File size: 1,523 Bytes
620c5cc 1d32b1a 620c5cc cc97a97 620c5cc 58e518e 620c5cc 1d32b1a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
base_model:
- mlabonne/NeuralBeagle14-7B
- danish-foundation-models/munin-7b-alpha
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---
# 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](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
``` |