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update readme

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README.md
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Read this in [English](README_en.md)
## 项目更新
- 🔥🔥 **News**: ```2024/09/04```: 增加了在 GLM-4-9B-Chat 模型上使用带有 Lora adapter 的 vLLM 演示代码
- 🔥🔥 **News**: ```2024/08/15```: 我们开源具备长文本输出能力(单轮对话大模型输出可超过1万token)
- 🔥 **News**: ```2024/09/05``` 我们开源了使LLMs能够在长上下文问答中生成细粒度引用的模型 [longcite-glm4-9b](https://huggingface.co/THUDM/LongCite-glm4-9b)
以及数据集 [LongCite-14k](https://huggingface.co/datasets/THUDM/LongCite-45k),
欢迎在 [Huggingface Space](https://huggingface.co/spaces/THUDM/LongCite) 在线体验。
- 🔥**News**: ```2024/09/04```: 增加了在 GLM-4-9B-Chat 模型上使用带有 Lora adapter 的 vLLM 演示代码
- 🔥**News**: ```2024/08/15```: 我们开源具备长文本输出能力(单轮对话大模型输出可超过1万token)
的模型 [longwriter-glm4-9b](https://huggingface.co/THUDM/LongWriter-glm4-9b)
以及数据集 [LongWriter-6k](https://huggingface.co/datasets/THUDM/LongWriter-6k),
欢迎在 [Huggingface Space](https://huggingface.co/spaces/THUDM/LongWriter)

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README_en.md
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## Update
- 🔥🔥 **News**: ```2024/09/04```: Add demo code for using vLLM with LoRA adapter on the GLM-4-9B-Chat model.
- 🔥🔥 **News**: ```2024/08/15```: We have open-sourced a model with long-text output capability (single turn LLM output can exceed
- 🔥 **News**: On **2024/09/05**, we open-sourced a model enabling LLMs to generate fine-grained citations in
long-context Q&A: [longcite-glm4-9b](https://huggingface.co/THUDM/LongCite-glm4-9b), along with the
dataset [LongCite-14k](https://huggingface.co/datasets/THUDM/LongCite-45k). You are welcome to experience it online
at [Huggingface Space](https://huggingface.co/spaces/THUDM/LongCite).
- 🔥 **News**: ```2024/09/04```: Add demo code for using vLLM with LoRA adapter on the GLM-4-9B-Chat model.
- 🔥 **News**: ```2024/08/15```: We have open-sourced a model with long-text output capability (single turn LLM output
can exceed
10K tokens) [longwriter-glm4-9b](https://huggingface.co/THUDM/LongWriter-glm4-9b) and the
dataset [LongWriter-6k](https://huggingface.co/datasets/THUDM/LongWriter-6k). You're welcome
to [try it online](https://huggingface.co/spaces/THUDM/LongWriter).

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basic_demo/requirements.txt
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numpy==1.26.4 # Need less than 2.0.0
accelerate>=0.33.0
sentence_transformers>=3.0.1
gradio>=4.41.0 # web demo
openai>=1.40.3 # openai demo
gradio>=4.42.0 # web demo
openai>=1.43.0 # openai demo
einops>=0.8.0
pillow>=10.4.0
sse-starlette>=2.1.3