mistral-7b-merged
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 mistralai/Mistral-7B-v0.1 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: ties
parameters:
int8_mask: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 32]
model: mistralai/Mistral-7B-v0.1
- layer_range: [0, 32]
model: WizardLM/WizardMath-7B-V1.1
parameters:
density: 0.5
weight:
- filter: mlp
value: 0.5
- value: 0.0
- layer_range: [0, 32]
model: codellama/CodeLlama-7b-Instruct-hf
parameters:
density: 0.5
weight: 0.5
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