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MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

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在执行 python -m fastchat.model.apply_delta --base llama-13b/ --target save/working/vicuna/weight/ --delta vicuna-13b-delta-v0/ 命令的时候 顺利读取了原始文件和增重文件 然后报错了,有大神能看看是什么导致了,检查了以下,库应该是完整安装了的

Good morning, could I have the stage 1 checkpoint model? As I would like to fine tune the model on stage 2 with my own dataset, thanks for your help!

did a benchmark ![image](https://user-images.githubusercontent.com/2041322/233100030-e2256f63-461e-4dfb-9e57-5a263434766f.png) full article on experiment https://jina.ai/news/scenexplain-vs-minigpt4-a-comprehensive-benchmark-of-top-5-image-captioning-algorithms-for-understanding-complex-scenes/

I run the script to get the vicuna weights and get the following error: python -m fastchat.model.apply_delta --base I:\chatgpt\minigpt4\MiniGPT-4\llama-13b-hf --target I:\chatgpt\minigpt4\MiniGPT-4\model --delta I:\chatgpt\minigpt4\MiniGPT-4\vicuna-13b-delta-v0 ![image](https://user-images.githubusercontent.com/46183365/233071104-302ceceb-957e-4310-92e3-254845d1187b.png)

![image](https://user-images.githubusercontent.com/69880398/233109462-39e1f57f-f958-4bf2-a675-c57f06440aac.png)

Plz add batch for process directory of jpg files! Thanks.

Has anyone else had the same problem as me? ![image](https://user-images.githubusercontent.com/111858371/233070154-689631a8-2529-4afa-8478-60e86ea9b4ad.png) I followed PrepareVicuna.md and download llama-13b-hf by `git clone https://huggingface.co/decapoda-research/llama-13b-hf`. But in the last step, the problem happened. Could this...

我试图用我的3060(12G)跑,内存不够,需要什么配置的卡才能成功呀,多卡行不行 我在huggingface上建立了一个空间,MiniGPT-4的docker部署,有没有成功的大佬来指点一下 https://huggingface.co/spaces/zylj/MiniGPT-4 ![1681901134608](https://user-images.githubusercontent.com/36829977/233051616-4884b73e-e1ef-4db4-8a8a-407a4981553c.png)

HuggingFace -> Hugging Face