NVIDIA Nemotron Nano 9B V2 (Non-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
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 311 | 36.0 | AA |
| Classement général | 434 | 29.0 | AA |
| Science | 414 | 32.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
Code
General
Math
Indices d'évaluation AA
(Artificial Analysis)Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Tarification
Vitesse
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
1 fournisseurs
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