Phi 2 Ko V0.1 by daekeun-ml

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  Autotrain compatible   Custom code Dataset:maywell/korean textboo...   Dataset:nampdn-ai/tiny-codes   Dataset:open-orca/openorca   Dataset:wikimedia/wikipedia   En   Ko   Phi   Region:us   Safetensors   Sharded   Tensorflow

Phi 2 Ko V0.1 Benchmarks

Phi 2 Ko V0.1 (daekeun-ml/phi-2-ko-v0.1)

Phi 2 Ko V0.1 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, personal experimentation, proof of concept
Limitations:
Model may not operate correctly as separate verification was not performed
Additional Notes 
This model includes a vocab expansion with Korean vocab. It was developed mainly for personal experimentation, not for commercial use.
Supported Languages 
ko (Korean), en (English)
Training Details 
Data Sources:
wikimedia/wikipedia, maywell/korean_textbooks, nampdn-ai/tiny-codes, Open-Orca/OpenOrca
Data Volume:
5GB
Methodology:
Continued pre-training with vocabulary expansion
Hardware Used:
AWS GPU resources
Model Architecture:
SBERT architecture (BBPE)
Input Output 
Input Format:
Tokenized Korean and English text
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
Consider fine-tuning such as instruction tuning or alignment tuning according to your use case.
LLM NamePhi 2 Ko V0.1
Repository ๐Ÿค—https://huggingface.co/daekeun-ml/phi-2-ko-v0.1 
Model Size2.9b
Required VRAM5.8 GB
Updated2025-02-22
Maintainerdaekeun-ml
Model Typephi
Model Files  5.0 GB: 1-of-2   0.8 GB: 2-of-2
Supported Languagesko en
Model ArchitecturePhiForCausalLM
Licensecc-by-sa-3.0
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassCodeGenTokenizer
Padding Token!
Vocabulary Size66676
Torch Data Typebfloat16

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Rank the Phi 2 Ko V0.1 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 v20241227