NVIDIA Nemotron Nano 9B V2 FP8 by nvidia

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NVIDIA Nemotron Nano 9B V2 FP8 is an open-source language model by nvidia. Features: 9b LLM, VRAM: 10.3GB, Context: 128K, License: other.

  Arxiv:2412.02595   Arxiv:2504.03624   Arxiv:2508.14444 Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot...   Conversational   Custom code Dataset:nvidia/nemotron-cc-mat...   Dataset:nvidia/nemotron-cc-v2 Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra...   De   En   Endpoints compatible   Es   Fr   It   Ja   Nemotron h   Nvidia   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

NVIDIA Nemotron Nano 9B V2 FP8 Parameters and Internals

LLM NameNVIDIA Nemotron Nano 9B V2 FP8
Repository ๐Ÿค—https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-FP8 
Base Model(s)  NVIDIA Nemotron Nano 9B V2   nvidia/NVIDIA-Nemotron-Nano-9B-v2
Model Size9b
Required VRAM10.3 GB
Updated2026-03-27
Maintainernvidia
Model Typenemotron_h
Model Files  3.9 GB: 1-of-10   4.0 GB: 2-of-10   2.4 GB: 3-of-10   0.0 GB: 4-of-10   0.0 GB: 5-of-10   0.0 GB: 6-of-10   0.0 GB: 7-of-10   0.0 GB: 8-of-10   0.0 GB: 9-of-10   0.0 GB: 10-of-10
Supported Languagesen es fr de it ja
Model ArchitectureNemotronHForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassPreTrainedTokenizer
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/NVIDIA-Nemotron-Nano-9B-v2-FP8.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260327b