NVIDIA Nemotron Nano 9B V2 (Non-reasoning)
Descripción
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.
Radar de capacidades
Science usa un proxy de razonamiento cuando los benchmarks científicos dedicados no están disponibles.
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Code Ranking | 279 | 27.0 | AA |
| General Ranking | 357 | 31.0 | AA |
| Math Reasoning | 143 | 63.0 | AA |
| Science | 335 | 32.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
Biology
Code
General
Math
Índices de evaluación AA
Puntuaciones por categoría LLM Stats
Precios
Velocidad
Proveedores disponibles
(Unidades internas LS)No hay datos de proveedores disponibles