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KoAlpaca Polyglot 12.8B by beomi

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  Autotrain compatible Base model:eleutherai/polyglot... Base model:finetune:eleutherai...   Dataset:koalpaca-v1.1b   Endpoints compatible   Generated from trainer   Gpt-neox   Gpt neox   Ko   Koalpaca   Polyglot-ko   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/beomi/KoAlpaca-Polyglot-12.8B 

KoAlpaca Polyglot 12.8B Benchmarks

LLME Score: 0.09747
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KoAlpaca Polyglot 12.8B (beomi/KoAlpaca-Polyglot-12.8B)
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KoAlpaca Polyglot 12.8B Parameters and Internals

Model Type 
text generation
Supported Languages 
ko (high)
Training Details 
Data Sources:
KoAlpaca Dataset v1.1b
Methodology:
Fine-tuning
Hardware Used:
multi-GPU (A100 80G)
Model Architecture:
GPT-NeoX
Release Notes 
Version:
v1.1b
Date:
2023-06-01
Notes:
Add Safetensor sharded model weight (max shard = 1GB)
LLM NameKoAlpaca Polyglot 12.8B
Repository 🤗https://huggingface.co/beomi/KoAlpaca-Polyglot-12.8B 
Base Model(s)  EleutherAI/polyglot-ko-12.8b   EleutherAI/polyglot-ko-12.8b
Model Size12.8b
Required VRAM25.8 GB
Updated2025-09-23
Maintainerbeomi
Model Typegpt_neox
Model Files  0.9 GB: 1-of-28   0.8 GB: 2-of-28   0.8 GB: 3-of-28   1.0 GB: 4-of-28   0.9 GB: 5-of-28   1.0 GB: 6-of-28   0.9 GB: 7-of-28   1.0 GB: 8-of-28   0.9 GB: 9-of-28   1.0 GB: 10-of-28   0.9 GB: 11-of-28   1.0 GB: 12-of-28   0.9 GB: 13-of-28   1.0 GB: 14-of-28   0.9 GB: 15-of-28   1.0 GB: 16-of-28   0.9 GB: 17-of-28   1.0 GB: 18-of-28   0.9 GB: 19-of-28   1.0 GB: 20-of-28   0.9 GB: 21-of-28   1.0 GB: 22-of-28   0.9 GB: 23-of-28   1.0 GB: 24-of-28   0.9 GB: 25-of-28   1.0 GB: 26-of-28   0.9 GB: 27-of-28   0.5 GB: 28-of-28   26.0 GB   0.0 GB
Supported Languagesko
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size30003
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than beomi/KoAlpaca-Polyglot-12.8B.

Rank the KoAlpaca Polyglot 12.8B 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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