Nous Research has released NousCoder-14B, an open-source coding model trained in just four days on 48 Nvidia B200 GPUs, achieving 67.87% accuracy on the LiveCodeBench v6 benchmark — a 7-point improvement over its base model. The release stands out for its radical transparency, with Nous publishing not only the model weights but also the full training environment and reinforcement learning framework, enabling others to reproduce the work. However, the researchers flag a significant concern: the training dataset approached the limits of available competitive programming problems, pointing to data scarcity as a key obstacle for future AI coding progress and highlighting synthetic data generation as a critical area for future research.
