Llama 3.1 Nemotron 70B Instruct by nvidia

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  Arxiv:2310.05344   Arxiv:2311.09528   Arxiv:2406.08673   Arxiv:2410.01257 Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Dataset:nvidia/helpsteer2   En   Instruct   Llama3.1   Nemo   Nvidia   Region:us

Llama 3.1 Nemotron 70B Instruct 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 Nemotron 70B Instruct (nvidia/Llama-3.1-Nemotron-70B-Instruct)

Llama 3.1 Nemotron 70B Instruct Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Commercial Applications
Additional Notes 
This model is a demonstration of our techniques for improving helpfulness in general-domain instruction following. It has not been tuned for performance in specialized domains such as math.
Supported Languages 
en (high)
Training Details 
Data Sources:
Human, Synthetic
Methodology:
REINFORCE
Model Architecture:
Transformer
Input Output 
Input Format:
String
Accepted Modalities:
Text
Output Format:
String
Release Notes 
Version:
v1.0
LLM NameLlama 3.1 Nemotron 70B Instruct
Repository ๐Ÿค—https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct 
Base Model(s)  meta-llama/Llama-3.1-70B-Instruct   meta-llama/Llama-3.1-70B-Instruct
Model Size70b
Updated2025-02-22
Maintainernvidia
Instruction-BasedYes
Supported Languagesen
Licensellama3.1
Context Length131072
Model Max Length131072

Rank the Llama 3.1 Nemotron 70B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227