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Polyglot Ko 5.8B Inst by nayohan

 »  All LLMs  »  nayohan  »  Polyglot Ko 5.8B Inst   URL Share it on

  2017   
  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
Model Card on HF 🤗: https://huggingface.co/nayohan/polyglot-ko-5.8b-Inst 

Polyglot Ko 5.8B Inst Benchmarks

LLME Score: 0.15721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Polyglot Ko 5.8B Inst (nayohan/polyglot-ko-5.8b-Inst)

Polyglot Ko 5.8B Inst Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a test version that was learned by integrating several Instruction datasets.
Training Details 
Hardware Used:
multi-GPU (A30 24G), CPU Offloading
LLM NamePolyglot Ko 5.8B Inst
Repository 🤗https://huggingface.co/nayohan/polyglot-ko-5.8b-Inst 
Base Model(s)  EleutherAI/polyglot-ko-5.8b   EleutherAI/polyglot-ko-5.8b
Model Size5.8b
Required VRAM23.6 GB
Updated2025-02-22
Maintainernayohan
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 nayohan/polyglot-ko-5.8b-Inst.

Rank the Polyglot Ko 5.8B Inst 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 v20241227
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