---
license: llama2
language:
- en
---
base_model:
- elyza/ELYZA-japanese-Llama-2-13b-instruct
- lmsys/vicuna-13b-v1.5-16k
tags:
- mergekit
- merge

---
# outputs

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:
* [elyza/ELYZA-japanese-Llama-2-13b-instruct](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b-instruct)
* [lmsys/vicuna-13b-v1.5-16k](https://huggingface.co/lmsys/vicuna-13b-v1.5-16k)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: elyza/ELYZA-japanese-Llama-2-13b-instruct
        layer_range: [0, 40]
      - model: lmsys/vicuna-13b-v1.5-16k
        layer_range: [0, 40]
merge_method: slerp
base_model: lmsys/vicuna-13b-v1.5-16k
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 # fallback for rest of tensors
dtype: float16


```