Update README.md

README.md

@@ -14,14 +14,14 @@ pipeline_tag: document-question-answering
 tags:
 - text-generation-inference
 ---
-### Multi Modal Multi Language (3ML), with less then 10G VRAM
+### Multi Modal Multi Language (3ML)
 
-This model is 4bit quantized of glm-4v-9b Model and fixed some error to executing on google colab.
+This model is 4bit quantized of glm-4v-9b Model. 
 
-It has exciting result in document and image  understanding and questioning near GPT-4o.
+It has exciting result in document and image understanding and questioning near GPT-4o with less than 10G VRAM.
 
-
-you can try this model on free google colab. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1aZGX9f5Yw1WbiOrS3TpvPk_UJUP_yYQU?usp=sharing)
+some bugs fixed and It can excute on free version of google colab.
+# Try it: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1aZGX9f5Yw1WbiOrS3TpvPk_UJUP_yYQU?usp=sharing)
 
 ### About GLM-4V-9B
 
@@ -44,13 +44,8 @@ GLM-4V-9B is a multimodal language model with visual understanding capabilities.
 | **GLM-4v-9B**           | 81.1                | 79.4                | 76.8              | 58.7       | 47.2     | 2163.8  | 46.6               | 81.1     | 786          |
 **This repository is the model repository of 4bit quantized of GLM-4V-9B model, supporting `8K` context length.**
 ## Quick Start
-To use this model you must have new version of transformers and these libraries 
-
-pip install tiktoken
-pip install bitsandbytes
-pip install git+https://github.com/huggingface/accelerate.git
 
-you can use colab model or using this python script.
+Use colab model or this python script.
 ```python
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer