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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2401.14109/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2401.14109/feed.xml" rel="self" type="application/rss+xml" /><item><title>CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks — mentioned by NitpickLawyer</title><link>https://news.ycombinator.com/item?id=45978264</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.14109:45978264</guid><pubDate>Wed, 19 Nov 2025 11:23:39 GMT</pubDate><description>&lt;p&gt;I think this is the paper? Skimming through it now: https://arxiv.org/pdf/2401.14109 edit: it&amp;#x27;s really light on details. They have some graphs on reduction and a few (old) benchmarks where supposedly they don&amp;#x27;t lose much accuracy, but with such old models being listed, it&amp;#x27;s hard to know. More of a &amp;quot;promo pamphlet&amp;quot; than a paper tbh.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.14109/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
