NVIDIA develops the Nvidia Nemotron Nano 9B V 2 Japanese, a large language model optimized for the Japanese language and designed for both reasoning and non-reasoning tasks. It is genuinely best at generating high-quality responses by first creating a reasoning trace, which can be controlled via system prompts, and its hybrid architecture combines Mamba-2, MLP layers, and 4 layers of attention.
Input
Output
Context
131K
Max Output
-
Parameters
8.9B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
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