tokenizer-agnostic

This paper proposes Byte-Level Distillation (BLD), a simple method for cross-tokenizer knowledge transfer in language models by operating at a shared byte-level interface, achieving competitive or superior performance compared to more complex existing approaches across 1B-8B parameter models.