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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.14619/</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/2404.14619/feed.xml" rel="self" type="application/rss+xml" /><item><title>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework — mentioned by sharma-arjun</title><link>https://news.ycombinator.com/item?id=40329232</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.14619:40329232</guid><pubDate>Sat, 11 May 2024 16:52:15 GMT</pubDate><description>&lt;p&gt;This indeed seems to have been a heavy focus of their research team in the past year, eg. &amp;quot;Efficient Large Language Model Inference with Limited Memory&amp;quot; [1] and OpenELM [2] [1] https://arxiv.org/pdf/2312.11514 [2] https://arxiv.org/pdf/2404.14619 (with 1.1B parameters, this appears to be their attempt at building a lightweight LLM)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.14619/"&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>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework — mentioned by GeekyBear</title><link>https://news.ycombinator.com/item?id=40172429</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.14619:40172429</guid><pubDate>Fri, 26 Apr 2024 18:12:27 GMT</pubDate><description>&lt;p&gt;Publicly available datasets were used. &amp;gt; our release includes the complete framework for training and evaluation of the language model on publicly available datasets, including training logs, multiple checkpoints, and pre-training configurations https://arxiv.org/abs/2404.14619v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.14619/"&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>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework — HN submission</title><link>https://news.ycombinator.com/item?id=40147402</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.14619:40147402</guid><pubDate>Wed, 24 Apr 2024 17:39:22 GMT</pubDate><description>&lt;p&gt;OpenELM: An Efficient Language Model Family by Apple&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.14619/"&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>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework — HN submission</title><link>https://news.ycombinator.com/item?id=40145156</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.14619:40145156</guid><pubDate>Wed, 24 Apr 2024 14:58:55 GMT</pubDate><description>&lt;p&gt;OpenELM: Efficient Language Model Family with Open-Source Training and Inference&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.14619/"&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>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework — mentioned by benob</title><link>https://news.ycombinator.com/item?id=40142077</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.14619:40142077</guid><pubDate>Wed, 24 Apr 2024 08:51:11 GMT</pubDate><description>&lt;p&gt;&amp;gt; OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework https://arxiv.org/abs/2404.14619 Apple is pushing for open information on LLM training? World is changing...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.14619/"&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>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework — HN submission</title><link>https://news.ycombinator.com/item?id=40141376</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.14619:40141376</guid><pubDate>Wed, 24 Apr 2024 06:40:43 GMT</pubDate><description>&lt;p&gt;OpenELM: An Efficient Language Model Family with Open-Source Training, Inference&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.14619/"&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>OpenELM: An Efficient Language Model Family with Open Training and Inference Framework — mentioned by panqueca</title><link>https://news.ycombinator.com/item?id=40140728</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.14619:40140728</guid><pubDate>Wed, 24 Apr 2024 04:53:11 GMT</pubDate><description>&lt;p&gt;ArXiv Paper: https://arxiv.org/abs/2404.14619&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.14619/"&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>
