saiga_nemo_12b_sft_m9_d16_slerp

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