Ko Gemma 2 9B It by rtzr

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  Arxiv:2305.18290   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2-9b   Conversational   Endpoints compatible   Gemma2   Ko   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/rtzr/ko-gemma-2-9b-it 

Ko Gemma 2 9B It Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ko Gemma 2 9B It (rtzr/ko-gemma-2-9b-it)

Ko Gemma 2 9B It Parameters and Internals

Model Type 
text-to-text, decoder-only, large language model
Use Cases 
Areas:
text generation, conversational AI, summarization
Applications:
research, commercial applications
Primary Use Cases:
Korean-language conversational tasks
Limitations:
unsuitable for non-Korean tasks
Considerations:
Ensure cultural and contextual understanding when using the model.
Additional Notes 
Integrates state-of-the-art techniques and datasets for high proficiency in Korean-language text tasks.
Supported Languages 
ko (proficient)
Training Details 
Data Sources:
Orca-Math, dpo-mix-7k
Methodology:
Supervised Fine-Tuning, Direct Preference Optimization
Model Architecture:
decoder-only
Safety Evaluation 
Risk Categories:
misinformation, bias
Input Output 
Input Format:
Text string (question, prompt, or document)
Accepted Modalities:
text
Output Format:
Generated Korean-language text
Performance Tips:
Improve outputs using specified temperature and top_p values.
LLM NameKo Gemma 2 9B It
Repository ๐Ÿค—https://huggingface.co/rtzr/ko-gemma-2-9b-it 
Base Model(s)  Gemma 2 9B   google/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2025-02-05
Maintainerrtzr
Model Typegemma2
Model Files  1.9 GB: 1-of-10   2.0 GB: 2-of-10   2.0 GB: 3-of-10   2.0 GB: 4-of-10   2.0 GB: 5-of-10   2.0 GB: 6-of-10   2.0 GB: 7-of-10   2.0 GB: 8-of-10   2.0 GB: 9-of-10   0.7 GB: 10-of-10
Supported Languagesko
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than rtzr/ko-gemma-2-9b-it.

Rank the Ko Gemma 2 9B It 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