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Meta Llama 3 70B by meta-llama

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Meta Llama 3 70B Benchmarks

ARC: 68.77-28.6%
HellaSwag: 87.98-7.7%
MMLU: 79.23-8.4%
TruthfulQA: 45.56-22.8%
WinoGrande: 85.32-2.5%
GSM8K: 76.88-16.4%
nn.n% — How the model compares to the GPT-4.

Meta Llama 3 70B Parameters and Internals

LLM NameMeta Llama 3 70B
RepositoryOpen on 🤗 
Model Size70b
Required VRAM141.9 GB
Updated2024-07-15
Maintainermeta-llama
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 70B (meta-llama/Meta-Llama-3-70B)

Quantized Models of the Meta Llama 3 70B

Model
Likes
Downloads
VRAM
... 2.9.1 Llama 3 70B 6.0bpw EXL231654 GB

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Rank the Meta Llama 3 70B 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 v2024072501
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