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NVIDIA: Nemotron Nano 9B V2

nvidia/nemotron-nano-9b-v2

Model weights

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.

Modalities
Context
32K
Released
Sep 5, 2025
Knowledge Cutoff
Mar 2025
ActivityFAQExplore

Activity

Token volume and request traffic to this model over time.

Not currently available through EU in-region routing. In-region routing docs

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Frequently asked questions

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.

Nemotron Nano 9B V2 has a 32,000 token context window.

Nemotron 3.5 Super VL, Nemotron 3.5 Lightning, Nemotron 3.5 Content Safety and 4 more are other text models from Nvidia.

Nemotron Nano 9B V2 was released on September 5, 2025. Its knowledge cutoff is March 31, 2025.