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# TinyDeepSeek-JP-1.5B
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本モデルは, DeepSeek-R1の小型蒸留モデルに日本語を追加学習した[cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese](https://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese)に対し、
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SakanaAI社が提案した新たな蒸留手法TAIDを適用して小型化したものです.
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### Output Examples
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<details><summary>Give me a short introduction to large language model.</summary>
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</details>
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<details><summary>大規模言語モデルについて教えて。</summary>
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</details>
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<details><summary>A regular hexagon can be divided into six equilateral triangles. If the perimeter of one of the triangles is 21 inches, what is the perimeter, in inches, of the regular hexagon?</summary>
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</details>
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# TinyDeepSeek-JP-1.5B
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**性能悪い！ボツ！**
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本モデルは, DeepSeek-R1の小型蒸留モデルに日本語を追加学習した[cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese](https://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese)に対し、
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SakanaAI社が提案した新たな蒸留手法TAIDを適用して小型化したものです.
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### Output Examples
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