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---
base_model:
- Open-Orca/Mistral-7B-SlimOrca
- cognitivecomputations/samantha-1.1-westlake-7b-laser
- cognitivecomputations/dolphin-2.2.1-mistral-7b
- Nexusflow/Starling-LM-7B-beta
- cognitivecomputations/openchat-3.5-0106-laser
library_name: transformers
tags:
- mergekit
- merge
---
# mistral-dareties-v92
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 [Open-Orca/Mistral-7B-SlimOrca](https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca) as a base.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/samantha-1.1-westlake-7b-laser](https://huggingface.co/cognitivecomputations/samantha-1.1-westlake-7b-laser)
* [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b)
* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
* [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: Open-Orca/Mistral-7B-SlimOrca
dtype: bfloat16
merge_method: dare_ties
models:
- model: cognitivecomputations/openchat-3.5-0106-laser
parameters:
density: 0.74
weight: [0, 0.2, 0.4]
- model: Nexusflow/Starling-LM-7B-beta
parameters:
density: 0.74
weight: [0.3, 0.4]
- model: cognitivecomputations/samantha-1.1-westlake-7b-laser
parameters:
density: 0.74
weight: [0.3, 0.4]
- model: cognitivecomputations/dolphin-2.2.1-mistral-7b
parameters:
density: 0.74
weight: [0.3, 0.4]
parameters:
int8_mask: true
normalize: true
```
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