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Gemma Ko Med by Gunulhona

 »  All LLMs  »  Gunulhona  »  Gemma Ko Med   URL Share it on

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:anthracite-org/magn... Base model:chugyouk/ko-med-gem... Base model:gunulhona/gemma-ko-... Base model:metin/gemma-2-9b-it... Base model:princeton-nlp/gemma... Base model:thedrummer/tiger-ge... Base model:valeriojob/medgpt-g...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Gunulhona/Gemma-Ko-Med 

Gemma Ko Med Benchmarks

LLME Score: 0.23667
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma Ko Med (Gunulhona/Gemma-Ko-Med)

Gemma Ko Med Parameters and Internals

LLM NameGemma Ko Med
Repository 🤗https://huggingface.co/Gunulhona/Gemma-Ko-Med 
Base Model(s)  Gemma Ko Merge   Tiger Gemma 9B V3   valeriojob/MedGPT-Gemma2-9B-BA-v.1   Magnum V3 9B Customgemma2   Gemma 2 9B It SimPO   Ko Med Gemma 2 9B It Merge2   Gemma 2 9B It TR DPO V1   Gunulhona/Gemma-Ko-Merge   TheDrummer/Tiger-Gemma-9B-v3   valeriojob/MedGPT-Gemma2-9B-BA-v.1   anthracite-org/magnum-v3-9b-customgemma2   princeton-nlp/gemma-2-9b-it-SimPO   ChuGyouk/ko-med-gemma-2-9b-it-merge2   Metin/Gemma-2-9b-it-TR-DPO-V1
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2025-01-02
MaintainerGunulhona
Model Typegemma2
Model Files  1.8 GB: 1-of-19   1.8 GB: 2-of-19   1.0 GB: 3-of-19   1.0 GB: 4-of-19   1.0 GB: 5-of-19   1.0 GB: 6-of-19   1.0 GB: 7-of-19   1.0 GB: 8-of-19   1.0 GB: 9-of-19   1.0 GB: 10-of-19   1.0 GB: 11-of-19   1.0 GB: 12-of-19   1.0 GB: 13-of-19   1.0 GB: 14-of-19   1.0 GB: 15-of-19   1.0 GB: 16-of-19   1.0 GB: 17-of-19   1.0 GB: 18-of-19   0.8 GB: 19-of-19
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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MT5 Gen5 Gemma 2 9B8K / 20.4 GB251
Note: green Score (e.g. "73.2") means that the model is better than Gunulhona/Gemma-Ko-Med.

Rank the Gemma Ko Med 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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