change log doc updated

Signed-off-by: ftgreat <[email protected]>
capjamesg · Jun 29, 2023 · 9348ce6 · 9348ce6
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diff --git a/examples/Aquila/Aquila-chat/README.md b/examples/Aquila/Aquila-chat/README.md
@@ -26,7 +26,7 @@
 | AquilaCode-7B-NV          | 基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在英伟达芯片完成训练  |   AquilaCode-7B 以小数据集、小参数量，实现高性能，是目前支持中英双语的、性能最好的开源代码模型，经过了高质量过滤、使用有合规开源许可的训练代码数据进行训练。<br><br> AquilaCode-7B 分别在英伟达和国产芯片上完成了代码模型的训练。  | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  |[下载AquilaCode-7B-NV](https://model.baai.ac.cn/model-detail/100102)  | 已发布  | Nvidia-A100 | 
 | AquilaCode-7B-TS           |基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在天数智芯芯片上完成训练  |    同上    | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  | [下载AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | 已发布  | Tianshu-BI-V100  | 
 
-**[变更日志](../changelog_zh.md)**
+悟道·天鹰Aquila系列模型将持续开源更优版本，大家可以先删除原来目录下的 `model_pytorch.bin`，再下载新权重，其他使用方式不变。详情见：**[变更日志](../changelog_zh.md)** 。
 
 <br>如有使用问题请先查看 [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371)，若不能解决，请直接提交 [issue](https://github.com/FlagAI-Open/FlagAI/issues) ~
 

diff --git a/examples/Aquila/Aquila-chat/README_en.md b/examples/Aquila/Aquila-chat/README_en.md
@@ -28,7 +28,8 @@ The additional details of the Aquila model will be presented in the official tec
 | AquilaCode-7B-TS   | Base model, "text-code" generation model, further pre-trained based on Aquila-7B, trained on Horizon Robotics chips | Same as above                                                                                                                                                                                                                                                                                                                                                                                                             | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code) | [Download AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | Released        | Tianshu-BI-V100 |
 
 
-**[Change Log](../changelog.md)**
+We will continue to release improved versions of Aquila model as open source. You can start by deleting the `model_pytorch.bi`n file in the original directory and then download the new weights. Other usage methods remain unchanged. For more details, please refer to the **[Change Log](../changelog.md)**.
+
 
  <br>If you have any question, please refer to the [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371) first. If you cannot solve them, please submit an [issue](https://github.com/FlagAI-Open/FlagAI/issues) directly.
 

diff --git a/examples/Aquila/Aquila-code/README.md b/examples/Aquila/Aquila-code/README.md
@@ -26,7 +26,7 @@
 | AquilaCode-7B-NV          | 基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在英伟达芯片完成训练  |   AquilaCode-7B 以小数据集、小参数量，实现高性能，是目前支持中英双语的、性能最好的开源代码模型，经过了高质量过滤、使用有合规开源许可的训练代码数据进行训练。<br><br> AquilaCode-7B 分别在英伟达和国产芯片上完成了代码模型的训练。  | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  |[下载AquilaCode-7B-NV](https://model.baai.ac.cn/model-detail/100102)  | 已发布  | Nvidia-A100 | 
 | AquilaCode-7B-TS           |基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在天数智芯芯片上完成训练  |    同上    | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  | [下载AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | 已发布  | Tianshu-BI-V100  | 
 
-**[变更日志](../changelog_zh.md)**
+悟道·天鹰Aquila系列模型将持续开源更优版本，大家可以先删除原来目录下的 `model_pytorch.bin`，再下载新权重，其他使用方式不变。详情见：**[变更日志](../changelog_zh.md)** 。
 
 <br>如有使用问题请先查看 [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371)，若不能解决，请直接提交 [issue](https://github.com/FlagAI-Open/FlagAI/issues) ~
 

diff --git a/examples/Aquila/Aquila-code/README_en.md b/examples/Aquila/Aquila-code/README_en.md
@@ -28,7 +28,7 @@ The additional details of the Aquila model will be presented in the official tec
 | AquilaCode-7B-TS   | Base model, "text-code" generation model, further pre-trained based on Aquila-7B, trained on Horizon Robotics chips | Same as above                                                                                                                                                                                                                                                                                                                                                                                                             | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code) | [Download AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | Released        | Tianshu-BI-V100 |
 
 
-**[Change Log](../changelog.md)**
+We will continue to release improved versions of Aquila model as open source. You can start by deleting the `model_pytorch.bi`n file in the original directory and then download the new weights. Other usage methods remain unchanged. For more details, please refer to the **[Change Log](../changelog.md)**.
 
  <br>If you have any question, please refer to the [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371) first. If you cannot solve them, please submit an [issue](https://github.com/FlagAI-Open/FlagAI/issues) directly.
 

diff --git a/examples/Aquila/Aquila-pretrain/README.md b/examples/Aquila/Aquila-pretrain/README.md
@@ -25,7 +25,7 @@
 | AquilaCode-7B-NV          | 基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在英伟达芯片完成训练  |   AquilaCode-7B 以小数据集、小参数量，实现高性能，是目前支持中英双语的、性能最好的开源代码模型，经过了高质量过滤、使用有合规开源许可的训练代码数据进行训练。<br><br> AquilaCode-7B 分别在英伟达和国产芯片上完成了代码模型的训练。  | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  |[下载AquilaCode-7B-NV](https://model.baai.ac.cn/model-detail/100102)  | 已发布  | Nvidia-A100 | 
 | AquilaCode-7B-TS           |基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在天数智芯芯片上完成训练  |    同上    | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  | [下载AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | 已发布  | Tianshu-BI-V100  | 
 
-**[变更日志](../changelog_zh.md)**
+悟道·天鹰Aquila系列模型将持续开源更优版本，大家可以先删除原来目录下的 `model_pytorch.bin`，再下载新权重，其他使用方式不变。详情见：**[变更日志](../changelog_zh.md)** 。
 
 <br>如有使用问题请先查看 [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371)，若不能解决，请直接提交 [issue](https://github.com/FlagAI-Open/FlagAI/issues) ~
 

diff --git a/examples/Aquila/Aquila-pretrain/README_en.md b/examples/Aquila/Aquila-pretrain/README_en.md
@@ -28,7 +28,7 @@ The additional details of the Aquila model will be presented in the official tec
 | AquilaCode-7B-TS   | Base model, "text-code" generation model, further pre-trained based on Aquila-7B, trained on Horizon Robotics chips | Same as above                                                                                                                                                                                                                                                                                                                                                                                                             | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code) | [Download AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | Released        | Tianshu-BI-V100 |
 
 
-**[Change Log](../changelog.md)**
+We will continue to release improved versions of Aquila model as open source. You can start by deleting the `model_pytorch.bi`n file in the original directory and then download the new weights. Other usage methods remain unchanged. For more details, please refer to the **[Change Log](../changelog.md)**.
 
  <br>If you have any question, please refer to the [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371) first. If you cannot solve them, please submit an [issue](https://github.com/FlagAI-Open/FlagAI/issues) directly.
 

diff --git a/examples/Aquila/README.md b/examples/Aquila/README.md
@@ -26,8 +26,10 @@
 | AquilaCode-7B-NV          | 基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在英伟达芯片完成训练  |   AquilaCode-7B 以小数据集、小参数量，实现高性能，是目前支持中英双语的、性能最好的开源代码模型，经过了高质量过滤、使用有合规开源许可的训练代码数据进行训练。<br><br> AquilaCode-7B 分别在英伟达和国产芯片上完成了代码模型的训练。  | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  |[下载AquilaCode-7B-NV](https://model.baai.ac.cn/model-detail/100102)  | 已发布  | Nvidia-A100 | 
 | AquilaCode-7B-TS           |基础模型，“文本-代码”生成模型，基于 Aquila-7B继续预训练，在天数智芯芯片上完成训练  |    同上    | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code)  | [下载AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | 已发布  | Tianshu-BI-V100  | 
 
+悟道·天鹰Aquila系列模型将持续开源更优版本，大家可以先删除原来目录下的 `model_pytorch.bin`，再下载新权重，其他使用方式不变。详情见：**[变更日志](./changelog_zh.md)** 。
+
+
 
-**[变更日志](./changelog_zh.md)**
 
 <br>如有使用问题请先查看 [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371)，若不能解决，请直接提交 [issue](https://github.com/FlagAI-Open/FlagAI/issues) ~
 

diff --git a/examples/Aquila/README_en.md b/examples/Aquila/README_en.md
@@ -29,7 +29,7 @@ The additional details of the Aquila model will be presented in the official tec
 | AquilaCode-7B-TS   | Base model, "text-code" generation model, further pre-trained based on Aquila-7B, trained on Horizon Robotics chips | Same as above                                                                                                                                                                                                                                                                                                                                                                                                             | [./examples/Aquila/Aquila-code](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-code) | [Download AquilaCode-7B-TS](https://model.baai.ac.cn/model-detail/100099)  | Released        | Tianshu-BI-V100 |
 
 
-**[Change Log](./changelog.md)**
+We will continue to release improved versions of Aquila model as open source. You can start by deleting the `model_pytorch.bi`n file in the original directory and then download the new weights. Other usage methods remain unchanged. For more details, please refer to the **[Change Log](../changelog.md)**.
 
  <br>If you have any question, please refer to the [FAQ](https://github.com/FlagAI-Open/FlagAI/issues/371) first. If you cannot solve them, please submit an [issue](https://github.com/FlagAI-Open/FlagAI/issues) directly.