MiniCPM5-2B小模型展现强大能力

Ok this small local model is sooo good MiniCPM5-2B has only 2B parameters (!!) and can run agents o...

Ok this small local model is sooo good MiniCPM5-2B has only 2B parameters (!!) and can run agents on any laptop or even your phone fully offline. This 100% open source model can perform coding/agentic/tool use tasks and can run on just 2GB RAM! And it's genuinely good even in Hermes agent! I asked it to: - Go to Hugging Face - Find the Models section - Evaluate models across multiple criteria - Create a CSV with the top 15 It did it! In the Artificial Analysis Intelligence Index v4.1.1 results cited in the official release, MiniCPM5-2B scores 23 and ranks #1 among open-source models under 4B parameters. So it's not about the size of the model anymore but way more the density of intelligence: Researchers from Tsinghua University and ModelBest proposed the “Densing Law”: the maximum capability density of open-source pretrained base models roughly doubled every 3.5 months over the period studied! And what's also interesting is that OpenBMB's open-source approach goes beyond just releasing model weights with - Selected training methods - Agent-related data - Data refinement resources Also being opened up, including the RL stack with Meshy + JustRL II. This model even outperforms some models around 6x larger on selected evaluations such as GDPval-AA v2! Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 1 ❤️ 3 👀 1108 📊 2 ⚡