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MixSwap

This is a merge of pre-trained language models created using mergekit, but my branch was used here

Merge Details

Merge Method

This model was merged using the task_swapping merge method using Aryanne/Open-StarLake-Swap-7B as a base.

Models Merged

The following models were included in the merge:

Prompt Format:

I prefer using this way, which seems to work.

Example using Koboldcpp:

Start Seq.:

\nYour_name: 

End Seq.:

\nCharacter_name: 

In Memory

### Instruction:
Character description.

Generate a endless verbose(very descriptive) role-play conversation with Character_name.

### Response:
Your_name: how are you doing babe? *Your_name approaches Character_name and kisses her in the lips*
Character_name: I'm fine, it's been an weird day. *Character_name blushes and hugs Your_name with love*

Configuration

The following YAML configuration was used to produce this model:

base_model:
  model:
    path: Aryanne/Open-StarLake-Swap-7B
dtype: bfloat16
merge_method: task_swapping
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: l3utterfly/mistral-7b-v0.1-layla-v4-chatml
    parameters:
      diagonal_offset: 4.0
      random_mask: 0.1
      random_mask_seed: 1956557.0
      weight: 0.4
  - layer_range: [0, 32]
    model:
      model:
        path: cognitivecomputations/dolphin-2.2.1-mistral-7b
    parameters:
      diagonal_offset: 4.0
      random_mask: 0.1
      random_mask_seed: 18019.0
      weight: 0.333
  - layer_range: [0, 32]
    model:
      model:
        path: teknium/Mistral-Trismegistus-7B
    parameters:
      diagonal_offset: 4.0
      random_mask: 0.05
      random_mask_seed: 666666.0
      weight: 0.5
  - layer_range: [0, 32]
    model:
      model:
        path: Aryanne/Open-StarLake-Swap-7B
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