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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.19821/</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/2412.19821/feed.xml" rel="self" type="application/rss+xml" /><item><title>Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models — mentioned by lifthrasiir</title><link>https://news.ycombinator.com/item?id=45228235</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.19821:45228235</guid><pubDate>Sat, 13 Sep 2025 00:30:53 GMT</pubDate><description>&lt;p&gt;Hmm, you successfully nerd-sniped me. AFAIK there are at least: - 8-bit floating point types: (S1)E4M3 (finite only, has no-negative-zero variant), (S1)E5M2 (has no-negative-zero variant), E8M0 - 6-bit floating point types: (S1)E2M3, (S1)E3M2 - 4-bit floating point types: (S1)E2M1, NF4 - Block floating point types: MXFP8 (E5M2/E4M3*32+E8M0), MXFP6 (E3M2/E2M3*32+E8M0), MXFP4 (E2M1*32+E8M0), NXFP [1] [1] https://arxiv.org/pdf/2412.19821 Do you have anything to add on?&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.19821/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AR</category></item></channel></rss>
