---
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
- failspy/Llama-3-8B-Instruct-MopeyMule
- nerdigent/L3.1-BlueSkyy-8B
library_name: transformers
tags:
- mergekit
- merge

---

Just an experiment using the same merge recipe as [grimjim/Llama-3-Perky-Pat-Instruct-8B](https://huggingface.co/grimjim/Llama-3-Perky-Pat-Instruct-8B)

# 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [failspy/Llama-3-8B-Instruct-MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule)
* [nerdigent/L3.1-BlueSkyy-8B](https://huggingface.co/nerdigent/L3.1-BlueSkyy-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: meta-llama/Meta-Llama-3-8B-Instruct
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: false
slices:
- sources:
  - layer_range: [0, 32]
    model: meta-llama/Meta-Llama-3-8B-Instruct
  - layer_range: [0, 32]
    model: nerdigent/L3.1-BlueSkyy-8B
    parameters:
      weight: 1.0
  - layer_range: [0, 32]
    model: failspy/Llama-3-8B-Instruct-MopeyMule
    parameters:
      weight: -1.0
```