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Meta Llama 3 70B by meta-llama

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Model Card on HF 🤗: https://huggingface.co/meta-llama/Meta-Llama-3-70B 

Meta Llama 3 70B Benchmarks

MMLU Pro: 41.21
GPQA: 19.69
MUSR: 16.01
BBH: 48.71
IFEval: 16.03 vs 88 (so35)-81.8%
ARC: 68.77 vs 96.7 (so35)-28.9%
HellaSwag: 87.98 vs 95.3 (gpt4)-7.7%
MMLU: 79.23 vs 88.3 (so35)-10.3%
TruthfulQA: 45.56 vs 59 (gpt4)-22.8%
WinoGrande: 85.32 vs 87.5 (gpt4)-2.5%
GSM8K: 76.88 vs 96.4 (so35)-20.2%
MATH Lvl 5: 18.58
LLME Score: 0.33764
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 70B (meta-llama/Meta-Llama-3-70B)
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Meta Llama 3 70B Parameters and Internals

Model Type 
pre-trained, instruction-tuned, large language model, text generation
Use Cases 
Areas:
research, commercial
Applications:
assistant-like chat, natural language generation
Primary Use Cases:
dialogue
Limitations:
English-only currently supported, not tested in all languages
Considerations:
Developers allowed to fine-tune for other languages but must comply with licensing conditions.
Supported Languages 
English (high proficiency)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15 trillion tokens
Methodology:
supervised fine-tuning, reinforcement learning with human feedback
Context Length:
8000
Hardware Used:
H100-80GB GPUs
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
red-teaming, adversarial evaluations
Findings:
reduced false refusals compared to Llama 2
Risk Categories:
disinformation, security, child safety
Ethical Considerations:
Developers advised to perform safety testing and use additional safety tools.
Responsible Ai Considerations 
Fairness:
Unspecified
Transparency:
Updates with responsible use guides
Accountability:
Developers responsible for deployment safety
Mitigation Strategies:
Implemented safety mitigation techniques
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text, code
Release Notes 
Date:
April 18, 2024
Notes:
Meta Llama 3 final release with benchmarks and community guidelines.
LLM NameMeta Llama 3 70B
Repository 🤗https://huggingface.co/meta-llama/Meta-Llama-3-70B 
Model Size70b
Required VRAM141.9 GB
Updated2025-09-23
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

Quantized Models of the Meta Llama 3 70B

Model
Likes
Downloads
VRAM
... 2.9.1 Llama 3 70B 6.0bpw EXL23454 GB

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Rank the Meta Llama 3 70B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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