NVIDIA Nemotron Nano 9B V2 (Non-reasoning)
설명
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.
능력 레이더
전용 과학 벤치마크가 없을 때 Science는 추론 프록시를 사용하여 추정합니다.
랭킹
| 도메인 | #순위 | 점수 | 소스 |
|---|---|---|---|
| Code Ranking | 279 | 27.0 | AA |
| General Ranking | 357 | 31.0 | AA |
| Math Reasoning | 143 | 63.0 | AA |
| Science | 335 | 32.0 | AA |
벤치마크 점수 (LLM Stats)
Biology
Code
General
Math
AA 평가 지수
LLM Stats 카테고리 점수
가격
속도
사용 가능한 프로바이더
(LS 내부 단위)프로바이더 데이터가 없습니다