NVIDIA Nemotron Nano 9B V2 (Reasoning)
Description
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 capacités
Science utilise un proxy de raisonnement lorsque les benchmarks scientifiques dédiés ne sont pas disponibles.
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 257 | 36.0 | AA |
| Classement général | 362 | 30.0 | AA |
| Raisonnement mathématique | 119 | 70.0 | AA |
| Science | 343 | 33.0 | AA |
Scores de benchmarks (LLM Stats)
Biology
Code
General
Math
Indices d'évaluation AA
Scores par catégorie LLM Stats
Tarification
Vitesse
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
4 fournisseurs
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