<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>helsinkiandrew</author><text>The Github repository, gives a better introduction&amp;#x2F;howto:&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;01-ai&amp;#x2F;yi&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;01-ai&amp;#x2F;yi&lt;/a&gt;&lt;p&gt;&amp;gt; Yi-34B-Chat model landed in second place (following GPT-4 Turbo), outperforming other LLMs (such as GPT-4, Mixtral, Claude) on the AlpacaEval Leaderboard (based on data available up to January 2024).&lt;p&gt;&amp;gt; Yi-34B model ranked first among all existing open-source models (such as Falcon-180B, Llama-70B, Claude) in both English and Chinese on various benchmarks, including Hugging Face Open LLM Leaderboard (pre-trained) and C-Eval (based on data available up to November 2023).</text><parent_chain></parent_chain></comment><story><title>Yi: Open Foundation Models by 01.AI</title><url>https://arxiv.org/abs/2403.04652</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>orra</author><text>The repo source code is Apache 2.0 licensed, but the weights are not.&lt;p&gt;Just in case anybody else is excited then misled by their tagline &amp;quot;Building the Next Generation of Open-Source and Bilingual LLMs&amp;quot;.</text><parent_chain></parent_chain></comment><story><title>Yi: Open Foundation Models by 01.AI</title><url>https://arxiv.org/abs/2403.04652</url></story>