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Meta Llama 3.1 405B FP8 by NousResearch

 »  All LLMs  »  NousResearch  »  Meta Llama 3.1 405B FP8   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/NousResearch/Meta-Llama-3.1-405B-FP8 

Meta Llama 3.1 405B FP8 Benchmarks

LLME Score: 0.16557
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3.1 405B FP8 (NousResearch/Meta-Llama-3.1-405B-FP8)
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Meta Llama 3.1 405B FP8 Parameters and Internals

Model Type 
multilingual large language model, generative
Use Cases 
Areas:
commercial, research
Applications:
multilingual dialogue systems
Primary Use Cases:
assistant-like chat
Limitations:
Prohibited uses as described in Acceptable Use Policy and License
Considerations:
Focuses on common industry benchmarks and safety guidelines.
Supported Languages 
en (English), de (German), fr (French), it (Italian), pt (Portuguese), hi (Hindi), es (Spanish), th (Thai)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15 trillion tokens
Methodology:
Pretrained and instruction-tuned using SFT and RLHF
Context Length:
128000
Training Time:
39.3M GPU hours
Hardware Used:
H100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial testing
Risk Categories:
CBRNE (Chemical, Biological, Radiological, Nuclear, and Explosive materials), Child Safety, Cyber attack enablement
Ethical Considerations:
Potential societal impact and misuse prevention measures.
Responsible Ai Considerations 
Fairness:
Commitment to inclusivity and openness.
Transparency:
Providing thorough documentation and usage guidelines.
Accountability:
Meta and developers share responsibilities based on deployment.
Mitigation Strategies:
Introduction of safety guardrails like Llama Guard 3.
Input Output 
Input Format:
Multilingual Text
Accepted Modalities:
text
Output Format:
Multilingual Text and code
Release Notes 
Version:
3.1
Date:
July 23, 2024
Notes:
Multilingual model optimized for dialogue.
LLM NameMeta Llama 3.1 405B FP8
Repository 🤗https://huggingface.co/NousResearch/Meta-Llama-3.1-405B-FP8 
Model Size405b
Required VRAM197.6 GB
Updated2025-10-15
MaintainerNousResearch
Model Typellama
Model Files  4.9 GB: 1-of-109   4.0 GB: 2-of-109   4.7 GB: 3-of-109   4.7 GB: 4-of-109   4.5 GB: 5-of-109   4.4 GB: 6-of-109   4.7 GB: 7-of-109   4.7 GB: 8-of-109   4.7 GB: 9-of-109   4.5 GB: 10-of-109   4.4 GB: 11-of-109   4.7 GB: 12-of-109   4.7 GB: 13-of-109   4.7 GB: 14-of-109   4.5 GB: 15-of-109   4.4 GB: 16-of-109   4.7 GB: 17-of-109   4.7 GB: 18-of-109   4.7 GB: 19-of-109   4.5 GB: 20-of-109   4.4 GB: 21-of-109   4.7 GB: 22-of-109   4.7 GB: 23-of-109   4.7 GB: 24-of-109   4.5 GB: 25-of-109   4.4 GB: 26-of-109   4.7 GB: 27-of-109   4.7 GB: 28-of-109   4.7 GB: 29-of-109   4.5 GB: 30-of-109   4.4 GB: 31-of-109   4.7 GB: 32-of-109   4.7 GB: 33-of-109   4.7 GB: 34-of-109   4.5 GB: 35-of-109   4.4 GB: 36-of-109   4.7 GB: 37-of-109   4.7 GB: 38-of-109   4.7 GB: 39-of-109   4.5 GB: 40-of-109   4.4 GB: 41-of-109   4.7 GB: 42-of-109   4.7 GB: 43-of-109
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.0.dev0
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Meta-Llama-3.1-405B-FP8.

Rank the Meta Llama 3.1 405B FP8 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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