README.md

---
base_model:
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2
library_name: transformers
pipeline_tag: text-generation
tags:
- mergekit
- merge
license: llama3.1
---
# Llama-3.1-Bonsaikraft-8B-Instruct

This repo contains a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

This merge is a straightforward combination of German-English and Japanese-English Instruct models.

Built with Llama.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)
* [tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
    layer_range: [0, 32]
  - model: tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2
    layer_range: [0, 32]
parameters:
  t:
    - value: 0.5

```