README.md

---
base_model:
- Sakalti/SJT-0.5B
library_name: transformers
tags:
- mergekit
- merge
inference: true
pipeline_tag: text-generation
widget:
  - messages:
      - role: user
        content: こんにちは！
  - messages:
      - role: user
        content: 魚を捌くのは難しいですか？
  - messages:
      - role: user
        content: ナイジェリアの首都はどこですか？
  - messages:
      - role: user
        content: hello!
  - messages:
      - role: user
        content: 貝は砂浜に落ちてるものですか？
  - messages:
      - role: user
        content: おはようございます。
  - messages:
      - role: user
        content: 錫はどういうものに使われますか？
  - messages:
      - role: user
        content: 露骨とあからさまが違う言葉であることを証明してください。
  - messages:
      - role: user
        content: 你好
  - messages:
      - role: user
        content: 魚を捌くのは難しいですか？
  - messages:
      - role: user
        content: Où se trouve Shinjuku ?
  - messages:
      - role: user
        content: Bonjour!
license: apache-2.0
---
# 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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* [Sakalti/SJT-0.5B](https://huggingface.co/Sakalti/SJT-0.5B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: Sakalti/SJT-0.5B
      layer_range: [0, 12]
  - sources:
    - model: Sakalti/SJT-0.5B
      layer_range: [12, 24]
  - sources:
    - model: Sakalti/SJT-0.5B
      layer_range: [0, 12]
  - sources:
    - model: Sakalti/SJT-0.5B
      layer_range: [12, 24]
merge_method: passthrough
dtype: bfloat16
```