Update README.md

README.md

@@ -9,16 +9,19 @@ This model incorporates an additional 30k TC vocabularies to better adapt to TC
 Breeze-7B-Instruct-v0.1 performs well on both EN and TC benchmarks.
 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 on the Open LLM Leaderboard.
 
+*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.*
+
 ## Features
 
 - Expanding the vocabulary dictionary for Traditional Chinese from 32k to 62k vocabulary size (the first successful work in Traditional Chinese)
-- Multi-turn dialogue without special handling for harmful content
+- Multi-turn dialogue without special handling for harmfulness
 - 8k context length
-- Grouped-query attention
-- Sliding-window attention
+- Grouped-query and sliding-window attention
 
 ## Model Details
 - **Finetuned from:** [MediaTek-Research/Breeze-7B-Base-v0.1](https://huggingface.co/MediaTek-Research/Breeze-7B-Base-v0.1)
 - **Model type:** Causal decoder-only transformer language model
 - **Language:** English and Traditional Chinese (zh-tw)
 
+## Performance
+