README.md

---
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
- alfredplpl/Llama-3-8B-Instruct-Ja
library_name: transformers
tags:
- mergekit
- merge

---
# merged_model_output1

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](https://en.wikipedia.org/wiki/Slerp) merge method.

### Models Merged

The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
* [alfredplpl/Llama-3-8B-Instruct-Ja](https://huggingface.co/alfredplpl/Llama-3-8B-Instruct-Ja)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

base_model: meta-llama/Meta-Llama-3-8B-Instruct  # ベースモデルの指定
slices:
  - sources:
      - model: meta-llama/Meta-Llama-3-8B-Instruct
        layer_range: [0, 23]
      - model: alfredplpl/Llama-3-8B-Instruct-Ja
        layer_range: [0, 23]
    target_layer_range: [0, 23]
merge_method: slerp
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: float32

```