update news on Chinese-LLaMA-Alpaca-3

README.md

@@ -1,6 +1,6 @@
 # [Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3)项目启动！
 
-[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions) | [**⚔️竞技场/Arena**](http://chinese-alpaca-arena.ymcui.com/)
+[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions) | [**⚔️竞技场/Arena**](http://llm-arena.ymcui.com/)
 
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@@ -40,9 +40,11 @@
 
 ## 新闻
 
+**[2024/04/30] Chinese-LLaMA-Alpaca-3 已正式发布，开源基于Llama-3的Llama-3-Chinese-8B和Llama-3-Chinese-8B-Instruct，推荐所有一期、二期项目用户升级至三代模型，请参阅：https://github.com/ymcui/Chinese-LLaMA-Alpaca-3**
+
 [2024/03/27] 本项目已入驻机器之心SOTA!模型平台，欢迎关注：https://sota.jiqizhixin.com/project/chinese-llama-alpaca
 
-**[2023/08/14] Chinese-LLaMA-Alpaca-2 v2.0版本已正式发布，开源Chinese-LLaMA-2-13B和Chinese-Alpaca-2-13B，推荐所有一期用户升级至二代模型，请参阅：https://github.com/ymcui/Chinese-LLaMA-Alpaca-2**
+[2023/08/14] Chinese-LLaMA-Alpaca-2 v2.0版本已正式发布，开源Chinese-LLaMA-2-13B和Chinese-Alpaca-2-13B，推荐所有一期用户升级至二代模型，请参阅：https://github.com/ymcui/Chinese-LLaMA-Alpaca-2
 
 [2023/07/31] Chinese-LLaMA-Alpaca-2 v1.0版本已正式发布，请参阅：https://github.com/ymcui/Chinese-LLaMA-Alpaca-2
 
@@ -207,7 +209,7 @@ chinese_llama_lora_7b/
 为了快速评测相关模型的实际文本生成表现，本项目在给定相同的prompt的情况下，在一些常见任务上对比测试了本项目的中文Alpaca-7B、中文Alpaca-13B、中文Alpaca-33B、中文Alpaca-Plus-7B、中文Alpaca-Plus-13B的效果。生成回复具有随机性，受解码超参、随机种子等因素影响。以下相关评测并非绝对严谨，测试结果仅供晾晒参考，欢迎自行体验。
 
 - 详细评测结果及生成样例请查看[examples目录](./examples)
-- 📊 Alpaca模型在线对战：[http://chinese-alpaca-arena.ymcui.com](http://chinese-alpaca-arena.ymcui.com/)
+- 📊 Alpaca模型在线对战：[http://llm-arena.ymcui.com](http://llm-arena.ymcui.com/)
 
 ### 客观效果评测
 

README_EN.md

@@ -1,6 +1,6 @@
 # [Chinese-LLaMA-Alpaca-3](https://github.com/ymcui/Chinese-LLaMA-Alpaca-3) is launched!
 
-[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions) | [**⚔️竞技场/Arena**](http://chinese-alpaca-arena.ymcui.com/)
+[**🇨🇳中文**](./README.md) | [**🌐English**](./README_EN.md) | [**📖文档/Docs**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) | [**❓提问/Issues**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues) | [**💬讨论/Discussions**](https://github.com/ymcui/Chinese-LLaMA-Alpaca/discussions) | [**⚔️竞技场/Arena**](http://llm-arena.ymcui.com/)
 
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@@ -40,9 +40,11 @@ To promote open research of large models in the Chinese NLP community, this proj
 
 ## News
 
+**[Apr 30, 2024] Chinese-LLaMA-Alpaca-3 project introduces Llama-3-Chinese-8B and Llama-3-Chinese-8B-Instruct, based on Meta's Llama-3. Check: https://github.com/ymcui/Chinese-LLaMA-Alpaca-3**
+
 [Mar 27, 2024] This project is now online at the SOTA! model platform of Synced, see: https://sota.jiqizhixin.com/project/chinese-llama-alpaca
 
-**[Aug 14, 2023] Chinese-LLaMA-Alpaca-2 v2.0 released. We open-source Chinese-LLaMA-2-13B and Chinese-Alpaca-2-13B. See https://github.com/ymcui/Chinese-LLaMA-Alpaca-2**
+[Aug 14, 2023] Chinese-LLaMA-Alpaca-2 v2.0 released. We open-source Chinese-LLaMA-2-13B and Chinese-Alpaca-2-13B. See https://github.com/ymcui/Chinese-LLaMA-Alpaca-2
 
 [July 19, 2023] [Release v5.0](https://github.com/ymcui/Chinese-LLaMA-Alpaca/releases/tag/v5.0): Release Alpaca-Pro models, significantly improve generation quality. Along with Plus-33B models.
 
@@ -216,7 +218,7 @@ Related documentation has been moved to the project's >>> [📚GitHub Wiki](http
 In order to quickly evaluate the actual performance of related models, this project compared the effects of Chinese Alpaca-7B, Alpaca-13B, Alpaca-Plus-7B, Alpaca-Plus-13B, and Alpaca-33B on some common tasks given the same prompt. Reply generation is random and is affected by factors such as decoding hyperparameters and random seeds. The following related evaluations are not absolutely rigorous, and the test results are for reference only. Welcome to experience it yourself. 
 
 - For detailed evaluation results, please see [examples](./examples)
-- 📊 Alpaca ChatBot Arena: [http://chinese-alpaca-arena.ymcui.com](http://chinese-alpaca-arena.ymcui.com/)
+- 📊 Alpaca ChatBot Arena: [http://llm-arena.ymcui.com](http://llm-arena.ymcui.com/)
 
 ### NLU Performance Test