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Llama 3.1 70B Instruct by meta-llama

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Llama 3.1 70B Instruct Benchmarks

LLME Score: 0.45771
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 70B Instruct Parameters and Internals

LLM NameLlama 3.1 70B Instruct
Repository 🤗https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct 
Base Model(s)  meta-llama/Meta-Llama-3.1-70B   meta-llama/Meta-Llama-3.1-70B
Model Size70b
Required VRAM141.9 GB
Updated2024-10-07
Maintainermeta-llama
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3.1 70B Instruct (meta-llama/Llama-3.1-70B-Instruct)

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Llama-3.1-70B-Instruct.

Rank the Llama 3.1 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  
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Text Summarization and Feature Extraction  
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Release v2024072803
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