KOR Orca Platypus 13B V3 by kyujinpy

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  Autotrain compatible Dataset:kyujinpy/kor-openorca-...   Endpoints compatible   Ko   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

KOR Orca Platypus 13B V3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KOR Orca Platypus 13B V3 (kyujinpy/KOR-Orca-Platypus-13B-v3)

KOR Orca Platypus 13B V3 Parameters and Internals

Model Type 
text generation
Supported Languages 
ko (Korean)
Training Details 
Data Sources:
kyujinpy/KOR-OpenOrca-Platypus-v3
Methodology:
NEFTune
Hardware Used:
A100 GPU 40GB, COLAB
Model Architecture:
LLaMA2 transformer
Input Output 
Input Format:
text
Output Format:
text
LLM NameKOR Orca Platypus 13B V3
Repository ๐Ÿค—https://huggingface.co/kyujinpy/KOR-Orca-Platypus-13B-v3 
Model Size13b
Required VRAM26 GB
Updated2025-02-22
Maintainerkyujinpy
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than kyujinpy/KOR-Orca-Platypus-13B-v3.

Rank the KOR Orca Platypus 13B V3 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