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<blockquote style="position: relative; padding-left: 55px;"><section><a href="https://assemblag.es/users/jcalpickard/statuses/113238097045743499">Justin Pickard (jcalpickard@assemblag.es)'s status on Thursday, 03-Oct-2024 00:17:41 JST</a><a href="https://assemblag.es/@jcalpickard" title="jcalpickard@assemblag.es"><img src="https://gnusocial.jp/avatar/121979-48-20230519140659.webp" width="48" height="48" alt="Justin Pickard" style="position: absolute; left: 0; top: 0;">Justin Pickard</a><div><a href="https://mastodon.sdf.org/@scribe/113238052459579883" rel="in-reply-to">in reply to</a><ul><li><li><a href="https://gnusocial.jp/user/139385" title="orbific@mastodonapp.uk">orbific</a></li></ul></div></section><article><p><a href="https://mastodon.sdf.org/@scribe">@scribe</a> <a href="https://mastodonapp.uk/@orbific">@orbific</a> This is something I'll be running at in earnest in the new year. In the meantime, I've seen this crop up a few times: <a href="https://www.infoworld.com/article/2338922/5-easy-ways-to-run-an-llm-locally.html" rel="nofollow noreferrer">https://www.infoworld.com/article/2338922/5-easy-ways-to-run-an-llm-locally.html</a></p></article><footer><a rel="bookmark" href="https://gnusocial.jp/conversation/3762709#notice-7365275">In conversation</a><time datetime="2024-10-03T00:17:41+09:00" title="Thursday, 03-Oct-2024 00:17:41 JST">about 2 months ago</time> <span>from <span><a href="https://assemblag.es/@jcalpickard/113238097045743499" rel="external" title="Sent from assemblag.es via ActivityPub">assemblag.es</a></span></span><a href="https://assemblag.es/@jcalpickard/113238097045743499">permalink</a><h4>Attachments</h4><ol><li><article><header><div>Domain not in remote thumbnail source whitelist: www.infoworld.com</div><h5><a href="https://www.infoworld.com/article/2338922/5-easy-ways-to-run-an-llm-locally.html">5 easy ways to run an LLM locally</a></h5><div></div></header><div>Deploying a large language model on your own system can be surprisingly simple—if you have the right tools. Here’s how to use LLMs like Meta’s new Llama 3 on your desktop.</div><footer></footer></article></li></ol></footer></blockquote>

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Justin Pickard (jcalpickard@assemblag.es)'s status on Thursday, 03-Oct-2024 00:17:41 JSTJustin Pickard
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@scribe @orbific This is something I'll be running at in earnest in the new year. In the meantime, I've seen this crop up a few times: https://www.infoworld.com/article/2338922/5-easy-ways-to-run-an-llm-locally.html
In conversationabout 2 months ago from assemblag.espermalink
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1. Domain not in remote thumbnail source whitelist: www.infoworld.com
  5 easy ways to run an LLM locally
  Deploying a large language model on your own system can be surprisingly simple—if you have the right tools. Here’s how to use LLMs like Meta’s new Llama 3 on your desktop.

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