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2.6 KiB
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48 lines
No EOL
2.6 KiB
HTML
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<html lang="en">
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<title>llm - Alexis Métaireau</title>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="stylesheet" href="https://blog.notmyidea.org/theme/css/main.css" type="text/css" />
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<link href="https://blog.notmyidea.org/feeds/all.atom.xml" type="application/atom+xml" rel="alternate"
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title="Alexis Métaireau ATOM Feed" />
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<section id="links">
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<li><a class="main" href="/">Alexis Métaireau</a></li>
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<li><a class=""
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href="https://blog.notmyidea.org/journal/index.html">Journal</a></li>
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<li><a class=""
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href="https://blog.notmyidea.org/code/">Code, etc.</a></li>
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<li><a class=""
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href="https://blog.notmyidea.org/weeknotes/">Notes hebdo</a></li>
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<li><a class=""
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href="https://blog.notmyidea.org/lectures/">Lectures</a></li>
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</section>
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<h1>Posts with #llm tag</h1>
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<section class="section index">
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<time datetime="2023-09-27T00:00:00+02:00">27 septembre 2023</time>
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<a class='tag' href="https://blog.notmyidea.org/tag/python.html">python</a>, <a class='tag' href="https://blog.notmyidea.org/tag/llm.html">llm</a>, <a class='tag' href="https://blog.notmyidea.org/tag/bash.html">bash</a>, <a class='tag' href="https://blog.notmyidea.org/tag/sqlite.html">sqlite</a> <h1><a href="https://blog.notmyidea.org/llm-command-line-tips.html" id="page-title">llm command-line tips</a></h1>
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<p>I’m using <a href="https://llm.datasette.io">llm</a> more and more, and today I had to find back prompts I used in the past. Here is a command I’ve been using, which allows me to filter the results based on what I want. It leverages <a href="https://sqlutils.datasette.io">sql-utils</a>, a cli tool which is able to …</p>
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</section>
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<section class="section index">
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<time datetime="2023-09-22T00:00:00+02:00">22 septembre 2023</time>
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<a class='tag' href="https://blog.notmyidea.org/tag/llm.html">llm</a> <h1><a href="https://blog.notmyidea.org/how-to-run-the-vigogne-model-locally.html" id="page-title">How to run the vigogne model locally</a></h1>
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<p><a href="https://github.com/bofenghuang/vigogne">Vigogne</a> is a <span class="caps">LLM</span> model based on <span class="caps">LLAMA2</span>, but trained with french data. As I’m working mostly in french, it might be useful. The current models that I can get locally are in english.</p>
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<p>The information I’ve found online are scarse and not so easy to follow, so …</p>
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