Meta Llama 3 8B Instruct by kuotient

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Meta Llama 3 8B Instruct 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 8B Instruct (kuotient/Meta-Llama-3-8B-Instruct)

Meta Llama 3 8B Instruct Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation
Limitations:
Use in languages other than English, Use violating laws or regulations, Prohibited by Acceptable Use Policy
Considerations:
Developers may fine-tune for other languages with compliance.
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
15T+ tokens
Methodology:
Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF)
Context Length:
8000
Hardware Used:
H100-80GB GPUs
Model Architecture:
Auto-regressive Transformer
Safety Evaluation 
Methodologies:
Red teaming, Adversarial Testing
Risk Categories:
Cyber Security, Child Safety
Responsible Ai Considerations 
Fairness:
Developed with an emphasis on responsible AI development to limit misuse and harm.
Transparency:
Collaborates with open consortiums for safety transparency.
Mitigation Strategies:
Includes Meta Llama Guard 2 and Code Shield for safety.
Input Output 
Input Format:
Text
Output Format:
Text and code
Release Notes 
Version:
3
Date:
April 18, 2024
Notes:
Incorporates optimized transformer architecture and safety improvements.
LLM NameMeta Llama 3 8B Instruct
Repository ๐Ÿค—https://huggingface.co/kuotient/Meta-Llama-3-8B-Instruct 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-23
Maintainerkuotient
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
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 kuotient/Meta-Llama-3-8B-Instruct.

Rank the Meta Llama 3 8B Instruct 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 v20241217