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
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 307 | 36.0 | AA |
| Ranking general | 429 | 29.0 | AA |
| Ciencia | 410 | 32.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
Code
General
Math
Índices de evaluación AA
(Artificial Analysis)Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Precios
Velocidad
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
1 proveedores
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