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    <title>Open WebUI on akenji&#39;s lab</title>
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      <title>Using LLM based on DeepSeek-R1-Distill-Qwen-14B/32B with additional Japanese language training</title>
      <link>https://akenji3.github.io/en/post/20250128_deepseek-ca/</link>
      <pubDate>Tue, 28 Jan 2025 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;motivation&#34;&gt;Motivation&lt;/h2&gt;&#xA;&lt;p&gt;I have been studying PINNs and related OpenFOAM for a while, but yesterday there was a big news in LLM area and I decided to use Deep Seek-R1 which had an impact not only on LLM area but also on stock prices. Since I could not use it as it is in my environment, I used a compacted LLM with quantization.&lt;/p&gt;&#xA;&lt;p&gt;This time, I used Ollama and Open WebUI to use the quantized model from a browser, and I will summarize the contents.&lt;/p&gt;</description>
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      <title>Conversing with ollama&#39;s LLM via Open WebUI as front end</title>
      <link>https://akenji3.github.io/en/post/20241123_openwebui/</link>
      <pubDate>Sat, 23 Nov 2024 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Yesterday in &lt;a href=&#34;https://akenji3.github.io/en/post/20241122_ollama/&#34;&gt;this post&lt;/a&gt; I summarized launching ollama in a docker container and using LLMs from JupyterLab. In this post, I summarize launching Open WebUI in a container and using it as a front end to connect from a browser at hand to use ollama&amp;rsquo;s LLMs.&lt;/p&gt;</description>
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