munin-neuralbeagle-7b

The model is based on danish-foundation-models/munin-7b-alpha with mlabonne/NeuralBeagle14-7B merged into using the configuration outlined below. As per 28 January 2024, it's ranked 2nd on the Mainland Scandinavian NLG leaderboard (after GPT3.5) 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 danish-foundation-models/munin-7b-alpha as a base.

Models Merged

The following models were included in the merge:

• mlabonne/NeuralBeagle14-7B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: danish-foundation-models/munin-7b-alpha
    # No parameters necessary for base model
  - model: mlabonne/NeuralBeagle14-7B
    parameters:
      density: 0.53
      weight: 0.6
merge_method: dare_ties
base_model: danish-foundation-models/munin-7b-alpha
parameters:
  int8_mask: true
dtype: bfloat16