2025-10-29
Nvidia researchers unlock 4-bit LLM training that matches 8-bit performance
Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision models. Their technique, NVFP4, makes it possible to train models that not only outperform other leading 4-bit formats but match the performance of the larger 8-bit FP8 format, all while using half the memory and a fraction of the compute.
The success of NVFP4 shows that enterprises can continue to cut inference costs by running leaner models that match the performance of larger ones. It also hints at a future where the cost of training LLMs will drop to a point where many more organizations can train their own bespoke models from scra [...]
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