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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: 6.57
LLME Score: 0.41247
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)
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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
Updated2025-09-23
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

Quantized Models of the Llama 3.1 8B

Model
Likes
Downloads
VRAM
Llama 3.1 8B Unsloth Bnb 4bit447286 GB
Llama3.1 8B Sonnet1416 GB

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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 v20241124
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