---
base_model:
- samir-fama/SamirGPT-v1
- EmbeddedLLM/Mistral-7B-Merge-14-v0.2
- abacusai/Slerp-CM-mist-dpo
- mistralai/Mistral-7B-v0.1
library_name: transformers
tags:
- mergekit
- merge

---
# merged

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 TIES](https://arxiv.org/abs/2311.03099) 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:
* [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2)
* [abacusai/Slerp-CM-mist-dpo](https://huggingface.co/abacusai/Slerp-CM-mist-dpo)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16
merge_method: dare_ties
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 32]
        model: mistralai/Mistral-7B-v0.1
      - layer_range: [0, 32]
        model: samir-fama/SamirGPT-v1
        parameters:
          density: 0.53
          weight: 0.4
      - layer_range: [0, 32]
        model: abacusai/Slerp-CM-mist-dpo
        parameters:
          density: 0.53
          weight: 0.3
      - layer_range: [0, 32]
        model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
        parameters:
          density: 0.53
          weight: 0.3
parameters:
  int8_mask: 1.0
```