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Llama 3.1 70B Instruct by meta-llama

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Llama 3.1 70B Instruct is an open-source language model by meta-llama. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.54, ELO: 1293.

  Arxiv:2204.05149 Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Pt   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct 

Llama 3.1 70B Instruct Benchmarks

LMSys ELO: 1293 vs 1272 (so35)1.7%
MMLU Pro: 47.88
GPQA: 14.21
MUSR: 17.69
BBH: 55.93
IFEval: 86.69 vs 88 (so35)-1.5%
MATH Lvl 5: 38.07
LLME Score: 0.5392
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 70B Instruct (meta-llama/Llama-3.1-70B-Instruct)
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Llama 3.1 70B Instruct Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
Commercial, Research
Applications:
Natural Language Generation, Multilingual Dialogue
Primary Use Cases:
Assistant-like chat, Synthetic data generation
Limitations:
Use in unsupported languages without additional safety checks
Considerations:
The Llama 3.1 Community License and Acceptable Use Policy guide permissible use.
Additional Notes 
Developers should adhere to the Llama 3.1 Community License when using the model.
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 and reinforcement learning with human feedback
Context Length:
128000
Training Time:
39.3M GPU hours
Hardware Used:
Meta's custom built GPU cluster
Model Architecture:
Transformer-based auto-regressive language model
Safety Evaluation 
Methodologies:
Red-teaming, Adversarial prompting
Findings:
Cybersecurity uplift, Chemical safety assessments
Risk Categories:
Misinformation, Child Safety, Cybersecurity
Ethical Considerations:
Engagement in responsible AI practices is encouraged.
Responsible Ai Considerations 
Fairness:
Emphasis on mitigation of biases through careful selection and use of data.
Transparency:
Documentation and community engagement to enhance transparency.
Accountability:
Developers are responsible for tailoring model use to their policy requirements.
Mitigation Strategies:
Comprehensive red-teaming.
Input Output 
Input Format:
Multilingual text input
Accepted Modalities:
Text
Output Format:
Multilingual text and code output
Performance Tips:
Use Grouped-Query Attention for enhanced scalability.
Release Notes 
Version:
3.1
Date:
July 23, 2024
Notes:
Multilingual support and improved safety protocols.
LLM NameLlama 3.1 70B Instruct
Repository 🤗https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct 
Base Model(s)  meta-llama/Meta-Llama-3.1-70B   meta-llama/Meta-Llama-3.1-70B
Model Size70b
Required VRAM141.9 GB
Updated2026-04-03
Maintainermeta-llama
Model Typellama
Instruction-BasedYes
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 de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3.1 70B Instruct

Model
Likes
Downloads
VRAM
Naps Llama3.1 70B V0.2 Fp1606142 GB
...0B Instruct HF 4.3bpw 6hb EXL231039 GB
...0B Instruct HF 8.0bpw 8hb EXL23764 GB

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Meta Llama 3.1 70B Instruct128K / 141.9 GB521937513

Rank the Llama 3.1 70B Instruct 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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