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A product of an amateur merger. I like it due to the fact that it combines both Orca2 understanding and Pyg's dialogue style (using mythalion for consistency). - shotmisser64

This model was made by ShotMisser64 using the following mergekit yaml:

slices:
  - sources:
    - model: output/Orca2flat
      layer_range: [0, 13]
  - sources:
    - model: PygmalionAI/mythalion-13b
      layer_range: [3, 22]
  - sources:
    - model: output/Orca2flat
      layer_range: [14, 27]
  - sources:
    - model: PygmalionAI/mythalion-13b
      layer_range: [23, 40]
merge_method: passthrough
dtype: float16

The Orca2flat model uses the following mergekit yaml:

merge_method: task_arithmetic
base_model: TheBloke/Llama-2-13B-fp16
models:
  - model: TheBloke/Llama-2-13B-fp16
  - model: microsoft/Orca-2-13b
    parameters:
      weight: 1.0
dtype: float16

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