change of readme and req for vllm new version

README.md

@@ -11,8 +11,8 @@ Read this in [English](README_en.md)
 
 ## 项目更新
 
-- 🔥🔥 **News**: ```2024/11/01```: 本仓库依赖进行升级，请更新`requirements.txt`中的依赖以保证正常运行模型。[glm-4-9b-chat-hf](https://huggingface.co/THUDM/glm-4-9b-chat-hf) 是适配 `transformers>=4.46` 的模型权重，使用 transforemrs 库中的 `GlmModel` 类实现。
-同时，[glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat), [glm-4v-9b](https://huggingface.co/THUDM/glm-4v-9b) 中的 `tokenzier_chatglm.py` 已经更新以适配最新版本的 `transforemrs`库。请前往 HuggingFace 更新文件。
+- 🔥🔥 **News**: ```2024/11/01```: 本仓库依赖进行升级，请更新`requirements.txt`中的依赖以保证正常运行模型。[glm-4-9b-chat-hf](https://huggingface.co/THUDM/glm-4-9b-chat-hf) 是适配 `transformers>=4.46.2` 的模型权重，使用 `transformers` 库中的 `GlmModel` 类实现。
+同时，[glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat), [glm-4v-9b](https://huggingface.co/THUDM/glm-4v-9b) 中的 `tokenzier_chatglm.py` 已经更新以适配最新版本的 `transformers`库。请前往 HuggingFace 更新文件。
 - 🔥 **News**: ```2024/10/27```: 我们开源了 [LongReward](https://github.com/THUDM/LongReward)，这是一个使用 AI 反馈改进长上下文大型语言模型。
 - 🔥 **News**: ```2024/10/25```: 我们开源了端到端中英语音对话模型 [GLM-4-Voice](https://github.com/THUDM/GLM-4-Voice)。
 - 🔥 **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-45k](https://huggingface.co/datasets/THUDM/LongCite-45k), 欢迎在 [Huggingface Space](https://huggingface.co/spaces/THUDM/LongCite) 在线体验。

README_en.md

@@ -11,8 +11,8 @@
 
 - 🔥🔥 **News**: ```2024/11/01```: Dependencies have been updated in this repository. Please update the dependencies in
   `requirements.txt` to ensure the model runs correctly. The model weights
-  for [glm-4-9b-chat-hf](https://huggingface.co/THUDM/glm-4-9b-chat-hf) are compatible with `transformers>=4.46` and can
-  be implemented using the `GlmModel` class in the transformers library. Additionally, `tokenizer_chatglm.py`
+  for [glm-4-9b-chat-hf](https://huggingface.co/THUDM/glm-4-9b-chat-hf) are compatible with `transformers>=4.46.2` and can
+  be implemented using the `GlmModel` class in the `transformers` library. Additionally, `tokenizer_chatglm.py`
   in [glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat) and [glm-4v-9b](https://huggingface.co/THUDM/glm-4v-9b)
   has been updated for the latest version of `transformers`. Please update the files on HuggingFace.
 - 🔥 **News**: ```2024/10/27```: We have open-sourced [LongReward](https://github.com/THUDM/LongReward), a model that

basic_demo/requirements.txt

@@ -1,7 +1,6 @@
-torch>=2.5.0
+torch>=2.5.1 # vLLM will use it
 torchvision>=0.20.0
-transformers>=4.46.0
-huggingface-hub>=0.25.1
+transformers>=4.46.2
 sentencepiece>=0.2.0
 jinja2>=3.1.4
 pydantic>=2.9.2
@@ -11,13 +10,12 @@ numpy==1.26.4 # Need less than 2.0.0
 accelerate>=1.0.1
 sentence_transformers>=3.1.1
 gradio==4.44.1 # web demo
-openai>=1.51.0 # openai demo
+openai>=1.54.0 # openai demo
 einops>=0.8.0
 pillow>=10.4.0
 sse-starlette>=2.1.3
-bitsandbytes>=0.43.3 # INT4 Loading
+bitsandbytes>=0.44.1 # INT4 Loading
 
-# vllm>=0.6.3 # using with VLLM Framework
-# flash-attn>=2.6.3 # using with flash-attention 2
+vllm>=0.6.4.post1 # using with VLLM Framework
 # PEFT model, not need if you don't use PEFT finetune model.
-# peft>=0.13.0 # Using with finetune model
+# peft>=0.14.0 # Using with finetune model

finetune_demo/requirements.txt

@@ -1,7 +1,9 @@
 jieba==0.42.1
 datasets==2.20.0
-peft==0.12.2
+peft==0.14.0
 deepspeed==0.14.4
 nltk==3.8.1
 rouge_chinese==1.0.3
-ruamel.yaml==0.18.6
+ruamel.yaml==0.18.6
+typer==0.13.0
+tqdm==4.67.0