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---
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:
- layer_range: [0, 24]
model: Sakalti/SJT-0.5B
- sources:
- layer_range: [12, 24]
model: Sakalti/SJT-0.5B
- sources:
- layer_range: [12, 24]
model: Sakalti/SJT-0.5B
dtype: float16
merge_method: passthrough
```
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