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Model details:

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This is definately not perfect, but it does feel pretty close.

Feedback is welcome, as always.


merge

This is a merge of pre-trained language models created using mergekit.

Merge Method

This model was merged using the TIES merge method using nbeerbower/Mistral-Nemo-Prism-12B as a base.

Models Merged

The following models were included in the merge:

Configuration

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
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