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Nemotron Nano 9B v2

NVIDIA · open weight · nvidia-nemotron-nano-9b-v2

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.

MATH-500IFEvalAIME 2025LiveCodeBencGPQA

Benchmark scores

BenchmarkScore
MATH-5000.98
IFEval0.90
AIME 20250.72
LiveCodeBench0.71
GPQA0.64

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AA metrics

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