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
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