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@@ -53,7 +53,7 @@ This repository provides large language models developed by [TokyoTech-LLM](http
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  ### MT-Bench JA
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  * NOTE that the models with the `v0.1` suffix are newer versions compared to their original counterparts with the `hf`.
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- * We will update the score of `Swallow-70b-instruct-hf` soon.
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  |Model|Average|Writing|Roleplay|Reasoning|Math|Coding|Extraction|STEM|Humanities|
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  |---|---|---|---|---|---|---|---|---|---|
@@ -68,7 +68,7 @@ This repository provides large language models developed by [TokyoTech-LLM](http
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  ### MT-Bench JA
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- We used [Japanese MT-Bench](https://wandb.ai/wandb-japan/llm-leaderboard/artifacts/dataset/mtbench_ja_question).
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  We utilized the following artifacts:
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  - Implemantation: FastChat [Zheng+, 2023] (commit #e86e70d0)
@@ -166,4 +166,3 @@ Here are the team members:
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  - [Taishi Nakamura](https://twitter.com/Setuna7777_2)
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  - [Takumi Okamoto](https://www.linkedin.com/in/takumi-okamoto)
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  - [Ishida Shigeki](https://www.wantedly.com/id/reborn27)
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-
 
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  ### MT-Bench JA
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  * NOTE that the models with the `v0.1` suffix are newer versions compared to their original counterparts with the `hf`.
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+ * We will add the scores of `Swallow-70b-instruct-hf` and existing models soon.
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  |Model|Average|Writing|Roleplay|Reasoning|Math|Coding|Extraction|STEM|Humanities|
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  |---|---|---|---|---|---|---|---|---|---|
 
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  ### MT-Bench JA
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+ We used [Japanese MT-Bench](https://wandb.ai/wandb-japan/llm-leaderboard/artifacts/dataset/mtbench_ja_question) to assess the instruction-following capabilities of models.
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  We utilized the following artifacts:
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  - Implemantation: FastChat [Zheng+, 2023] (commit #e86e70d0)
 
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  - [Taishi Nakamura](https://twitter.com/Setuna7777_2)
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  - [Takumi Okamoto](https://www.linkedin.com/in/takumi-okamoto)
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  - [Ishida Shigeki](https://www.wantedly.com/id/reborn27)