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Ko Med Gemma 2 9B It Merge2 by ChuGyouk

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Ko Med Gemma 2 9B It Merge2 is an open-source language model by ChuGyouk. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: cc-by-nc-sa-4.0, Merged, LLM Explorer Score: 0.15.

  Merged Model   Arxiv:2403.01469 Dataset:chugyouk/ai healthcare... Dataset:chugyouk/hfh4 ultracha...   Dataset:sean0042/kormedmcqa   Gemma2   Ko   Medical   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ChuGyouk/ko-med-gemma-2-9b-it-merge2 

Ko Med Gemma 2 9B It Merge2 Benchmarks

LLME Score: 0.1534
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ko Med Gemma 2 9B It Merge2 (ChuGyouk/ko-med-gemma-2-9b-it-merge2)
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Ko Med Gemma 2 9B It Merge2 Parameters and Internals

Model Type 
medical
Additional Notes 
Merges multiple models using the DARE TIES method.
Supported Languages 
Korean (high), English (medium)
Training Details 
Data Sources:
sean0042/KorMedMCQA, ChuGyouk/AI_healthcare_QA_samples_Sonnet3.5, ChuGyouk/HFH4_ultrachat_200k_ko
Data Volume:
449,500 data
Methodology:
continued fine-tuning
Training Time:
65 hours
Hardware Used:
1 A100-80G NVIDIA GPU
Input Output 
Input Format:
Natural language prompts related to medical topics.
Accepted Modalities:
text
Output Format:
Generated text outputs related to medical questions.
LLM NameKo Med Gemma 2 9B It Merge2
Repository 🤗https://huggingface.co/ChuGyouk/ko-med-gemma-2-9b-it-merge2 
Merged ModelYes
Model Size9b
Required VRAM18.6 GB
Updated2025-01-21
MaintainerChuGyouk
Model Typegemma2
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languagesko
Model ArchitectureGemma2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
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 ChuGyouk/ko-med-gemma-2-9b-it-merge2.

Rank the Ko Med Gemma 2 9B It Merge2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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