Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
State-of-the-art TTS model under 25MB 😻
MiniCPM5: SOTA on-device LLMs, small yet powerful.
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Router that virtually distributes inference across connected devices in the home.
A set of LLM Tutorials from my youtube channel