FP4 All the Way: Fully Quantized Training of Large Language Models
NeurIPSSpotlight2025
TL;DR
We demonstrate, for the first time, fully quantized training (FQT) of large language models (LLMs) using predominantly 4-bit floating-point (FP4) precision for weights, activations, and gradients on d…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
large language model language model llm
← All NeurIPS 2025 Spotlight papers · Browse the whole archive