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This is definately not perfect, but it does feel pretty close.
Feedback is welcome, as always.
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using nbeerbower/Mistral-Nemo-Prism-12B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/Mistral-Nemo-Prism-12B
#no parameters necessary for base model
- model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
parameters:
density: 0.5
weight: 0.5
- model: elinas/Chronos-Gold-12B-1.0
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: nbeerbower/Mistral-Nemo-Prism-12B
parameters:
normalize: false
int8_mask: true
dtype: float16