Update README.md

README.md

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 # Model Card for Breeze-7B-Instruct-v0.1
 
 
-[Breeze-7B-Base-v0.1](https://huggingface.co/MediaTek-Research/Breeze-7B-Base-v0.1) is a language model that builds upon the foundation of Mistral-7B, specifically enhanced for Traditional Chinese. This model introduces an expanded vocabulary with additional 30,000 Traditional Chinese tokens, significantly improving its performance in understanding and generating Traditional Chinese text. As a result, the model is twice as efficient in the encoding and decoding of Traditional Chinese compared to Mistral-7B.
+Breeze-7B is a language model that builds upon the foundation of Mistral-7B, specifically 
+enhanced for Traditional Chinese. This model introduces an expanded vocabulary with additional 30,000 Traditional Chinese tokens, 
+significantly improving its performance in understanding and generating Traditional Chinese text. As a result, 
+the model is twice as efficient in the encoding and decoding of Traditional Chinese compared to Mistral-7B.
 
 
-[Breeze-7B-Instruct-v0.1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0.1) derives from the base model Breeze-7B-Base-v0.1, which has been continually pre-trained on a substantial dataset of 250GB of Traditional Chinese content. Additionally, it has undergone supervised fine-tuning with over 1 million instances to sharpen its capabilities. Breeze-7B-Instruct-v0.1 demonstrates impressive performance in benchmarks for both English and Traditional Chinese, surpassing the results of Taiwan-LLM-7B-v2.1-chat, Taiwan-LLM-13B-v2.0-chat and Qwen-7B-chat in Traditional Chinese assessments. It also excels in some benchmarks against Yi-6B-Chat. In English evaluations, Breeze-7B-Instruct-v0.1 shows comparable results to Mistral-7B-Instruct-v0.1 on the MMLU and MT-Bench benchmarks. This achievement marks a significant milestone as it is the first instance of vocabulary expansion in a model tailored for Traditional Chinese.
+
+[Breeze-7B-Instruct-v0.1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0.1) derives from the base model [Breeze-7B-Base-v0.1](https://huggingface.co/MediaTek-Research/Breeze-7B-Base-v0.1), which has been continually 
+pre-trained on a substantial dataset of 250GB of Traditional Chinese content. Additionally, it has undergone supervised fine-tuning with over 1 million instances to 
+sharpen its capabilities. Breeze-7B-Instruct-v0.1 demonstrates impressive performance in benchmarks for both English and Traditional Chinese, surpassing the results of 
+Taiwan-LLM-7B-v2.1-chat, Taiwan-LLM-13B-v2.0-chat and Qwen-7B-chat in Traditional Chinese assessments. It also excels in some benchmarks against Yi-6B-Chat. 
+In English evaluations, Breeze-7B-Instruct-v0.1 shows comparable results to Mistral-7B-Instruct-v0.1 on the MMLU and MT-Bench benchmarks. 
+
 
 
 [Breeze-7B-Instruct-64k-v0.1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-64k-v0.1) is an extension to the Breeze-7B-v-0.1 model to enable 64k context length, which is equivalent to 88k Traditional Chinese characters.