README.md

metadata

base_model:
  - David-Xu/Mistral-7B-Instruct-v0.2
  - ajibawa-2023/Code-Mistral-7B
  - OpenBuddy/openbuddy-mistral-7b-v13.1
  - NousResearch/Yarn-Mistral-7b-128k
  - meta-math/MetaMath-Mistral-7B
library_name: transformers
tags:
  - mergekit
  - merge

merge

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

Merge Details

Merge Method

This model was merged using the TIES merge method using David-Xu/Mistral-7B-Instruct-v0.2 as a base.

Models Merged

The following models were included in the merge:

• ajibawa-2023/Code-Mistral-7B
• OpenBuddy/openbuddy-mistral-7b-v13.1
• NousResearch/Yarn-Mistral-7b-128k
• meta-math/MetaMath-Mistral-7B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: David-Xu/Mistral-7B-Instruct-v0.2
    #no parameters necessary for base model
  - model: OpenBuddy/openbuddy-mistral-7b-v13.1
    parameters:
      density: 0.5
      weight: 0.5
  - model: NousResearch/Yarn-Mistral-7b-128k
    parameters:
      density: 0.5
      weight: 0.5
  - model: ajibawa-2023/Code-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.5
  - model: meta-math/MetaMath-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.5


merge_method: ties
base_model: David-Xu/Mistral-7B-Instruct-v0.2
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16