solve ci issue

.ci/skipped_notebooks.yml

@@ -562,4 +562,8 @@
         - macos-13
         - ubuntu-20.04
         - ubuntu-22.04
-        - windows-2019
+        - windows-2019
+- notebook: notebooks/glm-edge-v/glm-edge-v.ipynb
+  skips:
+    - os:
+        - macos-13

notebooks/glm-edge-v/README.md

@@ -1,6 +1,6 @@
 ## Visual-language assistant with GLM-Edge-V and OpenVINO
 
-The [GLM-Edge](https://huggingface.co/collections/THUDM/glm-edge-6743283c5809de4a7b9e0b8b) series is [Zhipu's](https://huggingface.co/THUDM) attempt to meet real-world deployment scenarios for edge devices. It consists of two sizes of large language dialogue models and multimodal understanding models (GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, GLM-Edge-V-5B). Among them, the 1.5B / 2B models are mainly targeted at platforms like mobile phones and car machines, while the 4B / 5B models are aimed at platforms like PCs. Based on the technological advancements of the GLM-4 series, some targeted adjustments have been made to the model structure and size, balancing model performance, real-world inference efficiency, and deployment convenience. Through deep collaboration with partner enterprises and relentless efforts in inference optimization, the GLM-Edge series models can run at extremely high speeds on some edge platforms.
+The [GLM-Edge](https://huggingface.co/collections/THUDM/glm-edge-6743283c5809de4a7b9e0b8b) series is [Zhipu](https://huggingface.co/THUDM)'s attempt to meet real-world deployment scenarios for edge devices. It consists of two sizes of large language dialogue models and multimodal understanding models (GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, GLM-Edge-V-5B). Among them, the 1.5B / 2B models are mainly targeted at platforms like mobile phones and car machines, while the 4B / 5B models are aimed at platforms like PCs. Based on the technological advancements of the GLM-4 series, some targeted adjustments have been made to the model structure and size, balancing model performance, real-world inference efficiency, and deployment convenience. Through deep collaboration with partner enterprises and relentless efforts in inference optimization, the GLM-Edge series models can run at extremely high speeds on some edge platforms.
 
 In this tutorial we consider how to launch multimodal model GLM-Edge-V using OpenVINO for creation multimodal chatbot. Additionally, we optimize model to low precision using [NNCF](https://github.com/openvinotoolkit/nncf)
 

notebooks/glm-edge-v/glm-edge-v.ipynb

@@ -8,7 +8,7 @@
    "source": [
     "## Visual-language assistant with GLM-Edge-V and OpenVINO\n",
     "\n",
-    "The [GLM-Edge](https://huggingface.co/collections/THUDM/glm-edge-6743283c5809de4a7b9e0b8b) series is [Zhipu's](https://huggingface.co/THUDM) attempt to meet real-world deployment scenarios for edge devices. It consists of two sizes of large language dialogue models and multimodal understanding models (GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, GLM-Edge-V-5B). Among them, the 1.5B / 2B models are mainly targeted at platforms like mobile phones and car machines, while the 4B / 5B models are aimed at platforms like PCs. Based on the technological advancements of the GLM-4 series, some targeted adjustments have been made to the model structure and size, balancing model performance, real-world inference efficiency, and deployment convenience. Through deep collaboration with partner enterprises and relentless efforts in inference optimization, the GLM-Edge series models can run at extremely high speeds on some edge platforms.\n",
+    "The [GLM-Edge](https://huggingface.co/collections/THUDM/glm-edge-6743283c5809de4a7b9e0b8b) series is [Zhipu](https://huggingface.co/THUDM)'s attempt to meet real-world deployment scenarios for edge devices. It consists of two sizes of large language dialogue models and multimodal understanding models (GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, GLM-Edge-V-5B). Among them, the 1.5B / 2B models are mainly targeted at platforms like mobile phones and car machines, while the 4B / 5B models are aimed at platforms like PCs. Based on the technological advancements of the GLM-4 series, some targeted adjustments have been made to the model structure and size, balancing model performance, real-world inference efficiency, and deployment convenience. Through deep collaboration with partner enterprises and relentless efforts in inference optimization, the GLM-Edge series models can run at extremely high speeds on some edge platforms.\n",
     "\n",
     "In this tutorial we consider how to launch multimodal model GLM-Edge-V using OpenVINO for creation multimodal chatbot. Additionally, we optimize model to low precision using [NNCF](https://github.com/openvinotoolkit/nncf)\n",
     "#### Table of contents:\n",
@@ -441,7 +441,7 @@
    "version": "3.10.7"
   },
   "openvino_notebooks": {
-   "imageUrl": "https://github.com/user-attachments/assets/06c51867-0580-4434-962e-31b6068c2001",
+   "imageUrl": "https://github.com/user-attachments/assets/a0c07db9-69d4-4dea-a8fc-424c02ccebf4",
    "tags": {
     "categories": [
      "Model Demos",