---
base_model:
- aws-prototyping/MegaBeam-Mistral-7B-512k
- djuna-test-lab/TEST-Ocerus-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:
* [aws-prototyping/MegaBeam-Mistral-7B-512k](https://huggingface.co/aws-prototyping/MegaBeam-Mistral-7B-512k)
* [djuna-test-lab/TEST-Ocerus-7B](https://huggingface.co/djuna-test-lab/TEST-Ocerus-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: djuna-test-lab/TEST-Ocerus-7B
        layer_range: [0, 16]
      - model: aws-prototyping/MegaBeam-Mistral-7B-512k
        layer_range: [0, 16]
    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: [0.6,0.35,0.5]
  - sources:
      - model: djuna-test-lab/TEST-Ocerus-7B
        layer_range: [16, 32]
      - model: aws-prototyping/MegaBeam-Mistral-7B-512k
        layer_range: [16, 32]
    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
merge_method: slerp
base_model: aws-prototyping/MegaBeam-Mistral-7B-512k
dtype: float32
out_dtype: bfloat16
```