Yi Ko 6B by beomi

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  01-ai   Autotrain compatible   Doi:10.57967/hf/1708   En   Ko   Llama   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Yi   Yi-ko
Model Card on HF ๐Ÿค—: https://huggingface.co/beomi/Yi-Ko-6B 

Yi Ko 6B Benchmarks

Yi Ko 6B (beomi/Yi-Ko-6B)

Yi Ko 6B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research
Primary Use Cases:
Text generation
Additional Notes 
Yi-Ko series models are advanced iterations of 01-ai/Yi models with expanded vocabulary including Korean/English corpus.
Supported Languages 
en (English), ko (Korean)
Training Details 
Data Sources:
Korean + English online data
Data Volume:
>60B tokens
Methodology:
Auto-regressive language model based on optimized transformer architecture similar to Llama2
Context Length:
4000
Model Architecture:
Transformer architecture based on Llama2, utilized via LlamaForCausalLM
Input Output 
Input Format:
Text only
Accepted Modalities:
text
Output Format:
Text generation
Release Notes 
Version:
Revision 205083a
Date:
2024-01-29
Notes:
New Model beomi/Yi-Ko-DUS-9B Released!
Version:
Revision 205083a
Date:
2023-12-03
Notes:
Yi-Ko(KoEN)-6B Achieved #1 Pretrained Models at Open Korean LLM Leaderboard!
Version:
Revision 205083a
Date:
2023-12-01
Notes:
Alpha Release of Yi-Ko(KoEN)-6B model
LLM NameYi Ko 6B
Repository ๐Ÿค—https://huggingface.co/beomi/Yi-Ko-6B 
Model Size6b
Required VRAM12.4 GB
Updated2025-02-22
Maintainerbeomi
Model Typellama
Model Files  3.0 GB: 1-of-5   2.9 GB: 2-of-5   3.0 GB: 3-of-5   2.9 GB: 4-of-5   0.6 GB: 5-of-5   3.0 GB: 1-of-5   2.9 GB: 2-of-5   3.0 GB: 3-of-5   2.9 GB: 4-of-5   0.6 GB: 5-of-5
Supported Languagesen ko
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size78464
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than beomi/Yi-Ko-6B.

Rank the Yi Ko 6B 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