Meta Llama 3 70B Instruct Hf by Undi95

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Meta Llama 3 70B Instruct Hf Benchmarks

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 Hf (Undi95/Meta-Llama-3-70B-Instruct-hf)

Meta Llama 3 70B Instruct Hf Parameters and Internals

Model Type 
pretrained, instruction tuned, generative text models, language model
Use Cases 
Areas:
commercial use, research use
Primary Use Cases:
assistant-like chat
Limitations:
Use that violates laws or the Acceptable Use Policy
Considerations:
Fine-tuning is encouraged for non-English deployment; safety evaluations required for specific use cases
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:
8000
Hardware Used:
Meta's Research SuperCluster, production clusters, third-party cloud compute
Model Architecture:
auto-regressive language model with optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Risk Categories:
CBRNE, cyber security, child safety
Ethical Considerations:
Iterative testing for CBRNE threats; use of external expertise for safety evaluation
Responsible Ai Considerations 
Fairness:
Considerations for fairness and safety through responsible AI practices
Transparency:
Commitment to transparency in safety implementations
Accountability:
Developers are encouraged to implement safety tools and responsible safety practices
Mitigation Strategies:
Updated Responsible Use Guide, community feedback and engagement
Input Output 
Accepted Modalities:
text
Release Notes 
Date:
April 18, 2024
Notes:
Meta Llama 3 officially released.
LLM NameMeta Llama 3 70B Instruct Hf
Repository ๐Ÿค—https://huggingface.co/Undi95/Meta-Llama-3-70B-Instruct-hf 
Model Size70b
Required VRAM141.9 GB
Updated2025-02-22
MaintainerUndi95
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 Undi95/Meta-Llama-3-70B-Instruct-hf.

Rank the Meta Llama 3 70B Instruct Hf 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227