saiga_nemo_12b_sft_m9_d16_slerp
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36
- models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
Configuration
The following YAML configuration was used to produce this model:
base_model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 40]
model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36
- layer_range: [0, 40]
model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
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