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--- |
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base_model: |
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- davidkim205/ko-gemma-2-9b-it |
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- valeriojob/MedGPT-Gemma2-9B-BA-v.1 |
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- Shaleen123/gemma2-9b-medical |
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- anthracite-org/magnum-v3-9b-customgemma2 |
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- ChuGyouk/ko-med-gemma-2-9b-it-merge2 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the breadcrumbs_ties merge method using [anthracite-org/magnum-v3-9b-customgemma2](https://huggingface.co./anthracite-org/magnum-v3-9b-customgemma2) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [davidkim205/ko-gemma-2-9b-it](https://huggingface.co./davidkim205/ko-gemma-2-9b-it) |
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* [valeriojob/MedGPT-Gemma2-9B-BA-v.1](https://huggingface.co./valeriojob/MedGPT-Gemma2-9B-BA-v.1) |
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* [Shaleen123/gemma2-9b-medical](https://huggingface.co./Shaleen123/gemma2-9b-medical) |
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* [ChuGyouk/ko-med-gemma-2-9b-it-merge2](https://huggingface.co./ChuGyouk/ko-med-gemma-2-9b-it-merge2) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: davidkim205/ko-gemma-2-9b-it |
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layer_range: [0, 42] |
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parameters: |
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weight: 1 |
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density: 0.7 |
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gamma: 0.03 |
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- model: ChuGyouk/ko-med-gemma-2-9b-it-merge2 |
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layer_range: [0, 42] |
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parameters: |
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weight: 1 |
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density: 0.42 |
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gamma: 0.03 |
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- model: Shaleen123/gemma2-9b-medical |
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layer_range: [0, 42] |
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parameters: |
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weight: 1 |
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density: 0.42 |
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gamma: 0.03 |
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- model: valeriojob/MedGPT-Gemma2-9B-BA-v.1 |
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layer_range: [0, 42] |
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parameters: |
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weight: 1 |
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density: 0.42 |
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gamma: 0.03 |
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merge_method: breadcrumbs_ties |
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base_model: anthracite-org/magnum-v3-9b-customgemma2 #rtzr/ko-gemma-2-9b-it+ghost613/gemma9_on_korean_summary_events # lora model loading |
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dtype: float16 |
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``` |
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