<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chinese LLM on SoloSoft</title><link>https://www.solosoft.dev/tags/chinese-llm/</link><description>Recent content in Chinese LLM on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/chinese-llm/index.xml" rel="self" type="application/rss+xml"/><item><title>BELLE: Open-Source Chinese Large Language Model by Lianjia</title><link>https://www.solosoft.dev/post/belle-chinese-llm-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/belle-chinese-llm-2026/</guid><description>&lt;p&gt;The landscape of large language models has been dominated by English-centric systems for years. While models like GPT-4, Claude, and LLaMA deliver exceptional performance in English, their capabilities in Chinese &amp;ndash; and the availability of open-source alternatives &amp;ndash; have lagged behind. &lt;strong&gt;BELLE&lt;/strong&gt; (Be Everyone&amp;rsquo;s Large Language model Engine) was created to close that gap.&lt;/p&gt;
&lt;p&gt;Developed by the BELLE Group at &lt;a href="https://github.com/LianjiaTech/BELLE"&gt;Lianjia Technology&lt;/a&gt;, BELLE is an &lt;strong&gt;open-source Chinese large language model project&lt;/strong&gt; that fine-tunes BLOOM and LLaMA architectures with large-scale Chinese instruction data. Named &amp;ldquo;BELLE&amp;rdquo; to evoke the idea of a beautiful, accessible engine for everyone, the project aims to democratize Chinese conversational AI in the same way that Alpaca and Vicuna did for English.&lt;/p&gt;</description></item><item><title>GLM-4: Zhipu AI's Open-Source Bilingual LLM</title><link>https://www.solosoft.dev/post/glm4-llm-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/glm4-llm-2026/</guid><description>&lt;p&gt;The landscape of large language models has been dominated by English-first development. OpenAI, Anthropic, Google, Meta, and Mistral all built their flagship models with English as the primary language, adding multilingual capabilities as an afterthought through translation or mixed training data. This creates real problems for the billions of users who primarily interact with AI in non-English languages &amp;ndash; Chinese in particular, which represents the world&amp;rsquo;s largest language community.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;GLM-4&lt;/strong&gt;, developed by Zhipu AI (智谱AI) &amp;ndash; one of China&amp;rsquo;s leading AI companies, backed by Tsinghua University researchers &amp;ndash; takes a fundamentally different approach. It is a bilingual foundation model built from the ground up for both Chinese and English, with neither language treated as secondary. The result is a model that matches or exceeds GPT-4 on Chinese benchmarks while remaining competitive on English tasks, positioning it as the leading open-source Chinese-English bilingual LLM in 2026.&lt;/p&gt;</description></item></channel></rss>