Llama 3.1 Minitron 4B Width Base by nvidia

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  Arxiv:2009.03300   Arxiv:2407.14679   Arxiv:2408.11796   Llama   Nemo   Region:us   Safetensors   Sharded   Tensorflow

Llama 3.1 Minitron 4B Width Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 Minitron 4B Width Base (nvidia/Llama-3.1-Minitron-4B-Width-Base)

Llama 3.1 Minitron 4B Width Base Parameters and Internals

Model Type 
text-to-text, generative
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, question answering
Primary Use Cases:
Paragraph completion
Limitations:
Potential for generating toxic, biased responses
Considerations:
Security measures and ethical reviews may be needed
Supported Languages 
English (high), Multilingual (medium)
Training Details 
Data Sources:
webpages, dialogue, articles
Data Volume:
94 billion tokens
Methodology:
Knowledge distillation
Context Length:
8000
Training Time:
July 29, 2024 and Aug 3, 2024
Hardware Used:
NVIDIA A100
Model Architecture:
Llama-3.1 core, Transformer Decoder
Responsible Ai Considerations 
Transparency:
Some known biases
Accountability:
User responsibility
Mitigation Strategies:
Ensure requirements for use cases are met, unexpected misuse addressed
Input Output 
Input Format:
String
Accepted Modalities:
Text
Output Format:
String
Performance Tips:
Use text prompts of 8000 characters or less for best results
Release Notes 
Version:
4B
Date:
2024-08-03
Notes:
Final deployment-ready version.
LLM NameLlama 3.1 Minitron 4B Width Base
Repository ๐Ÿค—https://huggingface.co/nvidia/Llama-3.1-Minitron-4B-Width-Base 
Model Size4b
Required VRAM9 GB
Updated2025-02-05
Maintainernvidia
Model Typellama
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/Llama-3.1-Minitron-4B-Width-Base.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227