I just merged two RP models that I thought were good with AlphaMonarch this is nothing special(I don't know what I'm doing), but it is working well for me.

This model is a merge of mlabonne/AlphaMonarch-7B with Test157t/Kunocchini-7b-128k-test result merged with localfultonextractor/Erosumika-7B

ChatML and Alpaca work (Alpaca recommended)


base_model:

  • localfultonextractor/Erosumika-7B

Erokuna

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Merges/Alpha-Kunoccini
        layer_range: [0, 32]
      - model: localfultonextractor/Erosumika-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: Merges/Alpha-Kunoccini
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: float16
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Model size
7.24B params
Architecture
llama
Hardware compatibility
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