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@@ -9,12 +9,12 @@ This model incorporates additional 30k TC tokens in vocabulary dictionary to bet
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  Breeze-7B-Instruct-v0.1 performs well on both EN and TC benchmarks.
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  This model outperforms Taiwan-LLM-7B-v2.1-chat, Taiwan-LLM-13B-v2.0-chat, and Yi-6B-Chat on major TC benchmarks we tested, and is comparable with Mistral-7B-Instruct-v0.1 on MMLU and MT-Bench in English.
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- *A project by the members (in alphabetical order): Chan-Jan Hsu 許湛然, Chang-Le Liu 劉昶樂, Po-Chun Hsu 許博竣, Feng-Ting Liao 廖峰挺, Yi-Chang Chen 陳宜昌, and the supervisor Da-Shan Shiu 許大山.*
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  ## Features
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  - Expanding the vocabulary dictionary for Traditional Chinese from 32k to 62k vocabulary size
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- - Multi-turn dialogue without special handling for harmfulness
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  - 8k context length
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  ## Model Details
 
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  Breeze-7B-Instruct-v0.1 performs well on both EN and TC benchmarks.
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  This model outperforms Taiwan-LLM-7B-v2.1-chat, Taiwan-LLM-13B-v2.0-chat, and Yi-6B-Chat on major TC benchmarks we tested, and is comparable with Mistral-7B-Instruct-v0.1 on MMLU and MT-Bench in English.
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+ *A project by the members (in alphabetical order): Chan-Jan Hsu 許湛然, Chang-Le Liu 劉昶樂, Feng-Ting Liao 廖峰挺, Po-Chun Hsu 許博竣, Yi-Chang Chen 陳宜昌, and the supervisor Da-Shan Shiu 許大山.*
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  ## Features
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  - Expanding the vocabulary dictionary for Traditional Chinese from 32k to 62k vocabulary size
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+ - Multi-turn dialogue (without special handling for harmfulness)
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  - 8k context length
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  ## Model Details