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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2403.03507/</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/2403.03507/feed.xml" rel="self" type="application/rss+xml" /><item><title>GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — mentioned by ironbound</title><link>https://news.ycombinator.com/item?id=40189955</link><guid isPermaLink="false">urn:hackerpapers:mention:2403.03507:40189955</guid><pubDate>Sun, 28 Apr 2024 16:58:32 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;ve had sucess with GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection https://arxiv.org/abs/2403.03507&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2403.03507/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — HN submission</title><link>https://news.ycombinator.com/item?id=39688588</link><guid isPermaLink="false">urn:hackerpapers:submission:2403.03507:39688588</guid><pubDate>Wed, 13 Mar 2024 06:25:29 GMT</pubDate><description>&lt;p&gt;GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2403.03507/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — HN submission</title><link>https://news.ycombinator.com/item?id=39664786</link><guid isPermaLink="false">urn:hackerpapers:submission:2403.03507:39664786</guid><pubDate>Mon, 11 Mar 2024 03:59:38 GMT</pubDate><description>&lt;p&gt;GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2403.03507/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — HN submission</title><link>https://news.ycombinator.com/item?id=39642865</link><guid isPermaLink="false">urn:hackerpapers:submission:2403.03507:39642865</guid><pubDate>Fri, 08 Mar 2024 16:45:30 GMT</pubDate><description>&lt;p&gt;Gradient Low-Rank Projection (GaLore) reduces LLM training memory usage by 63%&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2403.03507/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — HN submission</title><link>https://news.ycombinator.com/item?id=39640242</link><guid isPermaLink="false">urn:hackerpapers:submission:2403.03507:39640242</guid><pubDate>Fri, 08 Mar 2024 11:54:47 GMT</pubDate><description>&lt;p&gt;GaLore: Train 7B models from scratch on consumer GPU&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2403.03507/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection — HN submission</title><link>https://news.ycombinator.com/item?id=39627880</link><guid isPermaLink="false">urn:hackerpapers:submission:2403.03507:39627880</guid><pubDate>Thu, 07 Mar 2024 11:46:03 GMT</pubDate><description>&lt;p&gt;GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;6 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2403.03507/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
