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--- |
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base_model: |
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- mistralai/Mistral-7B-v0.1 |
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- danish-foundation-models/munin-7b-alpha |
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tags: |
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- mergekit |
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- merge |
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license: cc-by-nc-4.0 |
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language: |
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- da |
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--- |
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# munin-mistral-7b |
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The model is based on danish-foundation-models/munin-7b-alpha with mistralai/Mistral-7B-v0.1 merged into using the configuration outlined below. |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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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. |
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### Models Merged |
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The following models were included in the merge: |
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* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: danish-foundation-models/munin-7b-alpha |
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# No parameters necessary for base model |
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- model: mlabonne/NeuralBeagle14-7B |
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parameters: |
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density: 0.53 |
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weight: 0.6 |
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merge_method: dare_ties |
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base_model: danish-foundation-models/munin-7b-alpha |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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``` |