# BioMistral-7B-Starling-slerp

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:
* [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
* [Project44/BioMistral-7B-0.1-PubMed-V2](https://huggingface.co/Project44/BioMistral-7B-0.1-PubMed-V2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: berkeley-nest/Starling-LM-7B-alpha
        layer_range: [0, 32]
      - model: Project44/BioMistral-7B-0.1-PubMed-V2
        layer_range: [0, 32]
merge_method: slerp
base_model: berkeley-nest/Starling-LM-7B-alpha
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

```

{"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["berkeley-nest/Starling-LM-7B-alpha", "Project44/BioMistral-7B-0.1-PubMed-V2"]}
transformers safetensors mistral text-generation mergekit merge conversational base_model:berkeley-nest/Starling-LM-7B-alpha base_model:Project44/BioMistral-7B-0.1-PubMed-V2 autotrain_compatible endpoints_compatible text-generation-inference region:us