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Yosegi-0604

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metadata
base_model: []
library_name: transformers
tags:
  - mergekit
  - merge

final_model

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

Merge Details

Merge Method

This model was merged using the breadcrumbs_ties merge method using ./Yosegi-0603 as a base.

Models Merged

The following models were included in the merge:

  • ./Ninja-2B_JP
  • ./Yosegi-0601

Configuration

The following YAML configuration was used to produce this model:

base_model: ./Yosegi-0603
dtype: bfloat16
merge_method: breadcrumbs_ties
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 2]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
        value: 1.0
      - filter: mlp
        value: 1.0
      - value: 1.0
      gamma:
      - filter: self_attn
        value: -0.050387850856855765
      - filter: mlp
        value: -0.17075015661203768
      - value: -0.008041653902986862
      weight:
      - filter: self_attn
        value: 0.0999312941470471
      - filter: mlp
        value: 0.541727762184749
      - value: 0.6837012779994258
  - layer_range: [0, 2]
    model: ./Ninja-2B_JP
    parameters:
      density:
      - filter: self_attn
        value: 0.8218846237599902
      - filter: mlp
        value: 1.0
      - value: 0.9254078866667358
      gamma:
      - filter: self_attn
        value: -0.11213758231875963
      - filter: mlp
        value: 0.021586098873668948
      - value: -0.12827998218659437
      weight:
      - filter: self_attn
        value: 0.40391646444657003
      - filter: mlp
        value: 0.623121864641881
      - value: 0.5967833694632534
  - layer_range: [0, 2]
    model: ./Yosegi-0603
- sources:
  - layer_range: [2, 4]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
        value: 0.8079479346300947
      - filter: mlp
        value: 1.0
      - value: 0.710146185559419
      gamma:
      - filter: self_attn
        value: 0.1383609589681566
      - filter: mlp
        value: 0.21188532059635062
      - value: 0.2994723556443468
      weight:
      - filter: self_attn
        value: 0.48107070906079974
      - filter: mlp
        value: 0.5848073552919492
      - value: 0.4583842493359253
  - layer_range: [2, 4]
    model: ./Ninja-2B_JP
    parameters:
      density:
      - filter: self_attn
        value: 1.0
      - filter: mlp
        value: 0.934378153535579
      - value: 1.0
      gamma:
      - filter: self_attn
        value: 0.073192612278188
      - filter: mlp
        value: 0.07939126555063317
      - value: -0.06891845030175699
      weight:
      - filter: self_attn
        value: 0.32120386994101
      - filter: mlp
        value: 0.5001108459121922
      - value: 0.9138710221666694
  - layer_range: [2, 4]
    model: ./Yosegi-0603
- sources:
  - layer_range: [4, 6]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
        value: 1.0
      - filter: mlp
        value: 0.7237519222177541
      - value: 0.776951124863642
      gamma:
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      - filter: mlp
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      - value: -0.11401593728931929
      weight:
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        value: 0.6448742737026658
      - filter: mlp
        value: 0.13809748641457986
      - value: 0.3950550285769662
  - layer_range: [4, 6]
    model: ./Ninja-2B_JP
    parameters:
      density:
      - filter: self_attn
        value: 0.9649359194114893
      - filter: mlp
        value: 0.916637032428399
      - value: 1.0
      gamma:
      - filter: self_attn
        value: -0.16291684846287688
      - filter: mlp
        value: -0.19013548712121703
      - value: 0.038409066391918795
      weight:
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      - filter: mlp
        value: 0.22661167907612348
      - value: 0.6426575016448257
  - layer_range: [4, 6]
    model: ./Yosegi-0603
- sources:
  - layer_range: [6, 8]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
        value: 0.8727809666891416
      - filter: mlp
        value: 1.0
      - value: 0.5160677785559116
      gamma:
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      - filter: mlp
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      - value: -0.1038827997670827
      weight:
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      - filter: mlp
        value: 0.4047231670507743
      - value: 0.34207794631274374
  - layer_range: [6, 8]
    model: ./Ninja-2B_JP
    parameters:
      density:
      - filter: self_attn
        value: 1.0
      - filter: mlp
        value: 1.0
      - value: 1.0
      gamma:
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        value: 0.576775501046583
      - filter: mlp
        value: -0.046028636298718645
      - value: -0.024161321403060265
      weight:
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      - filter: mlp
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      - value: 0.2946693008513797
  - layer_range: [6, 8]
    model: ./Yosegi-0603
- sources:
  - layer_range: [8, 10]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
        value: 1.0
      - filter: mlp
        value: 1.0
      - value: 0.9930269337531187
      gamma:
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        value: 0.4549980941970383
      - filter: mlp
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      weight:
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      - value: 0.7465091417598162
  - layer_range: [8, 10]
    model: ./Ninja-2B_JP
    parameters:
      density:
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      - value: 1.0
      gamma:
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      weight:
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      - filter: mlp
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      - value: 0.7636921732342238
  - layer_range: [8, 10]
    model: ./Yosegi-0603
- sources:
  - layer_range: [10, 12]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
        value: 0.8047576867589878
      - filter: mlp
        value: 0.8852533319203653
      - value: 0.7707342647603538
      gamma:
      - filter: self_attn
        value: -0.054343999574509694
      - filter: mlp
        value: -0.3465154355167133
      - value: 0.022315854655582765
      weight:
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      - filter: mlp
        value: 0.34318396468602314
      - value: 0.8236034746664869
  - layer_range: [10, 12]
    model: ./Ninja-2B_JP
    parameters:
      density:
      - filter: self_attn
        value: 0.9058471193805165
      - filter: mlp
        value: 1.0
      - value: 1.0
      gamma:
      - filter: self_attn
        value: 0.1221058588826469
      - filter: mlp
        value: -0.4004985640890659
      - value: 0.3219195440395816
      weight:
      - filter: self_attn
        value: 0.3565443612269864
      - filter: mlp
        value: 0.2817057075232181
      - value: 0.5934890337808251
  - layer_range: [10, 12]
    model: ./Yosegi-0603
- sources:
  - layer_range: [12, 14]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
        value: 1.0
      - filter: mlp
        value: 1.0
      - value: 1.0
      gamma:
      - filter: self_attn
        value: -0.027897116191693133
      - filter: mlp
        value: -0.1765379388255607
      - value: 0.09108936063176161
      weight:
      - filter: self_attn
        value: 0.4499753137521779
      - filter: mlp
        value: 0.901296236087911
      - value: 0.3548680126954006
  - layer_range: [12, 14]
    model: ./Ninja-2B_JP
    parameters:
      density:
      - filter: self_attn
        value: 0.8973815150776497
      - filter: mlp
        value: 0.6029953465961999
      - value: 1.0
      gamma:
      - filter: self_attn
        value: 0.10393082898402586
      - filter: mlp
        value: 0.15993577688878796
      - value: 0.011410411917833683
      weight:
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      - filter: mlp
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      - value: 0.1316535663010981
  - layer_range: [12, 14]
    model: ./Yosegi-0603
- sources:
  - layer_range: [14, 16]
    model: ./Yosegi-0601
    parameters:
      density:
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        value: 0.9584597245055072
      - filter: mlp
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      - value: 1.0
      gamma:
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      weight:
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      - filter: mlp
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      - value: 0.3736989395186422
  - layer_range: [14, 16]
    model: ./Ninja-2B_JP
    parameters:
      density:
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      - filter: mlp
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      gamma:
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      - value: 0.838902157446268
  - layer_range: [14, 16]
    model: ./Yosegi-0603
- sources:
  - layer_range: [16, 18]
    model: ./Yosegi-0601
    parameters:
      density:
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      gamma:
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  - layer_range: [16, 18]
    model: ./Ninja-2B_JP
    parameters:
      density:
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      - filter: mlp
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      gamma:
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      weight:
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  - layer_range: [16, 18]
    model: ./Yosegi-0603
- sources:
  - layer_range: [18, 20]
    model: ./Yosegi-0601
    parameters:
      density:
      - filter: self_attn
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      gamma:
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    model: ./Ninja-2B_JP
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    model: ./Yosegi-0603
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    model: ./Ninja-2B_JP
    parameters:
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    model: ./Yosegi-0603
- sources:
  - layer_range: [22, 24]
    model: ./Yosegi-0601
    parameters:
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    model: ./Ninja-2B_JP
    parameters:
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    model: ./Yosegi-0603
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    parameters:
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    model: ./Ninja-2B_JP
    parameters:
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    model: ./Yosegi-0603
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    parameters:
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    model: ./Ninja-2B_JP
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    model: ./Yosegi-0603
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    model: ./Yosegi-0603
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    model: ./Yosegi-0601
    parameters:
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    model: ./Ninja-2B_JP
    parameters:
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      - filter: mlp
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      - value: 0.7204857820148367
  - layer_range: [30, 32]
    model: ./Yosegi-0603
tokenizer_source: union