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README.md
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license: apache-2.0
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language:
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- en
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---
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# Uploaded model
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This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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license: apache-2.0
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language:
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- en
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- ja
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datasets:
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- kinokokoro/ichikara-instruction-003
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pipeline_tag: text-generation
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---
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# Uploaded model
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This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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# Score
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Leader_board_score: 3.69
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# モデル推論方法
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1. `inference_gemma-2-9b-it-fd_lora.ipynb`をColaboratoryで開く。
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2. `HF_TOKEN`の入力
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3. `elyza-tasks-100-TV_0.jsonl`のアップロード
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4. ファイルパスの設定 (elyza-tasks-100-TV_0.jsonlおよび出力のパス)
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5. 実行
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