update readme

README.md

@@ -25,13 +25,13 @@ inference: false
 
 ## 介绍（Introduction）
 
-**通义千问-7B（Qwen-7B）**是阿里云研发的通义千问大模型系列的70亿参数规模的模型。Qwen-7B是基于Transformer的大语言模型, 在超大规模的预训练数据上进行训练得到。预训练数据类型多样，覆盖广泛，包括大量网络文本、专业书籍、代码等。同时，在Qwen-7B的基础上，我们使用对齐机制打造了基于大语言模型的AI助手Qwen-7B-Chat。相较于最初开源的Qwen-7B模型，我们现已将预训练模型和Chat模型更新到效果更优的Qwen-7B v1.1版本（除表格中特殊注明的结果外，以下正文中Qwen-7B-Chat均代指Qwen-7B-Chat v1.1）。本仓库为Qwen-7B-Chat v1.1的仓库。
+**通义千问-7B（Qwen-7B）**是阿里云研发的通义千问大模型系列的70亿参数规模的模型。Qwen-7B是基于Transformer的大语言模型, 在超大规模的预训练数据上进行训练得到。预训练数据类型多样，覆盖广泛，包括大量网络文本、专业书籍、代码等。同时，在Qwen-7B的基础上，我们使用对齐机制打造了基于大语言模型的AI助手Qwen-7B-Chat。相较于最初开源的Qwen-7B模型，我们现已将预训练模型和Chat模型更新到效果更优的版本。本仓库为Qwen-7B-Chat的仓库。
 
 如果您想了解更多关于通义千问-7B开源模型的细节，我们建议您参阅[Github代码库](https://github.com/QwenLM/Qwen)。
 
-**Qwen-7B** is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. Now we have updated both our pretrained and chat model to Qwen-7B v1.1 version with better performances. This repository is the one for Qwen-7B-Chat v1.1.
+**Qwen-7B** is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. Now we have updated both our pretrained and chat models with better performances. This repository is the one for Qwen-7B-Chat.
 
-For more details about the open-source model of Qwen-7B, please refer to the [Github](https://github.com/QwenLM/Qwen) code repository.
+For more details about Qwen, please refer to the [Github](https://github.com/QwenLM/Qwen) code repository.
 <br>
 
 ## 要求（Requirements）
@@ -207,9 +207,9 @@ The above speed and memory profiling are conducted using [this script](https://q
 
 ## 模型细节（Model）
 
-与Qwen-7B预训练模型相同，Qwen-7B-Chat模型规模基本情况如下所示
+与Qwen-7B预训练模型相同，Qwen-7B-Chat模型规模基本情况如下所示:
 
-The details of the model architecture of Qwen-7B-Chat (v1.1 version) are listed as follows:
+The details of the model architecture of Qwen-7B-Chat are listed as follows:
 
 | Hyperparameter  | Value  |
 | :-------------  | :----: |

modeling_qwen.py

@@ -861,6 +861,11 @@ class QWenLMHeadModel(QWenPreTrainedModel):
         assert (
             config.bf16 + config.fp16 + config.fp32 <= 1
         ), "Only one of \"bf16\", \"fp16\", \"fp32\" can be true"
+        logger.warn(
+            "Warning: please make sure that you are using the latest codes and checkpoints, "
+            "especially if you used Qwen-7B before 09.25.2023."
+            "请使用最新模型和代码，尤其如果你在9月25日前已经开始使用Qwen-7B，千万注意不要使用错误代码和模型。"
+        )
 
         autoset_precision = config.bf16 + config.fp16 + config.fp32 == 0