Update README.md

README.md

@@ -19,8 +19,13 @@ pipeline_tag: visual-question-answering
 
 \[[InternVL 1.5 Technical Report](https://arxiv.org/abs/2404.16821)\]  \[[CVPR Paper](https://arxiv.org/abs/2312.14238)\]  \[[GitHub](https://github.com/OpenGVLab/InternVL)\] \[[Chat Demo](https://internvl.opengvlab.com/)\] \[[中文解读](https://zhuanlan.zhihu.com/p/675877376)]
 
+You can run multimodal large models using a 1080Ti now.
+
 We are delighted to introduce Mini-InternVL-Chat-2B-V1-5. In the era of large language models, many researchers have started to focus on smaller language models, such as Gemma-2B, Qwen-1.8B, and InternLM2-1.8B. Inspired by their efforts, we have distilled our vision foundation model InternViT-6B-448px-V1-5 down to 300M and used InternLM2-Chat-1.8B as our language model. This resulted in a small multimodal model with excellent performance.
 
+As shown in the figure below, we adopted the same model architecture as InternVL 1.5. We simply replaced the original InternViT-6B with InternViT-300M and InternLM2-Chat-20B with InternLM2-Chat-1.8B. For training, we used the same data as InternVL 1.5 to train this smaller model. Additionally, due to the lower training costs of smaller models, we used a context length of 8K during training.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/SmtrR0c5NVhmSTvnwwCE9.png)
 
 ## Model Details
 - **Model Type:** multimodal large language model (MLLM)
@@ -43,10 +48,6 @@ We are delighted to introduce Mini-InternVL-Chat-2B-V1-5. In the era of large la
 | InternVL-Chat-V1.2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) )      |InternViT-6B-448px-V1-2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2))     |2024.02.11       |             scaling up LLM to 34B       |
 | InternVL-Chat-V1.1(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1))      |InternViT-6B-448px-V1-0(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0))    |2024.01.24         |   support Chinese and stronger OCR   |
 
-## Architecture
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6579b818563044badca392fc/OM6Ejt8Q9ewSAsGZcDqH0.png)
-
 ## Performance
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/BbsilHS8PjwZwlc330_g4.png)