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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2411.02265/</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/2411.02265/feed.xml" rel="self" type="application/rss+xml" /><item><title>Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent — HN submission</title><link>https://news.ycombinator.com/item?id=42110532</link><guid isPermaLink="false">urn:hackerpapers:submission:2411.02265:42110532</guid><pubDate>Mon, 11 Nov 2024 21:20:29 GMT</pubDate><description>&lt;p&gt;Hunyuan-Large: An Open-Source Moe Model with 52B Activated Parameters&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;7 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2411.02265/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent — mentioned by dplavery92</title><link>https://news.ycombinator.com/item?id=42055443</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.02265:42055443</guid><pubDate>Tue, 05 Nov 2024 21:43:57 GMT</pubDate><description>&lt;p&gt;The title of Tencent&amp;#x27;s paper [0] as well as their homepage for the model [1] each use the term &amp;quot;Open-Source&amp;quot; in the title, so I think they are making the claim. [0] https://arxiv.org/pdf/2411.02265 [1] https://llm.hunyuan.tencent.com/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.02265/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent — mentioned by 1R053</title><link>https://news.ycombinator.com/item?id=42054888</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.02265:42054888</guid><pubDate>Tue, 05 Nov 2024 20:31:36 GMT</pubDate><description>&lt;p&gt;the paper with details: https://arxiv.org/pdf/2411.02265 They use - 16 experts, of which one is activated per token - 1 shared expert that is always active in summary that makes around 52B active parameters per token instead of the 405B of LLama3.1.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.02265/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent — HN submission</title><link>https://news.ycombinator.com/item?id=42052840</link><guid isPermaLink="false">urn:hackerpapers:submission:2411.02265:42052840</guid><pubDate>Tue, 05 Nov 2024 16:27:55 GMT</pubDate><description>&lt;p&gt;Hunyuan-Large: An Open-Source Moe Model with 52B Activated Parameters&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2411.02265/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
