AI Proposes BitNet Distillation (BitDistill): A Lightweight Pipeline

Microsoft Research proposes BitNet Distillation, a pipeline that converts existing full precision LLMs into 1.58 bit BitNet students for specific tasks, while keeping accuracy close to the FP16 teacher and improving CPU efficiency. The method combines SubLN based architectural refinement, continued pre training, and dual signal distillation from logits and multi head attention relations. Reported results show up to 10× memory savings and about 2.65× faster CPU inference, with task metrics comparable to FP16 across multiple sizes.