---
license: apache-2.0
base_model:
- mistralai/Mistral-7B-v0.1
- OpenBuddy/openbuddy-mistral-7b-v13.1
- MRAIRR/hubsalmon_tra
- EmbeddedLLM/Mistral-7B-Merge-14-v0.3
tags:
- mergekit
- merge

---
# merge

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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.

### mini_7B_dare_v1

The following models were included in the merge:
* [OpenBuddy/openbuddy-mistral-7b-v13.1](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13.1)
* [MRAIRR/hubsalmon_tra](https://huggingface.co/MRAIRR/hubsalmon_tra)
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.3](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.3)


### 🧩 Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mistral-7B-v0.1
  - model: OpenBuddy/openbuddy-mistral-7b-v13.1
    parameters:
      density: 0.53
      weight: 0.4
  - model: MRAIRR/hubsalmon_tra
    parameters:
      density: 0.53
      weight: 0.4
  - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.3
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true 
dtype: bfloat16 

```