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---
base_model:
- occiglot/occiglot-7b-de-en-instruct
- occiglot/occiglot-7b-it-en-instruct
- occiglot/occiglot-7b-fr-en-instruct
- occiglot/occiglot-7b-es-en-instruct
- mistralai/Mistral-7B-v0.1
library_name: transformers
tags:
- mergekit
- merge
---
# occitaskarithmetic
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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
### Models Merged
The following models were included in the merge:
* [occiglot/occiglot-7b-de-en-instruct](https://huggingface.co/occiglot/occiglot-7b-de-en-instruct)
* [occiglot/occiglot-7b-it-en-instruct](https://huggingface.co/occiglot/occiglot-7b-it-en-instruct)
* [occiglot/occiglot-7b-fr-en-instruct](https://huggingface.co/occiglot/occiglot-7b-fr-en-instruct)
* [occiglot/occiglot-7b-es-en-instruct](https://huggingface.co/occiglot/occiglot-7b-es-en-instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
# no parameters necessary for base model
- model: occiglot/occiglot-7b-de-en-instruct
parameters:
density: 0.6
weight: 0.25
- model: occiglot/occiglot-7b-it-en-instruct
parameters:
density: 0.6
weight: 0.25
- model: occiglot/occiglot-7b-fr-en-instruct
parameters:
density: 0.6
weight: 0.25
- model: occiglot/occiglot-7b-es-en-instruct
parameters:
density: 0.6
weight: 0.25
merge_method: task_arithmetic
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0
tokenizer_source: model:occiglot/occiglot-7b-de-en-instruct
```
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