README.md

metadata

base_model:
  - crestf411/daybreak-kunoichi-2dpo-7b
  - ContextualAI/Contextual_KTO_Mistral_PairRM
library_name: transformers
tags:
  - mergekit
  - merge

Taking the highest rated Mistral 7B from Alpaca Eval:

https://tatsu-lab.github.io/alpaca_eval/

ContextualAI/Contextual_KTO_Mistral_PairRM

and SLERP merging with the highest rated Mistral 7B from froggerics creativity rankings:

https://huggingface.co/datasets/froggeric/creativity

crestf411/daybreak-kunoichi-2dpo-7b

In testing.......

merge

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:

• crestf411/daybreak-kunoichi-2dpo-7b
• ContextualAI/Contextual_KTO_Mistral_PairRM

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: crestf411/daybreak-kunoichi-2dpo-7b
        layer_range: [0, 32]
      - model: ContextualAI/Contextual_KTO_Mistral_PairRM
        layer_range: [0, 32]
merge_method: slerp
base_model: ContextualAI/Contextual_KTO_Mistral_PairRM
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: bfloat16