nvidia/Qwen3-Nemotron-8B-BRRM

The nvidia/Qwen3-Nemotron-8B-BRRM is an 8 billion parameter Branch-and-Rethink Reasoning Reward Model (BR-RM) developed by NVIDIA. This reward model employs a novel two-turn reasoning framework, utilizing adaptive branching to focus on critical evaluation dimensions and branch-conditioned rethinking for deep analysis of LLM-generated responses. It is designed to integrate with RLHF pipelines and achieves state-of-the-art performance on major reward modeling benchmarks by addressing the "judgment diffusion" problem.