Ko-BioMistral-7B
Collection
A Korean Language Model for Biomedical Text
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3 items
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Updated
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1
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: davidkim205/komt-mistral-7b-v1
layer_range:
- 0
- 32
- model: BioMistral/BioMistral-7B
layer_range:
- 0
- 32
merge_method: slerp
base_model: davidkim205/komt-mistral-7b-v1
parameters:
t:
- filter: self_attn
value:
- 0
- 0.5
- 0.3
- 0.7
- 1
- filter: mlp
value:
- 1
- 0.5
- 0.7
- 0.3
- 0
- value: 0.5
dtype: bfloat16