Nvidia Nemotron Nano 9B V2 Base
NVIDIA's Nemotron Nano 9B V 2 Base is a large language model designed for text completion, featuring a hybrid Mamba-2 and MLP architecture with a context length of 128K. It is particularly suited for developers and researchers building LLMs, supporting multiple languages including English, Spanish, and Chinese. With 8.89B parameters, this model was pruned and distilled from a larger 12B version, showcasing its efficient design.
Input
Output
Context
128K
Max Output
16K
Parameters
9B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Resources & Links
Estimated GPU Requirements for Nvidia Nemotron Nano 9B V2 Base
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
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