Llama Pro Ko 8B by metterian

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Llama Pro Ko 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama Pro Ko 8B (metterian/llama-pro-ko-8b)
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Llama Pro Ko 8B Parameters and Internals

Model Type 
text generation
Additional Notes 
Specifically tailored for Korean language with a bilingual evaluation approach.
Supported Languages 
English (bilingual), Korean (bilingual)
Training Details 
Data Sources:
Korean corpus
Data Volume:
10 billion tokens
Methodology:
Post-training, vocabulary extension
Model Architecture:
Augmented with additional Transformer blocks
LLM NameLlama Pro Ko 8B
Repository ๐Ÿค—https://huggingface.co/metterian/llama-pro-ko-8b 
Model Size8b
Required VRAM17.2 GB
Updated2025-09-20
Maintainermetterian
Model Typellama
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   2.3 GB: 4-of-4
Supported Languagesen ko
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size55878
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than metterian/llama-pro-ko-8b.

Rank the Llama Pro Ko 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124