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!