output-model
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the breadcrumbs_ties merge method using lemon07r/Gemma-2-Ataraxy-9B as a base.
Models Merged
The following models were included in the merge:
- rtzr/ko-gemma-2-9b-it + kdt3/1101_3_tab_v2.2.split.2_512
- wzhouad/gemma-2-9b-it-WPO-HB
- rtzr/ko-gemma-2-9b-it + ghost613/gemma9_on_korean_summary_events
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: lemon07r/Gemma-2-Ataraxy-9B
layer_range: [0, 42]
parameters:
weight: 1
density: 0.7
gamma: 0.03
- model: wzhouad/gemma-2-9b-it-WPO-HB
layer_range: [0, 42]
parameters:
weight: 1
density: 0.42
gamma: 0.03
- model: rtzr/ko-gemma-2-9b-it+kdt3/1101_3_tab_v2.2.split.2_512
layer_range: [0, 42]
parameters:
weight: 1
density: 0.42
gamma: 0.03
- model: rtzr/ko-gemma-2-9b-it+ghost613/gemma9_on_korean_summary_events # lora model loading
layer_range: [0, 42]
parameters:
weight: 1
density: 0.42
gamma: 0.03
merge_method: breadcrumbs_ties
base_model: lemon07r/Gemma-2-Ataraxy-9B
dtype: bfloat16
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