Moko-Sample-7b-ex
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the sample_ties merge method using mistralai/Mistral-7B-v0.1 as a base.
Models Merged
The following models were included in the merge:
- WizardLM/WizardMath-7B-V1.1
- akjindal53244/Mistral-7B-v0.1-Open-Platypus
- Open-Orca/Mistral-7B-OpenOrca
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Open-Orca/Mistral-7B-OpenOrca
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: akjindal53244/Mistral-7B-v0.1-Open-Platypus
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
- model: WizardLM/WizardMath-7B-V1.1
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: sample_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: float16
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