#TACQ22/04/2025
UNC Researchers Unveil TACQ: Maintaining LLM Accuracy at 2-Bit Precision Through Task-Aware Quantization
Researchers at UNC Chapel Hill introduced TACQ, a task-aware quantization method that preserves critical weight circuits, allowing large language models to maintain high accuracy even at ultra-low 2-bit precision compression.