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Llama 3.1 8B by meta-llama

 »  All LLMs  »  meta-llama  »  Llama 3.1 8B   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-3.1-8B 

Llama 3.1 8B Benchmarks

MMLU Pro: 25.42
GPQA: 8.05
MUSR: 8.72
BBH: 25.3
IFEval: 12.46 vs 88 (so35)-85.8%
MATH Lvl 5: 5.36
LLME Score: 0.50797
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 8B (meta-llama/Llama-3.1-8B)

Llama 3.1 8B Parameters and Internals

Model Type 
text generation, multilingual
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation tasks
Primary Use Cases:
Multilingual dialogue, Synthetic data generation
Limitations:
Usage in unsanctioned languages or illegal activities prohibited.
Considerations:
Developers responsible for additional finetuning for unsupported languages.
Supported Languages 
English (High), German (High), French (High), Italian (High), Portuguese (High), Hindi (High), Spanish (High), Thai (High)
Training Details 
Data Sources:
Publicly available online data
Data Volume:
~15 trillion tokens
Methodology:
Supervised fine-tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF)
Context Length:
128000
Training Time:
39.3M GPU hours
Hardware Used:
H100-80GB GPUs, custom-built GPU clusters
Model Architecture:
Auto-regressive transformer architecture with Grouped-Query Attention (GQA)
Safety Evaluation 
Methodologies:
Red teaming, Adversarial evaluation
Findings:
Addressed risks in areas such as CBRNE, child safety, cyber attack enablement
Risk Categories:
Misinformation, Bias, Security threats
Ethical Considerations:
Emphasized responsible use and transparency in deployment.
Responsible Ai Considerations 
Fairness:
Implemented safety fine-tuning to mitigate biases.
Transparency:
Open release to community for evaluation and improvement.
Accountability:
Developers responsible for deployment safety.
Mitigation Strategies:
Use of human feedback and LLM-based classifiers for data quality control.
Input Output 
Input Format:
Text
Accepted Modalities:
Multilingual Text
Output Format:
Text and Code
Release Notes 
Version:
3.1
Date:
2024-07-23
Notes:
Increased contextual length, multilingual expansion, improved safety and performance.
LLM NameLlama 3.1 8B
Repository 🤗https://huggingface.co/meta-llama/Llama-3.1-8B 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
Maintainermeta-llama
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.1 8B 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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Release v20241217
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