<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>OpenBMB on SoloSoft</title><link>https://www.solosoft.dev/tags/openbmb/</link><description>Recent content in OpenBMB 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/openbmb/index.xml" rel="self" type="application/rss+xml"/><item><title>MiniCPM-o: Open-Source Multimodal LLM for Vision, Speech, and Text</title><link>https://www.solosoft.dev/post/minicpm-o-multimodal-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/minicpm-o-multimodal-2026/</guid><description>&lt;p&gt;Multimodal AI models that can simultaneously process vision, speech, and text represent the cutting edge of artificial intelligence. OpenAI&amp;rsquo;s GPT-4o demonstrated the potential of this approach, but its closed nature has left the open-source community racing to catch up. &lt;strong&gt;MiniCPM-o&lt;/strong&gt;, developed by OpenBMB (offshoot of Tsinghua University&amp;rsquo;s NLP lab), has achieved a remarkable milestone: it outperforms GPT-4o on single-image understanding benchmarks while matching or exceeding it on speech tasks &amp;ndash; all in an open-source package.&lt;/p&gt;
&lt;p&gt;The project at &lt;a href="https://github.com/OpenBMB/MiniCPM-o"&gt;github.com/OpenBMB/MiniCPM-o&lt;/a&gt; represents a series of multimodal LLMs that extend the MiniCPM family&amp;rsquo;s impressive performance-to-size ratio into the multimodal domain. MiniCPM-o supports full-duplex voice interaction &amp;ndash; meaning it can listen and speak simultaneously, like a natural conversation &amp;ndash; along with image understanding, optical character recognition, and multi-turn dialogue capabilities.&lt;/p&gt;</description></item><item><title>VoxCPM2: OpenBMB's Tokenizer-Free TTS for Multilingual Speech Generation</title><link>https://www.solosoft.dev/post/voxcpm-tts-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/voxcpm-tts-2026/</guid><description>&lt;p&gt;VoxCPM2 is a tokenizer-free text-to-speech (TTS) model developed by &lt;a href="https://www.openbmb.cn/"&gt;OpenBMB&lt;/a&gt;, an open-source AI research community affiliated with Tsinghua University and the Beijing Academy of Artificial Intelligence (BAAI). With 2 billion parameters, VoxCPM2 represents a paradigm shift in speech synthesis by operating directly on continuous speech representations, eliminating the need for discrete audio tokenizers that typically degrade voice quality.&lt;/p&gt;
&lt;p&gt;The model supports over 30 languages with capabilities spanning zero-shot voice cloning, voice design (creating entirely new voices from text descriptions), and real-time streaming inference. VoxCPM2 has quickly become one of the most talked-about open-source TTS models of 2026, competing directly with commercial offerings like ElevenLabs and OpenAI&amp;rsquo;s TTS while remaining freely available under the Apache 2.0 license.&lt;/p&gt;</description></item></channel></rss>