Lumiere-120b

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

Quants

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: linear
parameters:
  weight: 1.0
slices:
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [0, 1]
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [0, 1]
        parameters:
          weight: 0
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [1, 20]
  - sources:
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [10, 30]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [20, 40]
  - sources:
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [30, 50]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [40, 60]
  - sources:
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [50, 70]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [60, 79]
  - sources:
      - model: Undi95/Miqu-70B-Alpaca-DPO
        layer_range: [79, 80]
      - model: Sao10K/Euryale-1.3-L2-70B
        layer_range: [79, 80]
        parameters:
          weight: 0
dtype: float16
tokenizer_source: model:Undi95/Miqu-70B-Alpaca-DPO