tmp

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

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042 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/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936

Configuration

The following YAML configuration was used to produce this model:

base_model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 4]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: 1.4789314607153292
  - layer_range: [0, 4]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: -0.07832427503458578
  - layer_range: [0, 4]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: 0.13007468603078542
- sources:
  - layer_range: [4, 8]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: 0.4483365644314186
  - layer_range: [4, 8]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: 0.16093134122246358
  - layer_range: [4, 8]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: -0.1488430200266594
- sources:
  - layer_range: [8, 12]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: -0.269727274803052
  - layer_range: [8, 12]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: -0.3755435960674383
  - layer_range: [8, 12]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: -0.2516657269635488
- sources:
  - layer_range: [12, 16]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: 1.0256352345282738
  - layer_range: [12, 16]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: 0.09650999485083946
  - layer_range: [12, 16]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: 0.1027707396989868
- sources:
  - layer_range: [16, 20]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: 0.48894736524264926
  - layer_range: [16, 20]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: 0.2781634870717354
  - layer_range: [16, 20]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: 0.36692173901259717
- sources:
  - layer_range: [20, 24]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: -0.8662869061036966
  - layer_range: [20, 24]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: 0.31966012442261516
  - layer_range: [20, 24]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: 0.279482404393017
- sources:
  - layer_range: [24, 28]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: -0.392804806487449
  - layer_range: [24, 28]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: 0.16459417480133676
  - layer_range: [24, 28]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: 0.3896145044637547
- sources:
  - layer_range: [28, 32]
    model: ./evol_merge_storage/input_models/RakutenAI-7B-instruct_2471054042
    parameters:
      weight: 1.4221277582195517
  - layer_range: [28, 32]
    model: ./evol_merge_storage/input_models/Mistral-7B-v0.1-coder-sql-en-v0.1_3262149936
    parameters:
      weight: 0.8487897976056422
  - layer_range: [28, 32]
    model: ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
    parameters:
      weight: -0.3464180330027282
tokenizer_source: base
Downloads last month
14
Safetensors
Model size
7.37B 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.