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Llama 3 1 Nemotron 51B Instruct by nvidia

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  Arxiv:2009.03300   Arxiv:2110.14168   Arxiv:2306.05685   Arxiv:2404.05993   Autotrain compatible   Conversational   Custom code   En   Instruct   Llama-3   Nemotron-nas   Nvidia   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 1 Nemotron 51B Instruct Benchmarks

LLME Score: 0.46863
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 51B Instruct Parameters and Internals

LLM NameLlama 3 1 Nemotron 51B Instruct
Repository 🤗https://huggingface.co/nvidia/Llama-3_1-Nemotron-51B-Instruct 
Model Size51b
Required VRAM103.4 GB
Updated2024-10-11
Maintainernvidia
Model Typenemotron-nas
Instruction-BasedYes
Model Files  5.0 GB: 1-of-22   4.9 GB: 2-of-22   4.9 GB: 3-of-22   4.6 GB: 4-of-22   5.0 GB: 5-of-22   5.0 GB: 6-of-22   4.7 GB: 7-of-22   4.7 GB: 8-of-22   4.7 GB: 9-of-22   5.0 GB: 10-of-22   5.0 GB: 11-of-22   4.7 GB: 12-of-22   4.7 GB: 13-of-22   4.7 GB: 14-of-22   4.9 GB: 15-of-22   5.0 GB: 16-of-22   4.9 GB: 17-of-22   4.7 GB: 18-of-22   4.7 GB: 19-of-22   4.7 GB: 20-of-22   4.8 GB: 21-of-22   2.1 GB: 22-of-22
Supported Languagesen
Model ArchitectureDeciLMForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 1 Nemotron 51B Instruct (nvidia/Llama-3_1-Nemotron-51B-Instruct)

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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 v2024072803
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