README.md

---
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

```