README.md

---
base_model:
- cognitivecomputations/dolphin-2.8-mistral-7b-v02
- mlabonne/AlphaMonarch-7B
library_name: transformers
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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: mlabonne/AlphaMonarch-7B #mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
      # - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
      #   layer_range: [0, 32]
      # - model: mlabonne/AlphaMonarch-7B
      #   layer_range: [0, 32]
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0, 32]
        #mlabonne/AlphaMonarch-7B

merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02 #mistralai/Mistral-7B-Instruct-v0.2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

```