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Llama 3.1 405B by meta-llama

 »  All LLMs  »  meta-llama  »  Llama 3.1 405B   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-3.1-405B 

Llama 3.1 405B Benchmarks

LLME Score: 0.27515
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 405B (meta-llama/Llama-3.1-405B)
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Llama 3.1 405B Parameters and Internals

Model Type 
auto-regressive, transformer, text generation
Use Cases 
Areas:
research, commercial applications
Applications:
multilingual text generation, synthetic data generation
Primary Use Cases:
assistant-like chat, instructional generation
Limitations:
Prohibited for use in unsanctioned languages
Considerations:
Must comply with Llama 3.1 Community License and Acceptable Use Policy.
Additional Notes 
Integrated safety features with community feedback.
Supported Languages 
en (high), de (high), fr (high), it (high), pt (high), hi (high), es (high), th (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:
Meta's custom GPU cluster
Model Architecture:
Optimized transformer
Safety Evaluation 
Methodologies:
adversarial testing, red teaming
Risk Categories:
misinformation, bias, child safety, cyber attack enablement
Ethical Considerations:
Emphasizes openness, inclusivity, and helpfulness.
Responsible Ai Considerations 
Fairness:
Addressed through careful data selection and fine tuning methodology.
Transparency:
Documented in various model reports and guides.
Accountability:
Developers using Llama 3.1 are responsible for model deployment.
Mitigation Strategies:
Incorporating Prompt Guard, Llama Guard 3.
Input Output 
Input Format:
Multilingual Text
Accepted Modalities:
text
Output Format:
Multilingual Text and code
Performance Tips:
Fine-tuning recommended for non-8 supported languages.
Release Notes 
Version:
3.1
Date:
July 23, 2024
Notes:
Introduced longer context window, multilingual support etc.
LLM NameLlama 3.1 405B
Repository 🤗https://huggingface.co/meta-llama/Llama-3.1-405B 
Model Size405b
Required VRAM183.1 GB
Updated2025-10-21
Maintainermeta-llama
Model Typellama
Model Files  4.8 GB: 1-of-191   4.0 GB: 2-of-191   4.6 GB: 3-of-191   4.6 GB: 4-of-191   3.5 GB: 5-of-191   4.6 GB: 6-of-191   4.6 GB: 7-of-191   3.5 GB: 8-of-191   4.6 GB: 9-of-191   4.6 GB: 10-of-191   3.5 GB: 11-of-191   4.6 GB: 12-of-191   4.6 GB: 13-of-191   3.5 GB: 14-of-191   4.6 GB: 15-of-191   4.6 GB: 16-of-191   3.5 GB: 17-of-191   4.6 GB: 18-of-191   4.6 GB: 19-of-191   3.5 GB: 20-of-191   4.6 GB: 21-of-191   4.6 GB: 22-of-191   3.5 GB: 23-of-191   4.6 GB: 24-of-191   4.6 GB: 25-of-191   3.5 GB: 26-of-191   4.6 GB: 27-of-191   4.6 GB: 28-of-191   3.5 GB: 29-of-191   4.6 GB: 30-of-191   4.6 GB: 31-of-191   3.5 GB: 32-of-191   4.6 GB: 33-of-191   4.6 GB: 34-of-191   3.5 GB: 35-of-191   4.6 GB: 36-of-191   4.6 GB: 37-of-191   3.5 GB: 38-of-191   4.6 GB: 39-of-191   4.6 GB: 40-of-191   3.5 GB: 41-of-191   4.6 GB: 42-of-191   4.6 GB: 43-of-191
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Llama-3.1-405B.

Rank the Llama 3.1 405B 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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