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NVIDIA Nemotron Nano 9B V2 by unsloth

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NVIDIA Nemotron Nano 9B V2 is an open-source language model by unsloth. Features: 9b LLM, VRAM: 17.7GB, Context: 128K, License: other.

  Arxiv:2412.02595   Arxiv:2504.03624   Arxiv:2508.14444 Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot...   Conversational 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   Nvidia   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/NVIDIA-Nemotron-Nano-9B-v2 
NVIDIA Nemotron Nano 9B V2 (unsloth/NVIDIA-Nemotron-Nano-9B-v2)
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NVIDIA Nemotron Nano 9B V2 Parameters and Internals

LLM NameNVIDIA Nemotron Nano 9B V2
Repository 🤗https://huggingface.co/unsloth/NVIDIA-Nemotron-Nano-9B-v2 
Base Model(s)  NVIDIA Nemotron Nano 9B V2   NVIDIA Nemotron Nano 12B V2   nvidia/NVIDIA-Nemotron-Nano-9B-v2   nvidia/NVIDIA-Nemotron-Nano-12B-v2
Model Size9b
Required VRAM17.7 GB
Updated2026-03-27
Maintainerunsloth
Model Typenemotron_h
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.9 GB: 3-of-4   3.0 GB: 4-of-4
Supported Languagesen es fr de it ja
Model ArchitectureNemotronHForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.56.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<SPECIAL_999>
Vocabulary Size131072

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NVIDIA Nemotron 3 Nano 4B BF16256K / 8 GB3918561
...VIDIA Nemotron Nano 9B V2 Base128K / 17.7 GB15161943
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Note: green Score (e.g. "73.2") means that the model is better than unsloth/NVIDIA-Nemotron-Nano-9B-v2.

Rank the NVIDIA Nemotron Nano 9B V2 Capabilities

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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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