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Model: RJuro/munin-neuralbeagle-7b
Source: Original Platform

README.md

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+---
+base_model:
+- mlabonne/NeuralBeagle14-7B
+- danish-foundation-models/munin-7b-alpha
+tags:
+- mergekit
+- merge
+license: cc-by-nc-4.0
+---
+# munin-neuralbeagle-7b
+
+![](https://huggingface.co/RJuro/munin-neuralbeagle-7b/resolve/main/munin-beagle.jpg?download=true)
+
+
+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](https://scandeval.com/mainland-scandinavian-nlg/) (after GPT3.5)
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [danish-foundation-models/munin-7b-alpha](https://huggingface.co/danish-foundation-models/munin-7b-alpha) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+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
+```