Upload README.md

README.md

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 📖 [Paper](https://arxiv.org/abs/2410.17241) | 🏠 [Home](https://github.com/ai4colonoscopy/IntelliScope) 
 
-> This is the merged weights of [ColonGPT-v1-phi1.5-siglip-lora-stg2](https://drive.google.com/file/d/1xAAaVKu16czWO_jgnf-2jCgj2hf14BwM/view?usp=sharing), including vision encoder (siglip) + language model (phi-1.5), and other fine-tuned weights on our ColonINST. 
+> This is the merged weights of [ColonGPT-v1-phi1.5-siglip-lora-stg2](https://drive.google.com/file/d/10_1UrMxpThnn61jZmvKx6f8h7lb0hx-W/view?usp=drive_link), including vision encoder (siglip) + language model (phi-1.5), and other fine-tuned weights on our ColonINST. 
 
-Our ColonGPT is a standard multimodal language model, which contains four basic components: a language tokenizer, an visual encoder (🤗 [SigLIP-SO](https://huggingface.co/google/siglip-so400m-patch14-384)), a multimodal connector, and a language model (🤗 [Phi1.5](https://huggingface.co/microsoft/phi-1_5)). In this huggingface page, we provide a quick start for convenient of new users. For further details about ColonGPT, we highly recommend visiting our [homepage](https://github.com/BAAI-DCAI/Bunny). There, you'll find comprehensive usage instructions for our model and the latest advancements in intelligent colonoscopy technology.
+Our ColonGPT is a standard multimodal language model, which contains four basic components: a language tokenizer, an visual encoder (🤗 [SigLIP-SO](https://huggingface.co/google/siglip-so400m-patch14-384)), a multimodal connector, and a language model (🤗 [Phi1.5](https://huggingface.co/microsoft/phi-1_5)). In this huggingface page, we provide a quick start for convenient of new users. For further details about ColonGPT, we highly recommend visiting our [homepage](https://github.com/ai4colonoscopy/IntelliScope). There, you'll find comprehensive usage instructions for our model and the latest advancements in intelligent colonoscopy technology.
 
 
 # Quick start