merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the NuSLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: BioMistral/BioMistral-7B
layer_range: [0, 32]
- model: OdiaGenAI/mistral_hindi_7b_base_v1
layer_range: [0, 32]
weight: [0.5, 0.5] # Equivalent to SLERP t=0.5
nuslerp_flatten: false # Row/column-wise interpolation
nuslerp_row_wise: true # SLERP row vectors instead of column vectors
# Adding the required `merge_method`
merge_method: nuslerp
# Base model is optional, but included for compatibility
parameters:
weight:
- filter: self_attn
value: [1, 0.5, 0.3, 0.7, 0] # Replicating the same t values
- filter: mlp
value: [0, 0.5, 0.7, 0.3, 1] # Reversed values for MLP
- value: 0.5 # Default weight for other layers
dtype: bfloat16
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