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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>gpt-oss-120b &amp; gpt-oss-20b Model Card · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2508.10925/</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/2508.10925/feed.xml" rel="self" type="application/rss+xml" /><item><title>gpt-oss-120b &amp; gpt-oss-20b Model Card — mentioned by lambda</title><link>https://news.ycombinator.com/item?id=47064670</link><guid isPermaLink="false">urn:hackerpapers:mention:2508.10925:47064670</guid><pubDate>Wed, 18 Feb 2026 18:50:04 GMT</pubDate><description>&lt;p&gt;Why do you think ChatGPT doesn&amp;#x27;t use a quant? GPT-OSS, which OpenAI released as open weights, uses a 4 bit quant, which is in some ways a sweet spot, it loses a small amount of performance in exchange for a very large reduction in memory usage compared to something like fp16. I think it&amp;#x27;s perfectly reasonable to expect that ChatGPT also uses the same technique, but we don&amp;#x27;t know because their SOTA models aren&amp;#x27;t open. https://arxiv.org/pdf/2508.10925&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2508.10925/"&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>
