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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2312.16886/</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/2312.16886/feed.xml" rel="self" type="application/rss+xml" /><item><title>MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices — mentioned by smpanaro</title><link>https://news.ycombinator.com/item?id=38861311</link><guid isPermaLink="false">urn:hackerpapers:mention:2312.16886:38861311</guid><pubDate>Wed, 03 Jan 2024 23:42:01 GMT</pubDate><description>&lt;p&gt;MobileVLM [1] is another recent small multimodal model. They trained their own 1.4B/2.7B LLaMa from scratch using RedPajama and Vicuna instead of leveraging Phi-2. The papers only have one common benchmark (GQA, MobileVLM scores better) so hard to say how they compare otherwise. [1] https://arxiv.org/abs/2312.16886&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2312.16886/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
