Multi-Byte Prediction Speeds Up Hierarchical Byte-Level LMs
August 15, 2026
Multi-byte prediction (MBP) enables hierarchical language models to generate multiple bytes in parallel using a variable-length prediction window and a novel attention-masking scheme. This approach increases inference speed without requiring additional parameters or sacrificing model performance.
HOW THIS AFFECTS YOU
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builderYou can achieve faster inference on byte-level models without the memory overhead of larger parameter counts.
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researcherThis method offers a way to scale multi-token prediction paradigms to byte-level hierarchical architectures.