Confused about download model files when trying deploy demo locally

[GodfatherPacino]

Hi developers, thanks for your wonderful job and I have got good performance when I input my own test images on your web demo. So I tried to run your model demo locally. But I got confused when I followed your readme step by step.
First, there is only 2 files in http://lmflow.org:5000/detgpt/

But more files in the upper level directory. Are there some of them should be put in /detgpt or useful for DetGPT?

Second, In readme, Step 2 suggests 'use Robin from LMFlow team', merge Robin with origin Llama model. But in 'Deploy Demo Locally' part, it seems that the demo is using 'linear weights based on Vicuna-13B-v1.1'. So Vicuna-13B is used as the LLM part in demo?
And I can not find the pretrained linear weights following the link. It seems only complete vicuna models on your hugging face account.

All above is my questions. I am confused. Looking forward to your responses! Thanks

[shizhediao]

Hi,
Both Robin and Vicuna perform comparably in our demo.
In Deploy Demo Locally, we currently open-source the linear weights for vicuna. If you want to use it, you can merge its delta weights and llama original weight.

Thank you!

[Liiiiiiiiiq]

Hi, Both Robin and Vicuna perform comparably in our demo. In Deploy Demo Locally, we currently open-source the linear weights for vicuna. If you want to use it, you can merge its delta weights and llama original weight.

Thank you!

Hi,I have merged its delta weights and llama original weight to get vicuna-13b, but the effect achieved when deploying locally is different from the effect shown on github. Why?