Edit model card

final_merge

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/input_models/Swallow-MS-7b-v0.1_259979065 as a base.

Models Merged

The following models were included in the merge:

  • ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
  • ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980

Configuration

The following YAML configuration was used to produce this model:

base_model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 4]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 0.6849374987082797
      weight: 0.41688291356235085
  - layer_range: [0, 4]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.22402138180057965
  - layer_range: [0, 4]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 1.0
      weight: 0.14273100451544973
- sources:
  - layer_range: [4, 8]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 1.0
      weight: 0.27745773580979954
  - layer_range: [4, 8]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 0.8641797141160683
      weight: 0.21900101081627826
  - layer_range: [4, 8]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 0.7045066746748807
      weight: 0.27219079838557547
- sources:
  - layer_range: [8, 12]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 0.9344897829414548
      weight: 0.39771623371112386
  - layer_range: [8, 12]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.5638393619932354
  - layer_range: [8, 12]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 1.0
      weight: 0.45491072302164476
- sources:
  - layer_range: [12, 16]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 1.0
      weight: 0.043782836287435234
  - layer_range: [12, 16]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.12905392091616227
  - layer_range: [12, 16]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 1.0
      weight: 0.32911680921058395
- sources:
  - layer_range: [16, 20]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 1.0
      weight: 0.33223757646195995
  - layer_range: [16, 20]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.21148775085590665
  - layer_range: [16, 20]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 1.0
      weight: 0.3100840123708662
- sources:
  - layer_range: [20, 24]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 1.0
      weight: 0.047668810469104206
  - layer_range: [20, 24]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.38364985576700883
  - layer_range: [20, 24]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 1.0
      weight: 0.7458689345554008
- sources:
  - layer_range: [24, 28]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 1.0
      weight: 0.6585871690360476
  - layer_range: [24, 28]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.11141636691846393
  - layer_range: [24, 28]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 1.0
      weight: 0.6680264219734943
- sources:
  - layer_range: [28, 32]
    model: ../evol_merge_storage/input_models/Swallow-MS-7b-v0.1_259979065
    parameters:
      density: 1.0
      weight: 0.554815190090898
  - layer_range: [28, 32]
    model: ../evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.38561479058158477
  - layer_range: [28, 32]
    model: ../evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      density: 0.9671800407644409
      weight: 0.16533929845269846
tokenizer_source: base
Downloads last month
7
Safetensors
Model size
7.33B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.