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Kullm Polyglot 5.8B V2 by nlpai-lab

 »  All LLMs  »  nlpai-lab  »  Kullm Polyglot 5.8B V2   URL Share it on

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  Autotrain compatible   Dataset:nlpai-lab/kullm-v2   Endpoints compatible   Gpt neox   Ko   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/nlpai-lab/kullm-polyglot-5.8b-v2 

Kullm Polyglot 5.8B V2 Benchmarks

LLME Score: 0.11426
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kullm Polyglot 5.8B V2 (nlpai-lab/kullm-polyglot-5.8b-v2)
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Kullm Polyglot 5.8B V2 Parameters and Internals

Model Type 
parameter-efficient, fine-tuned
Additional Notes 
This model is a parameter-efficient variant of EleutherAI's polyglot-ko-5.8b, fine-tuned for Korean language tasks. Training was distributed across 4 GPUs with specific hyperparameter settings for optimization.
Supported Languages 
ko (Korean)
Training Details 
Data Sources:
nlpai-lab/kullm-v2
Methodology:
Fine-tuning with parameter-efficient methods
Hardware Used:
4x A100 80G GPUs
LLM NameKullm Polyglot 5.8B V2
Repository 🤗https://huggingface.co/nlpai-lab/kullm-polyglot-5.8b-v2 
Model Size5.8b
Required VRAM23.6 GB
Updated2025-09-18
Maintainernlpai-lab
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 Version4.29.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size30080
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than nlpai-lab/kullm-polyglot-5.8b-v2.

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