README.md

---
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

```