Franken-MistressMaid-10.5B-v2

Franken-Mistress-10.5B-v2

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

Merge Details

So far of the Franken merges, this one does very well using the Min-P and Noromaid settings in SillyTavern 2. This one seems even better then the 10.5B version of this model. I uploaded 3 files for SillyTavern that can be imported. I take no credit for these files, not sure who original authors are.

• MinP-text-completion-preset.json
• rp-merge-text-completion-preset.json
• noromaid-context-template.json

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• Franken-Maid-v2

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: Franken-Maid-v2
      layer_range: [0, 16]
  - sources:
    - model: Franken-Maid-v2
      layer_range: [8, 24]
  - sources:
    - model: Franken-Maid-v2
      layer_range: [17, 32]
merge_method: passthrough
dtype: float16

models:
  - model: ibm/merlinite-7b 
    parameters:
      weight: 1
      density: 1
  - model: Undi95/Toppy-M-7B
    parameters:
      weight: 0.3
  - model: jondurbin/bagel-dpo-7b-v0.4
    parameters:
      weight: 0.2
  - model: senseable/WestLake-7B-v2 
    parameters:
      weight: 0.2
  - model: l3utterfly/mistral-7b-v0.1-layla-v4
    parameters:
      weight: 0.2
merge_method: ties
base_model: Franken-Maid
parameters:
  density: 0.4
  int8_mask: true
  normalize: true
dtype: bfloat16

models:
  - model: SanjiWatsuki/Sonya-7B 
    parameters:
      weight: 1
      density: 1
  - model: SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE
    parameters:
      weight: 0.3
  - model: Azazelle/Half-NSFW_Noromaid-7b
    parameters:
      weight: 0.2
  - model: senseable/WestLake-7B-v2 
    parameters:
      weight: 0.2
  - model: l3utterfly/mistral-7b-v0.1-layla-v4
    parameters:
      weight: 0.2
merge_method: ties
base_model: Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B
parameters:
  density: 0.4
  int8_mask: true
  normalize: true
dtype: bfloat16