models locally. We will also test the setup using a &lt;code&gt;curl&lt;/code&gt; command to verify its functionality.&lt;/p&gt;</description></item></channel></rss>