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@ -83,9 +83,10 @@ and/or the path to the llama2 weight in the model config file
Download the pretrained checkpoints according to the Vicuna model you prepare.
| Checkpoint Aligned with Vicuna 13B | Checkpoint Aligned with Vicuna 7B | Checkpoint Aligned with Llama 2 Chat 7B |
| Checkpoint Aligned with Vicuna 13B | Checkpoint Aligned with Vicuna 7B | Checkpoint Aligned with Llama 2 Chat 7B |
:------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------:
[Downlad](https://drive.google.com/file/d/1a4zLvaiDBr-36pasffmgpvH5P7CKmpze/view?usp=share_link) | [Download](https://drive.google.com/file/d/1RY9jV0dyqLX-o38LrumkKRh6Jtaop58R/view?usp=sharing) | [Download](https://drive.google.com/file/d/11nAPjEok8eAGGEG1N2vXo3kBLCg0WgUk/view?usp=sharing)
[Download](https://drive.google.com/file/d/1a4zLvaiDBr-36pasffmgpvH5P7CKmpze/view?usp=share_link) | [Download](https://drive.google.com/file/d/1RY9jV0dyqLX-o38LrumkKRh6Jtaop58R/view?usp=sharing) | [Download](https://drive.google.com/file/d/11nAPjEok8eAGGEG1N2vXo3kBLCg0WgUk/view?usp=sharing)
Then, set the path to the pretrained checkpoint in the evaluation config file
@ -93,6 +94,11 @@ in [eval_configs/minigpt4_eval.yaml](eval_configs/minigpt4_eval.yaml#L10) at Lin
MiniGPT-v2 checkpoints
MiniGPT-v2 Checkpoint (online demo version) |
[Download](https://drive.google.com/file/d/1aVbfW7nkCSYx99_vCRyP1sOlQiWVSnAl/view?usp=sharing)
### Launching Demo Locally
Try out our demo [demo.py](demo.py) for the vicuna version on your local machine by running