12 repos
Compact, efficient language models designed for conversational AI and text generation across various scales and training approaches. The cluster centers on MiniCPM variants—including 1B and 2B parameter models trained with supervised fine-tuning (SFT), direct preference optimization (DPO), and extended context windows (128k tokens)—along with related inference and deployment implementations. These models prioritize compatibility with standard transformer endpoints while maintaining conversational quality at reduced computational cost.