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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Zamba: A Compact 7B SSM Hybrid Model · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2405.16712/</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/2405.16712/feed.xml" rel="self" type="application/rss+xml" /><item><title>Zamba: A Compact 7B SSM Hybrid Model — mentioned by lhl</title><link>https://news.ycombinator.com/item?id=41843268</link><guid isPermaLink="false">urn:hackerpapers:mention:2405.16712:41843268</guid><pubDate>Mon, 14 Oct 2024 23:24:03 GMT</pubDate><description>&lt;p&gt;Since it looks like from the announcement, the model hasn&amp;#x27;t changed much, here&amp;#x27;s the Zamba 1 paper for reference: https://arxiv.org/pdf/2405.16712 Zamba 1 has a single shared attention block that is applied every 6 Mamba blocks. For Zamba 2: &amp;quot;Instead of a single shared attention block, we utilize two shared attention blocks which are interleaved in an ABAB pattern throughout the network.&amp;quot; Perhaps of relevant interest, Nvidia released a paper back in June testing hybrid SSM models, and their testing found that on small scale (&amp;lt;1B) experiments, ~8% (12:1) SSM layers was optimal.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2405.16712/"&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>Zamba: A Compact 7B SSM Hybrid Model — mentioned by ricopags</title><link>https://news.ycombinator.com/item?id=40643980</link><guid isPermaLink="false">urn:hackerpapers:mention:2405.16712:40643980</guid><pubDate>Tue, 11 Jun 2024 08:49:10 GMT</pubDate><description>&lt;p&gt;Have you seen Zamba by chance? https://arxiv.org/html/2405.16712v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2405.16712/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
