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license: apache-2.0
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datasets:
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- elyza/ELYZA-tasks-100
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- weblab-GENIAC/aya-ja-evol-instruct-calm3-dpo-masked
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- llm-jp/hh-rlhf-12k-ja
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This llama 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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---
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license: apache-2.0
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datasets:
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- ichikara-instruction
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- elyza/ELYZA-tasks-100
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- weblab-GENIAC/aya-ja-evol-instruct-calm3-dpo-masked
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- llm-jp/hh-rlhf-12k-ja
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This llama 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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■このモデルは東京大学リスキリング講座「大規模言語モデル2024」の最終課題（コンペ）のためのものです。
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「ELYZA-tasks-100-TV」というデータセットが配布され、精度を競います。
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