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intel-analytics · Dec 16, 2024 · 696283c · 696283c
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diff --git a/python/llm/example/GPU/HuggingFace/LLM/chatglm3/README.md b/python/llm/example/GPU/HuggingFace/LLM/chatglm3/README.md
@@ -99,12 +99,16 @@ set SYCL_CACHE_PERSISTENT=1
 ### Example 1: Predict Tokens using `generate()` API
 In the example [generate.py](./generate.py), we show a basic use case for a ChatGLM3 model to predict the next N tokens using `generate()` API, with IPEX-LLM INT4 optimizations on Intel GPUs.
 
-```
+```bash
+# for Hugging Face model hub
 python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT
+
+# for ModelScope model hub
+python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT --modelscope
 ```
 
 Arguments info:
-- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the ChatGLM3 model to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'THUDM/chatglm3-6b'` for **Hugging Face** or `ZhipuAI/chatglm3-6b` for **ModelScope**.
+- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the **Hugging Face** or **ModelScope** repo id for the ChatGLM3 model to be downloaded, or the path to the checkpoint folder. It is default to be `'THUDM/chatglm3-6b'` for **Hugging Face** or `ZhipuAI/chatglm3-6b` for **ModelScope**.
 - `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'AI是什么？'`.
 - `--n-predict N_PREDICT`: argument defining the max number of tokens to predict. It is default to be `32`.
 - `--modelscope`: using **ModelScope** as model hub instead of **Hugging Face**.
@@ -140,17 +144,25 @@ AI stands for Artificial Intelligence. It refers to the development of computer
 In the example [streamchat.py](./streamchat.py), we show a basic use case for a ChatGLM3 model to stream chat, with IPEX-LLM INT4 optimizations.
 
 **Stream Chat using `stream_chat()` API**:
-```
+```bash
+# for Hugging Face model hub
 python ./streamchat.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --question QUESTION
+
+# for ModelScope model hub
+python ./streamchat.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --question QUESTION --modelscope
 ```
 
 **Chat using `chat()` API**:
-```
+```bash
+# for Hugging Face model hub
 python ./streamchat.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --question QUESTION --disable-stream
+
+# for ModelScope model hub
+python ./streamchat.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --question QUESTION --disable-stream --modelscope
 ```
 
 Arguments info:
-- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the ChatGLM3 model to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'THUDM/chatglm3-6b'`.
+- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the **Hugging Face** or **ModelScope** repo id for the ChatGLM3 model to be downloaded, or the path to the checkpoint folder. It is default to be `'THUDM/chatglm3-6b'` for **Hugging Face** or `ZhipuAI/chatglm3-6b` for **ModelScope**.
 - `--question QUESTION`: argument defining the question to ask. It is default to be `"晚上睡不着应该怎么办"`.
 - `--disable-stream`: argument defining whether to stream chat. If include `--disable-stream` when running the script, the stream chat is disabled and `chat()` API is used.
 - `--modelscope`: using **ModelScope** as model hub instead of **Hugging Face**.
diff --git a/python/llm/example/GPU/HuggingFace/LLM/chatglm3/generate.py b/python/llm/example/GPU/HuggingFace/LLM/chatglm3/generate.py
@@ -28,8 +28,8 @@
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description='Predict Tokens using `generate()` API for ChatGLM3 model')
     parser.add_argument('--repo-id-or-model-path', type=str, 
-                        help='The huggingface repo id for the ChatGLM3 model to be downloaded'
-                             ', or the path to the huggingface checkpoint folder')
+                        help='The Hugging Face or ModelScope repo id for the ChatGLM3 model to be downloaded'
+                             ', or the path to the checkpoint folder')
     parser.add_argument('--prompt', type=str, default="AI是什么？",
                         help='Prompt to infer')
     parser.add_argument('--n-predict', type=int, default=32,

diff --git a/python/llm/example/GPU/HuggingFace/LLM/chatglm3/streamchat.py b/python/llm/example/GPU/HuggingFace/LLM/chatglm3/streamchat.py
@@ -25,8 +25,8 @@
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description='Stream Chat for ChatGLM3 model')
     parser.add_argument('--repo-id-or-model-path', type=str,
-                        help='The huggingface repo id for the ChatGLM3 model to be downloaded'
-                             ', or the path to the huggingface checkpoint folder')
+                        help='The Hugging Face or ModelScope repo id for the ChatGLM3 model to be downloaded'
+                             ', or the path to the checkpoint folder')
     parser.add_argument('--question', type=str, default="晚上睡不着应该怎么办",
                         help='Qustion you want to ask')
     parser.add_argument('--disable-stream', action="store_true",