merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using unsloth/gemma-2-9b-it as a base.
Models Merged
The following models were included in the merge:
- anthracite-org/magnum-v3-9b-customgemma2
- rtzr/ko-gemma-2-9b-it
- flammenai/Mahou-1.3-gemma2-9B
- AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/gemma-2-9b-it
merge_method: ties
slices:
- sources:
- model: unsloth/gemma-2-9b-it
layer_range: [0, 42]
parameters:
density: 0.5
weight: 0.3
- model: rtzr/ko-gemma-2-9b-it
layer_range: [0, 42]
parameters:
density: 0.45
weight: 0.4
- model: AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity
layer_range: [0, 42]
parameters:
density: 0.4
weight: 0.1
- model: anthracite-org/magnum-v3-9b-customgemma2
layer_range: [0, 42]
parameters:
density: 0.45
weight: 0.15
- model: flammenai/Mahou-1.3-gemma2-9B
layer_range: [0, 42]
parameters:
density: 0.5
weight: 0.05
merge_mode: cat
dtype: bfloat16
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
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