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Llama3 8B by Revanthmahesh

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Model Card on HF 🤗: https://huggingface.co/Revanthmahesh/llama3-8b 

Llama3 8B Benchmarks

LLME Score: 0.18859
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B (Revanthmahesh/llama3-8b)

Llama3 8B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks
Limitations:
Use in languages other than English outside the scope
Considerations:
Developers may fine-tune for other languages in compliance with the Community License.
Supported Languages 
en (high)
Training Details 
Data Sources:
publicly available instruction datasets, human-annotated examples
Data Volume:
15 trillion tokens
Methodology:
supervised fine-tuning and reinforcement learning with human feedback
Context Length:
8000
Hardware Used:
H100 80GB GPUs
Model Architecture:
auto-regressive Transformer
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Risk Categories:
misinformation, bias, child safety
Ethical Considerations:
Steps taken to limit misuse and promote responsible AI development.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
Release Notes 
Date:
April 18, 2024
Notes:
Initial release of Llama 3 with a focus on safety and commercial readiness.
LLM NameLlama3 8B
Repository 🤗https://huggingface.co/Revanthmahesh/llama3-8b 
Model Size8b
Required VRAM16.1 GB
Updated2025-01-30
MaintainerRevanthmahesh
Model Typellama
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 ArchitectureAutoModelForCausalLM
Licensellama3
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 Revanthmahesh/llama3-8b.

Rank the Llama3 8B 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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