Apertus LLM Family Expansion via Distillation and Quantization

Abstract

Expanding the Apertus model family through distillation and quantization to support a broader range of model sizes and hardware budgets.

Publication
arXiv preprint
Andrei Panferov
Andrei Panferov
PhD Candidate in Computer Science

I work on efficient large language models, with a focus on low-precision training, quantization, and scaling laws.