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.
Capability Radar
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 311 | 36.0 | AA |
| General Ranking | 434 | 29.0 | AA |
| Science | 414 | 32.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Biology
Code
General
Math
AA Evaluation Indices
(Artificial Analysis)LLM Stats Category Scores
(LLM Stats (zeroeval))Pricing
Speed
Provider Price Ranking
Provider Price Ranking
1 providers
Compare pricing across different API providers for this model.