Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

Nous Research has launched NousCoder-14B, an open-source coding model that reportedly matches or surpasses larger proprietary systems. Trained in just four days using 48 Nvidia B200 GPUs, the model achieves a 67.87% accuracy rate on competitive programming tasks. This release comes at a time when rival Anthropic's Claude Code has been gaining significant attention in the AI coding assistant space. NousCoder-14B distinguishes itself through its transparency, as Nous Research has made available not only the model weights but also the complete training environment and benchmark suite. This openness aims to foster reproducibility and collaboration within the research community. The model's training process involved solving 24,000 competitive programming problems, showcasing advanced reinforcement learning techniques. As AI-assisted software development evolves rapidly, Nous Research's commitment to open-source solutions positions it as a notable player in the field.

• NousCoder-14B trained in four days using 48 Nvidia B200 GPUs.
• Achieves 67.87% accuracy on competitive programming tasks.
• Open-source model with complete training environment available.
• Competes with Anthropic's Claude Code, gaining significant attention.
• Utilizes advanced reinforcement learning techniques for training.