Model Merging (mergekit)
Collection
2 items
โข
Updated
This is a merged model combining Vigogne-2-7B-Instruct and Meditron-7B.
It was extracted using mergekit to create a model that retains both French language capabilities and medical expertise.
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: bofenghuang/vigogne-2-7b-instruct
layer_range: [0, 32]
- model: epfl-llm/meditron-7b
layer_range: [0, 32]
merge_method: slerp
base_model: bofenghuang/vigogne-2-7b-instruct
parameters:
t:
- filter: self_attn
value: [0, 0.6, 0.4, 0.8, 1]
- filter: mlp
value: [1, 0.4, 0.6, 0.2, 0]
- value: 0.5
dtype: bfloat16