update readme

README.md

@@ -24,11 +24,11 @@ inference: false
 
 ## 介绍（Introduction）
 
-**通义千问-14B（Qwen-14B）**是阿里云研发的通义千问大模型系列的140亿参数规模的模型。Qwen-14B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-14B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-14B-Chat。本仓库为Qwen-14B-Chat的Int4量化模型的仓库。（注：下文中除特殊注明外，作为对比的Qwen-7B-Chat均代指升级后的Qwen-7B-Chat v1.1版本。）
+**通义千问-14B（Qwen-14B）**是阿里云研发的通义千问大模型系列的140亿参数规模的模型。Qwen-14B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-14B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-14B-Chat。本仓库为Qwen-14B-Chat的Int4量化模型的仓库。
 
 如果您想了解更多关于通义千问-14B开源模型的细节，我们建议您参阅[Github代码库](https://github.com/QwenLM/Qwen)。
 
-**Qwen-14B** is the 14B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-14B 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-14B, we release Qwen-14B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. This repository is the one for the Int4 quantized model of Qwen-14B-Chat. (Note: unless specially noted, the Qwen-7B-Chat appearing below for comparison refers to the upgraded Qwen-7B-Chat v1.1 version.)
+**Qwen-14B** is the 14B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-14B 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-14B, we release Qwen-14B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. This repository is the one for the Int4 quantized model of Qwen-14B-Chat.
 
 For more details about the open-source model of Qwen-14B, please refer to the [Github](https://github.com/QwenLM/Qwen) code repository.
 <br>

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