README.md

metadata

base_model:
  - mistralai/Mistral-7B-v0.1
  - argilla/distilabeled-OpenHermes-2.5-Mistral-7B
  - NeverSleep/Noromaid-7B-0.4-DPO
  - senseable/WestLake-7B-v2
  - mlabonne/AlphaMonarch-7B
library_name: transformers
tags:
  - mergekit
  - merge

take190

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

• argilla/distilabeled-OpenHermes-2.5-Mistral-7B
• NeverSleep/Noromaid-7B-0.4-DPO
• senseable/WestLake-7B-v2
• mlabonne/AlphaMonarch-7B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: senseable/WestLake-7B-v2
    parameters:
      density: 0.58
      weight: [0.4, 0.1]
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      density: 0.58
      weight: [0.1, 0.4]
  - model: argilla/distilabeled-OpenHermes-2.5-Mistral-7B
    parameters:
      density: 0.58
      weight: [.4, 0.1]
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      density: 0.58
      weight: [0.1, 0.4]
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16