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Meta Llama 3 70B Instruct by NousResearch

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Model Card on HF 🤗: https://huggingface.co/NousResearch/Meta-Llama-3-70B-Instruct 

Meta Llama 3 70B Instruct Benchmarks

LLME Score: 0.23329
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 70B Instruct (NousResearch/Meta-Llama-3-70B-Instruct)

Meta Llama 3 70B Instruct Parameters and Internals

Model Type 
text generation, code generation
Use Cases 
Areas:
Commercial, Research
Applications:
Dialogue use cases, Natural language generation
Primary Use Cases:
Assistant-like chat, Adaptation for various tasks
Limitations:
Use in non-English languages bypassing the license, Violation of laws or use policies
Considerations:
Developers can fine-tune for other languages following the license and use policy.
Additional Notes 
In developing these models, the goal was to optimize for helpfulness and safety. Emphasis on community contributions for improving the Llama technology.
Supported Languages 
English (Primary)
Training Details 
Data Sources:
Publicly available online data
Data Volume:
15 trillion tokens
Methodology:
Supervised fine-tuning and reinforcement learning with human feedback
Hardware Used:
Meta's Research SuperCluster, Third-party cloud compute
Model Architecture:
Auto-regressive language model with transformer architecture, tuned using SFT and RLHF.
Safety Evaluation 
Methodologies:
Red-teaming, Adversarial evaluations
Findings:
Residual risks remain, mitigations implemented
Risk Categories:
Cybersecurity, Child Safety
Ethical Considerations:
Developed considering responsible AI practices, with guides and resources provided to the community.
Responsible Ai Considerations 
Mitigation Strategies:
Llama Guard and Code Shield safeguards provided for safety mitigation.
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text, Code
Release Notes 
Version:
April 18, 2024
Notes:
Meta released Llama 3 models optimized for helpfulness and safety in two sizes, 8B and 70B parameters.
LLM NameMeta Llama 3 70B Instruct
Repository 🤗https://huggingface.co/NousResearch/Meta-Llama-3-70B-Instruct 
Model Size70b
Required VRAM141.9 GB
Updated2025-05-01
MaintainerNousResearch
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
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
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-3-70B-Instruct.

Rank the Meta Llama 3 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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