Hugging Face Overview
OpenReasoning-Nemotron-32B: Advanced Reasoning Model
OpenReasoning-Nemotron-32B is a 32.8 billion parameter language model developed by NVIDIA, based on the Qwen2.5-32B architecture. It is specifically post-trained to excel in complex reasoning tasks across math, code, and science, supporting an extensive context length for up to 64,000 output tokens.
Key Capabilities
- Specialized Reasoning: Optimized for generating solutions in competitive math, coding, and scientific problems.
- High Performance: Demonstrates strong results on challenging reasoning benchmarks such as AIME, LiveCodeBench, GPQA, and MMLU-PRO, often setting new records for its size class.
- Generative Solution Selection (GenSelect): Incorporates a unique inference mode that combines multiple parallel generations to select the best solution, significantly boosting performance on math and coding benchmarks. This capability generalizes across problem types.
- Commercial Use: Available for both commercial and non-commercial research under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).
Good For
- Developers and researchers focused on competitive programming, mathematical problem-solving, and scientific inquiry.
- Applications requiring robust, step-by-step reasoning and solution generation.
- Leveraging advanced inference techniques like GenSelect for enhanced accuracy in complex tasks.