bophades-mistral-7B
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 yam-peleg/Experiment26-7B as a base.
Models Merged
The following models were included in the merge:
- paulml/NeuralOmniWestBeaglake-7B
- paulml/OmniBeagleSquaredMBX-v3-7B
- yam-peleg/Experiment21-7B
- Kukedlc/NeuralMaths-Experiment-7b
- Gille/StrangeMerges_16-7B-slerp
- vanillaOVO/correction_1
Configuration
The following YAML configuration was used to produce this model:
models:
- model: paulml/OmniBeagleSquaredMBX-v3-7B
parameters:
density: 0.5
weight: 0.5
- model: paulml/NeuralOmniWestBeaglake-7B
parameters:
density: 0.5
weight: 0.5
- model: Gille/StrangeMerges_16-7B-slerp
parameters:
density: 0.5
weight: 0.5
- model: yam-peleg/Experiment21-7B
parameters:
density: 0.5
weight: 0.5
- model: vanillaOVO/correction_1
parameters:
density: 0.5
weight: 0.5
- model: Kukedlc/NeuralMaths-Experiment-7b
parameters:
density: 0.5
weight: 0.5
merge_method: dare_ties
base_model: yam-peleg/Experiment26-7B
parameters:
normalize: true
dtype: bfloat16
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