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Nemotron Mini 4B Instruct by nvidia

 »  All LLMs  »  nvidia  »  Nemotron Mini 4B Instruct   URL Share it on

  4159   
  Arxiv:2402.16819   Arxiv:2407.14679   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama-3   Nemo   Nemotron   Nvidia   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-Mini-4B-Instruct 

Nemotron Mini 4B Instruct Benchmarks

MMLU Pro: 18.07
GPQA: 4.03
MUSR: 4.62
BBH: 14.2
IFEval: 66.69 vs 88 (so35)-24.2%
MATH Lvl 5: 2.57
LLME Score: 0.28326
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nemotron Mini 4B Instruct (nvidia/Nemotron-Mini-4B-Instruct)
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Nemotron Mini 4B Instruct Parameters and Internals

Model Type 
roleplaying, retrieval augmented generation, function calling
Use Cases 
Areas:
Roleplay, RAG QA, Function calling
Primary Use Cases:
Improved game character roleplay
Limitations:
May generate toxic, biased, or inaccurate responses
Considerations:
Use recommended prompt template to mitigate issues.
Additional Notes 
Model ready for commercial use. Integrated with NVIDIA ACE.
Supported Languages 
languages_supported (en), proficiency_level (N/A)
Training Details 
Methodology:
Distillation, pruning, and quantization
Context Length:
4096
Training Time:
Feb 2024 - Aug 2024
Model Architecture:
Nemotron-4
Safety Evaluation 
Methodologies:
Garak, AEGIS, Human Content Red Teaming
Risk Categories:
prompt injection, data leakage, 13 categories of critical risks
Ethical Considerations:
Efforts to mitigate vulnerabilities and safety risks through multiple evaluation methods.
Responsible Ai Considerations 
Fairness:
Model may contain biases from training data.
Accountability:
Shared responsibility for Trustworthy AI development.
Mitigation Strategies:
Encourage developers to ensure model meets industry standards.
LLM NameNemotron Mini 4B Instruct
Repository 🤗https://huggingface.co/nvidia/Nemotron-Mini-4B-Instruct 
Base Model(s)  Minitron 4B Base   nvidia/Minitron-4B-Base
Model Size4b
Required VRAM8.4 GB
Updated2025-09-23
Maintainernvidia
Model Typenemotron
Instruction-BasedYes
Model Files  8.4 GB
Supported Languagesen
Model ArchitectureNemotronForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size256000
Torch Data Typebfloat16

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Rank the Nemotron Mini 4B Instruct 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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Release v20241124
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