NVIDIA recently released its latest general-purpose large model Nemotron-4, which has 15 billion parameters and performs well in multi-language and coding tasks. Nemotron-4 adopts the scaling law of the Chinchilla model and has made breakthroughs in optimizing computing budget, data and model size. Its performance exceeds other models of the same scale, making it one of the most powerful general-purpose language models currently. The goal is to be able to run on a single A100 or H100 GPU, setting a new benchmark for the efficiency of large models. This marks significant progress in the pursuit of high-performance large models.
NVIDIA has released Nemotron-4, a general-purpose large model with 15 billion parameters that performs well in multiple languages and coding tasks. The model adopts the scaling law of the Chinchilla model to optimize the calculation budget, data and model size, surpassing models of the same parameter scale and becoming the most powerful general language model. Nemotron-4 aims to run on a single A100 or H100 GPU, setting a new standard in the field of large models.
The release of Nemotron-4 not only improves the performance of large models, but more importantly, its goal of running on a single GPU lowers the threshold for using large models, provides convenience for more developers and researchers, and heralds the application of large models. further popularization. Nvidia’s move is of great significance to promoting the development of artificial intelligence technology.