# merged

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:
* [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2)
* [one-man-army/UNA-34Beagles-32K-bf16-v1](https://huggingface.co/one-man-army/UNA-34Beagles-32K-bf16-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: jondurbin/bagel-dpo-34b-v0.2
dtype: float16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 60]
    model: jondurbin/bagel-dpo-34b-v0.2
  - layer_range: [0, 60]
    model: one-man-army/UNA-34Beagles-32K-bf16-v1
```
{"license": "mit", "tags": ["mergekit", "merge"], "base_model": ["jondurbin/bagel-dpo-34b-v0.2", "one-man-army/UNA-34Beagles-32K-bf16-v1"]}
transformers safetensors llama text-generation mergekit merge conversational base_model:jondurbin/bagel-dpo-34b-v0.2 base_model:one-man-army/UNA-34Beagles-32K-bf16-v1 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us