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merge

Name: Gemma-Ko-Med
Availability: InStock

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using Gunulhona/Gemma-Ko-Merge as a base.

Models Merged

The following models were included in the 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

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: ChuGyouk/ko-med-gemma-2-9b-it-merge2
    layer_range: [0, 42]
  - model: valeriojob/MedGPT-Gemma2-9B-BA-v.1
    layer_range: [0, 42]
  - model: Gunulhona/Gemma-Ko-Merge
    layer_range: [0, 42]
  - model: TheDrummer/Tiger-Gemma-9B-v3
    layer_range: [0, 42]
  - model: anthracite-org/magnum-v3-9b-customgemma2
    layer_range: [0, 42]
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range: [0, 42]
  - model: Metin/Gemma-2-9b-it-TR-DPO-V1
    layer_range: [0, 42]
merge_method: model_stock
base_model: Gunulhona/Gemma-Ko-Merge
dtype: float16

Gunulhona/Gemma-Ko-Med

merge

Merge Details

Merge Method

Models Merged

Configuration

Gunulhona/
Gemma-Ko-Med