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Llama 3 Korean 8B by VIRNECT

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  2224   
  Autotrain compatible   Conversational   En   Endpoints compatible   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF πŸ€—: https://huggingface.co/VIRNECT/llama-3-Korean-8B 

Llama 3 Korean 8B Benchmarks

MMLU Pro: 28.18
GPQA: 2.8
MUSR: 3.03
BBH: 27.56
IFEval: 50.21 vs 88 (so35)-42.9%
MATH Lvl 5: 10.65
LLME Score: 0.29631
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Korean 8B (VIRNECT/llama-3-Korean-8B)

Llama 3 Korean 8B Parameters and Internals

Model Type 
text-generation
Supported Languages 
ko (unknown proficiency), en (unknown proficiency)
Training Details 
Data Sources:
AI Hub - ν•œκ΅­μ–΄ μ„±λŠ₯이 κ°œμ„ λœ μ΄ˆκ±°λŒ€AI μ–Έμ–΄λͺ¨λΈ 개발 및 데이터
LLM NameLlama 3 Korean 8B
Repository πŸ€—https://huggingface.co/VIRNECT/llama-3-Korean-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
MaintainerVIRNECT
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 Languagesko en
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than VIRNECT/llama-3-Korean-8B.

Rank the Llama 3 Korean 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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Release v20241227
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