minicpm4-efficient-llms

Build ultra-efficient language models for edge devices using sparse attention, high-quality data filtering, and ternary quantization, achieving Qwen3-8B performance with 22% of training tokens.

Independent GitHub snapshot · Automated classification · Original documentation governs