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NVIDIA Nemotron 3 Nano 4B by unsloth

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NVIDIA Nemotron 3 Nano 4B is an open-source language model by unsloth. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: other, LLM Explorer Score: 0.32.

  Arxiv:2412.02595   Arxiv:2504.03624   Arxiv:2511.16664   Arxiv:2512.20848   Arxiv:2512.20856 Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot...   Conversational   Custom code   En   Nemotron h   Nvidia   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/unsloth/NVIDIA-Nemotron-3-Nano-4B 

NVIDIA Nemotron 3 Nano 4B Benchmarks

LLME Score: 0.316
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NVIDIA Nemotron 3 Nano 4B (unsloth/NVIDIA-Nemotron-3-Nano-4B)
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NVIDIA Nemotron 3 Nano 4B Parameters and Internals

LLM NameNVIDIA Nemotron 3 Nano 4B
Repository 🤗https://huggingface.co/unsloth/NVIDIA-Nemotron-3-Nano-4B 
Base Model(s)  NVIDIA Nemotron 3 Nano 4B BF16   nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
Model Size4b
Required VRAM8 GB
Updated2026-05-01
Maintainerunsloth
Model Typenemotron_h
Model Files  8.0 GB
Supported Languagesen
Model ArchitectureNemotronHForCausalLM
Licenseother
Context Length262144
Model Max Length262144
Transformers Version5.3.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<SPECIAL_999>
Vocabulary Size131072
Torch Data Typebfloat16

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NVIDIA Nemotron 3 Nano 4B FP8256K / 5.3 GB1154426
NVIDIA Nemotron 3 Nano 4B FP8256K / 10.6 GB19043
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Nemotron H 4B Instruct 128K128K / 9 GB156510
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Rank the NVIDIA Nemotron 3 Nano 4B 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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