report

README.md

@@ -17,6 +17,10 @@ inference: false
 
 Read this in [English](README_en.md).
 
+**2024/07/24，我们发布了与长文本相关的最新技术解读，关注 [这里](https://medium.com/@ChatGLM/glm-long-scaling-pre-trained-model-contexts-to-millions-caa3c48dea85) 查看我们在训练 GLM-4-9B 开源模型中关于长文本技术的技术报告**
+
+## 模型介绍
+
 GLM-4-9B 是智谱 AI 推出的最新一代预训练模型 GLM-4 系列中的开源版本。
 在语义、数学、推理、代码和知识等多方面的数据集测评中，GLM-4-9B 及其人类偏好对齐的版本 GLM-4-9B-Chat 均表现出较高的性能。
 除了能进行多轮对话，GLM-4-9B-Chat 还具备网页浏览、代码执行、自定义工具调用（Function Call）和长文本推理（支持最大 128K

README_en.md

@@ -1,5 +1,9 @@
 # GLM-4-9B-Chat-1M
 
+**On July 24, 2024, we released the latest technical interpretation related to long texts. Check
+out [here](https://medium.com/@ChatGLM/glm-long-scaling-pre-trained-model-contexts-to-millions-caa3c48dea85) to view our
+technical report on long context technology in the training of the open-source GLM-4-9B model.**
+
 ## Model Introduction
 
 GLM-4-9B is the open-source version of the latest generation of pre-trained models in the GLM-4 series launched by Zhipu
@@ -32,7 +36,8 @@ The long text capability was further evaluated on LongBench, and the results are
 
 **For more inference code and requirements, please visit our [github page](https://github.com/THUDM/GLM-4).**
 
-**Please strictly follow the [dependencies](https://github.com/THUDM/GLM-4/blob/main/basic_demo/requirements.txt) to install, otherwise it will not run properly**
+**Please strictly follow the [dependencies](https://github.com/THUDM/GLM-4/blob/main/basic_demo/requirements.txt) to
+install, otherwise it will not run properly**
 
 ### Use the following method to quickly call the GLM-4-9B-Chat-1M language model
 
@@ -47,7 +52,7 @@ from transformers import (
 
 device = "cuda"
 
-tokenizer = AutoTokenizer.from_pretrained("THUDM/glm-4-9b-chat-1m",trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("THUDM/glm-4-9b-chat-1m", trust_remote_code=True)
 
 query = "你好"