About this document
Accelerating Large-Vocabulary Language Models by guanfelixcaptain is a document available to read on EtoBox.
The document presents FR-Spec, a frequency-ranked speculative sampling framework designed to enhance the efficiency of large-vocabulary language models (LLMs) by optimizing draft candidate selection through vocabulary space compression. By prioritizing high-frequency tokens, FR-Spec reduces computation overhead by 75% while maintaining output distribution equivalence, achieving an average speedup of 1.12× over existing methods like EAGLE-2. The framework is compatible with current speculative sampling techn
- Author
- guanfelixcaptain
- Language
- EN