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Koquality Polyglot 12.8B by DILAB-HYU

 »  All LLMs  »  DILAB-HYU  »  Koquality Polyglot 12.8B   URL Share it on

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  Autotrain compatible Base model:eleutherai/polyglot... Base model:finetune:eleutherai...   Dataset:dilab-hyu/koquality   Endpoints compatible   Gpt-neox   Gpt neox   Ko   Koquality   Polyglot-ko   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DILAB-HYU/koquality-polyglot-12.8b 

Koquality Polyglot 12.8B Benchmarks

LLME Score: 0.13206
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Koquality Polyglot 12.8B (DILAB-HYU/koquality-polyglot-12.8b)
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Koquality Polyglot 12.8B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Trained using the KoQuality dataset at 18 steps with specific training hyperparameters.
Supported Languages 
ko (Full)
Training Details 
Data Sources:
DILAB-HYU/KoQuality
Methodology:
Instruct-tuning
Hardware Used:
multi-GPU (A100 80G)
Model Architecture:
GPT-NeoX
LLM NameKoquality Polyglot 12.8B
Repository 🤗https://huggingface.co/DILAB-HYU/koquality-polyglot-12.8b 
Base Model(s)  EleutherAI/polyglot-ko-12.8b   EleutherAI/polyglot-ko-12.8b
Model Size12.8b
Required VRAM51.4 GB
Updated2025-08-17
MaintainerDILAB-HYU
Model Typegpt_neox
Model Files  4.8 GB: 1-of-11   4.9 GB: 2-of-11   4.7 GB: 3-of-11   4.6 GB: 4-of-11   4.6 GB: 5-of-11   4.9 GB: 6-of-11   4.7 GB: 7-of-11   4.6 GB: 8-of-11   4.6 GB: 9-of-11   4.9 GB: 10-of-11   4.1 GB: 11-of-11
Supported Languagesko
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.0
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-12.8b.

Rank the Koquality Polyglot 12.8B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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