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intel-analytics · Jun 12, 2024 · 9fbcf97 · 9fbcf97
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diff --git a/python/llm/example/CPU/HF-Transformers-AutoModels/Model/glm4/README.md b/python/llm/example/CPU/HF-Transformers-AutoModels/Model/glm4/README.md
@@ -31,7 +31,6 @@ conda activate llm
 
 pip install --pre --upgrade ipex-llm[all]
 
-# install tiktoken required for GLM-4
 pip install tiktoken
 ```
 
@@ -122,7 +121,6 @@ conda activate llm
 
 pip install --pre --upgrade ipex-llm[all]
 
-# install tiktoken required for GLM-4
 pip install tiktoken
 ```
 

diff --git a/python/llm/example/CPU/PyTorch-Models/Model/glm4/README.md b/python/llm/example/CPU/PyTorch-Models/Model/glm4/README.md
@@ -32,7 +32,6 @@ conda activate llm
 
 pip install --pre --upgrade ipex-llm[all]
 
-# install tiktoken required for GLM-4
 pip install tiktoken
 ```
 
@@ -68,7 +67,7 @@ In the example, several arguments can be passed to satisfy your requirements:
 - `--n-predict`: int, argument defining the max number of tokens to predict. It is default to be `32`.
 
 #### 2.4 Sample Output
-#### [THUDM/glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat)
+##### [THUDM/glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat)
 ```log
 Inference time: xxxx s
 -------------------- Output --------------------