biomistral_e57b_merge_tydien

final_merge_biomistral_e57b_tydien

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088 as a base.

Models Merged

The following models were included in the merge:

• ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449

Configuration

The following YAML configuration was used to produce this model:

base_model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 4]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.8367579275276175
      weight: 0.4706008624766047
  - layer_range: [0, 4]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.6199244761272209
      weight: 0.49607199958757875
- sources:
  - layer_range: [4, 8]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.6844013361793727
      weight: 0.35766754240777654
  - layer_range: [4, 8]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.8139831864708157
      weight: 0.5914251642547961
- sources:
  - layer_range: [8, 12]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.8624665482114445
  - layer_range: [8, 12]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.9653265129666598
      weight: 0.3766720607532875
- sources:
  - layer_range: [12, 16]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.07115038977000693
  - layer_range: [12, 16]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 1.0
      weight: 0.5584722470438896
- sources:
  - layer_range: [16, 20]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.8512047827855883
      weight: 0.452376407390558
  - layer_range: [16, 20]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.8031611968588412
      weight: 0.7515473420070091
- sources:
  - layer_range: [20, 24]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.976603252481838
      weight: 0.3562637891615101
  - layer_range: [20, 24]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.6844571720911157
      weight: 0.2577079998117604
- sources:
  - layer_range: [24, 28]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.5572225974858718
      weight: 0.6323397851669135
  - layer_range: [24, 28]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.7949919158615303
      weight: 0.7932895770478385
- sources:
  - layer_range: [28, 32]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.6731678672160955
  - layer_range: [28, 32]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 1.0
      weight: 0.24914084912052575