KoQuality Polyglot 5.8B by DILAB-HYU

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  Autotrain compatible Base model:eleutherai/polyglot... Base model:finetune:eleutherai...   Dataset:dilab-hyu/koquality   Endpoints compatible   Generated from trainer   Gpt-neox   Gpt neox   Ko   Koquality   Polyglot-ko   Pytorch   Region:us   Sharded

KoQuality Polyglot 5.8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KoQuality Polyglot 5.8B (DILAB-HYU/KoQuality-Polyglot-5.8b)

KoQuality Polyglot 5.8B Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
KoQuality dataset
Methodology:
Fine-tuning
Hardware Used:
multi-GPU (A100 80G)
LLM NameKoQuality Polyglot 5.8B
Repository ๐Ÿค—https://huggingface.co/DILAB-HYU/KoQuality-Polyglot-5.8b 
Base Model(s)  EleutherAI/polyglot-ko-5.8b   EleutherAI/polyglot-ko-5.8b
Model Size5.8b
Required VRAM23.6 GB
Updated2024-12-21
MaintainerDILAB-HYU
Model Typegpt_neox
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   3.7 GB: 3-of-3
Supported Languagesko
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size30003
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than DILAB-HYU/KoQuality-Polyglot-5.8b.

Rank the KoQuality Polyglot 5.8B 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 v20241217