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Ko Gemma 2 9B It by davidkim205

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  Autotrain compatible   Conversational   En   Endpoints compatible   Gemma2   Ko   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/davidkim205/ko-gemma-2-9b-it 

Ko Gemma 2 9B It Benchmarks

LLME Score: 0.20073
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 (davidkim205/ko-gemma-2-9b-it)

Ko Gemma 2 9B It Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is still under research and is expected to improve Korean language models' performance.
Supported Languages 
ko (high), en (medium)
Training Details 
Data Sources:
qa_ability_1851.jsonl
Input Output 
Accepted Modalities:
text
LLM NameKo Gemma 2 9B It
Repository 🤗https://huggingface.co/davidkim205/ko-gemma-2-9b-it 
Model Size9b
Required VRAM18.6 GB
Updated2025-02-22
Maintainerdavidkim205
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesko en
Model ArchitectureGemma2ForCausalLM
Licensellama3
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 davidkim205/ko-gemma-2-9b-it.

Rank the Ko Gemma 2 9B It Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241227
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