85 lines
2.0 KiB
Markdown
85 lines
2.0 KiB
Markdown
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---
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base_model:
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- Qwen/Qwen2.5-3B-Instruct
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- Qwen/Qwen2.5-3B
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: other
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license_name: qwen-research
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inference: true
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pipeline_tag: text-generation
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widget:
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- messages:
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- role: user
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content: こんにちは！
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- messages:
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- role: user
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content: 魚を捌くのは難しいですか？
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- messages:
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- role: user
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content: ナイジェリアの首都はどこですか？
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- messages:
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- role: user
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content: hello!
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- messages:
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- role: user
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content: 貝は砂浜に落ちてるものですか？
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- messages:
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- role: user
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content: おはようございます。
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- messages:
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- role: user
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content: 錫はどういうものに使われますか？
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- messages:
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- role: user
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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。
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- messages:
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- role: user
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content: 你好
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- messages:
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- role: user
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content: 魚を捌くのは難しいですか？
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- messages:
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- role: user
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content: Où se trouve Shinjuku ?
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- messages:
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- role: user
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content: Bonjour!
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---
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Built with Qwen
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: Qwen/Qwen2.5-3B-Instruct
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parameters:
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weight: 1
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density: 1
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merge_method: ties
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base_model: Qwen/Qwen2.5-3B
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parameters:
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weight: 1
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density: 1
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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