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Llama 3.1 Minitron 4B Depth Base by nvidia

 »  All LLMs  »  nvidia  »  Llama 3.1 Minitron 4B Depth Base   URL Share it on

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  Arxiv:2009.03300   Arxiv:2407.14679   Arxiv:2408.11796   Autotrain compatible   En   Endpoints compatible   Llama   Llama-3   Nemo   Nvidia   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Llama-3.1-Minitron-4B-Depth-Base 

Llama 3.1 Minitron 4B Depth Base Benchmarks

MMLU Pro: 19.98
GPQA: 1.79
MUSR: 10.7
BBH: 19.44
IFEval: 16.07 vs 88 (so35)-81.7%
MATH Lvl 5: 1.96
LLME Score: 0.26985
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 Depth Base (nvidia/Llama-3.1-Minitron-4B-Depth-Base)

Llama 3.1 Minitron 4B Depth Base Parameters and Internals

Model Type 
text-to-text
Use Cases 
Areas:
commercial, natural language generation tasks
Applications:
code generation, language understanding
Primary Use Cases:
5-shot performance, zero-shot performance, code generation
Limitations:
Model trained on potentially biased or toxic data, May amplify biases or return toxic responses
Considerations:
Developers should ensure model meets their industry's requirements
Supported Languages 
English (Proficient), Multilingual (Proficient)
Training Details 
Data Sources:
webpages, dialogue, articles, written materials
Data Volume:
94 billion tokens
Methodology:
Knowledge Distillation
Training Time:
July 29, 2024 - Aug 3, 2024
Model Architecture:
Transformer Decoder (Auto-Regressive Language Model)
Responsible Ai Considerations 
Fairness:
The model may contain societal biases.
Transparency:
Not explicitly stated
Accountability:
Recommended to be managed by user's internal model team
Mitigation Strategies:
Policies to develop Trustworthy AI, report vulnerabilities
Input Output 
Input Format:
String
Accepted Modalities:
Text
Output Format:
String
Performance Tips:
Works well within 8k characters or less
LLM NameLlama 3.1 Minitron 4B Depth Base
Repository 🤗https://huggingface.co/nvidia/Llama-3.1-Minitron-4B-Depth-Base 
Model Size4b
Required VRAM9.1 GB
Updated2025-03-12
Maintainernvidia
Model Typellama
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.43.3
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-Depth-Base.

Rank the Llama 3.1 Minitron 4B Depth Base 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 v20241227
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